Basalt fiber parameter optimization method and system based on orthogonal test

Abstract

The present application relates to basalt fiber optimization technical field, a kind of basalt fiber parameter optimization method and system based on orthogonal test, comprising: confirming fiber parameter optimization environment based on fiber parameter optimization instruction, based on pre-experiment unit, single-factor test is carried out to the horizontal gradient set and concrete raw material, based on constraint index set, the test index set is filtered, based on multiple experimental schemes, test is carried out, based on comprehensive performance score set, compressive strength set, splitting tensile strength set and modulus of rupture set, representative scheme screening is carried out, based on grouping experimental parameter set, durability index set is calculated, based on durability index set, maximum durability index is obtained, and based on maximum durability index, optimal proportioning scheme is obtained.The present application can improve the accuracy, efficiency and concrete comprehensive performance of basalt fiber parameter optimization.

Description

Technical Field

[0001] This invention relates to the field of basalt fiber optimization technology, and in particular to a method and system for optimizing basalt fiber parameters based on orthogonal experiments. Background Technology

[0002] With the widespread application of basalt fiber reinforced concrete in harsh environmental engineering, higher requirements are being placed on the synergistic optimization of its mechanical and durability properties.

[0003] Existing formulation design methods have significant limitations: traditional single-factor experimental methods are inefficient and struggle to reveal the interactive effects between multiple parameters such as water-cement ratio, fiber content, and length; while conventional orthogonal experiments mostly focus on optimizing single mechanical properties such as compressive strength and flexural strength, lacking a systematic consideration and comprehensive evaluation of key durability aspects such as crack resistance, impermeability, freeze-thaw resistance, and impact and abrasion resistance. Therefore, there is an urgent need for an orthogonal experimental method that can integrate intelligent parameter screening, balanced optimization of multiple indicators, and systematic verification of durability. Summary of the Invention

[0004] This invention provides a method and system for optimizing basalt fiber parameters based on orthogonal experiments. Its main purpose is to improve the accuracy and efficiency of basalt fiber parameter optimization and the overall performance of concrete.

[0005] To achieve the above objectives, this invention provides a method for optimizing basalt fiber parameters based on orthogonal experiments, comprising:

[0006] Confirm receipt of fiber parameter optimization instructions, and confirm the fiber parameter optimization environment based on the fiber parameter optimization instructions. The fiber parameter optimization environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system includes a pre-experiment unit, an orthogonal test unit, and a performance evaluation unit.

[0007] A horizontal gradient set is obtained, which includes a water-cement ratio horizontal gradient set, a fiber content horizontal gradient set, and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor tests are conducted on the horizontal gradient set and concrete raw materials to obtain a set of test indicators.

[0008] Obtain a set of constraint indicators, and filter the set of test indicators based on the set of constraint indicators to obtain the range of water-binder ratio, fiber content range and fiber length range. Based on the orthogonal experimental unit, the range of water-binder ratio, the range of fiber content and the range of fiber length, conduct experimental planning to obtain multiple sets of experimental schemes.

[0009] Tests were conducted based on the aforementioned multiple experimental schemes to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set was then calculated based on the aforementioned performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set.

[0010] A benchmark experimental group is obtained. Representative schemes are screened based on the comprehensive performance score set, compressive strength set, splitting tensile strength set, and flexural strength set to obtain three representative experimental groups. Group experiments are conducted on the benchmark experimental group and the three representative experimental groups based on the performance evaluation unit to obtain a group experimental parameter set. A durability index set is calculated based on the group experimental parameter set.

[0011] The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the basalt fiber parameters of concrete raw materials are optimized.

[0012] Optionally, the step of conducting single-factor experiments on the horizontal gradient set and concrete raw materials based on the pre-experimental unit to obtain a set of test indicators includes:

[0013] Obtain a fixed water-cement ratio, a fixed fiber content, and a fixed fiber length;

[0014] Based on the water-cement ratio gradient set, fixed fiber content, fixed fiber length, and concrete raw materials, multiple concrete specimens are prepared to obtain multiple concrete specimens. The water-cement ratio gradient set includes multiple increasing water-cement ratios. The multiple concrete specimens are measured based on the pre-experiment unit to obtain a first test subset. The first test subset includes a first slump set and a first compressive strength set.

[0015] A second test subset is obtained based on the fiber content level gradient set, a fixed water-cement ratio, and a fixed fiber length. The second test subset includes a second slump set and a second compressive strength set.

[0016] A third test subset is obtained based on the fiber length horizontal gradient set, a fixed water-cement ratio, and a fixed fiber content. The third test subset includes a third slump set and a third compressive strength set.

[0017] The test metric set is obtained by summing the first test subset, the second test subset, and the third test subset.

[0018] Optionally, the step of obtaining the constraint index set, and filtering the test index set based on the constraint index set to obtain the water-cement ratio range, fiber content range, and fiber length range, includes:

[0019] A set of constraint indicators is obtained based on a pre-built parameter database, wherein the set of constraint indicators includes slump constraint threshold and compressive strength constraint threshold.

[0020] The slump constraint threshold, the compressive strength constraint threshold, the first slump set, and the first compressive strength set are compared, wherein the first slump set includes multiple slumps, the first compressive strength set includes multiple compressive strengths, and the multiple slumps correspond one-to-one with the multiple compressive strengths.

[0021] If the slump is greater than or equal to the slump constraint threshold and the compressive strength corresponding to the slump is greater than or equal to the compressive strength constraint threshold, then the water-cement ratio corresponding to the slump and compressive strength is identified as a suitable water-cement ratio, and a water-cement ratio range is obtained based on the suitable water-cement ratio.

[0022] The fiber content range is obtained based on the slump constraint threshold, the compressive strength constraint threshold, the second slump set, and the second compressive strength set;

[0023] The fiber length range is obtained based on the slump constraint threshold, the compressive strength constraint threshold, the third slump set, and the third compressive strength set.

[0024] Optionally, the experimental planning based on the orthogonal experimental unit, water-to-binder ratio range, fiber content range, and fiber length range yields multiple experimental schemes, including:

[0025] Based on the orthogonal experimental unit, the ranges of water-binder ratio, fiber content, and fiber length are selected to obtain the water-binder ratio sequence, fiber content sequence, and fiber length sequence, wherein the water-binder ratio sequence, fiber content sequence, and fiber length sequence each contain 4 water-binder ratios, 4 fiber contents, and 4 fiber lengths.

[0026] The water-binder ratio, fiber content, and fiber length are used as the three factors in the orthogonal experiment. The four water-binder ratios, four fiber contents, and four fiber lengths in the water-binder ratio sequence, fiber content sequence, and fiber length sequence are combined and mapped according to a preset three-factor four-level orthogonal table to obtain multiple experimental schemes. Each of the multiple experimental schemes corresponds to a combination of water-binder ratio, fiber content, and fiber length.

[0027] Optionally, the testing based on the multiple sets of experimental schemes to obtain the compressive strength set, splitting tensile strength set, and flexural strength set includes:

[0028] Based on the aforementioned multiple experimental schemes, concrete raw materials were used to prepare specimens, resulting in multiple sets of initial experimental specimens.

[0029] The multiple sets of initial experimental specimens were maintained at a preset age to obtain multiple sets of experimental specimens;

[0030] The compressive strength, splitting tensile strength and flexural strength of the multiple sets of experimental specimens were tested respectively to obtain the compressive strength set, splitting tensile strength set and flexural strength set.

[0031] Optionally, the calculation of the comprehensive performance score set based on the performance evaluation unit, the compressive strength set, the splitting tensile strength set, and the flexural strength set includes:

[0032] Based on the performance evaluation unit, extreme value queries are performed on the compressive strength set, splitting tensile strength set, and flexural strength set respectively to obtain the maximum compressive strength, minimum compressive strength, maximum splitting tensile strength, minimum splitting tensile strength, maximum flexural strength, and minimum flexural strength.

[0033] The comprehensive performance score is calculated based on the set of compressive strength, splitting tensile strength, flexural strength, maximum compressive strength, minimum compressive strength, maximum splitting tensile strength, minimum splitting tensile strength, maximum flexural strength, and minimum flexural strength. The calculation formula is as follows:

[0034]

[0035] in, This indicates the overall performance score. This represents the i-th compressive strength concentration. This represents the minimum compressive strength. This indicates the maximum compressive strength. This represents the i-th splitting tensile strength in the splitting tensile strength concentration. This represents the minimum splitting tensile strength. This represents the maximum splitting tensile strength. This represents the i-th flexural strength concentration. This represents the minimum flexural strength. Indicates the maximum flexural strength;

[0036] The overall performance scores are summarized to obtain an overall performance score set.

[0037] Optionally, the acquisition of the benchmark experimental group involves selecting representative schemes based on the comprehensive performance score set, compressive strength set, splitting tensile strength set, and flexural strength set, resulting in three representative experimental groups, including:

[0038] The optimal water-cement ratio is obtained based on the comprehensive performance score set, and a benchmark experimental group is obtained based on the optimal water-cement ratio and the preset fiber-free environment.

[0039] The highest compressive strength is obtained based on the set of compressive strengths, and the experimental scheme corresponding to the highest compressive strength is identified as the first experimental group.

[0040] Range analysis was performed on the set of compressive strength, splitting tensile strength and flexural strength to obtain the theoretically optimal combination, which was then used as the second experimental group.

[0041] Based on the comprehensive performance score set, the experimental scheme with the highest comprehensive performance score was identified, and the experimental scheme with the highest comprehensive performance score was determined as the third experimental group;

[0042] The first, second, and third experimental groups were combined to obtain three representative experimental groups.

[0043] Optionally, the step of conducting grouped experiments on the benchmark experimental group and three representative experimental groups based on the performance evaluation unit to obtain a set of grouped experimental parameters, and calculating a set of durability indices based on the set of grouped experimental parameters, includes:

[0044] Based on the performance evaluation unit, the benchmark experimental group, the first experimental group, the second experimental group and the third experimental group were subjected to ring-constrained cracking test, impermeability test, freeze-thaw cycle test and impact abrasion test respectively, and the first cracking time set, the maximum crack width set, the relative permeability coefficient set, the relative dynamic elastic modulus set and the impact abrasion strength set were obtained.

[0045] By summarizing the sets of first cracking time, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact abrasion resistance, a set of grouped experimental parameters is obtained.

[0046] Multiple durability indices are calculated based on the grouped experimental parameter set;

[0047] By summing up the multiple durability indices, a set of durability indices is obtained.

[0048] Optionally, obtaining the optimal ratio scheme based on the maximum durability index includes:

[0049] The experimental group corresponding to the maximum durability index is identified as the candidate experimental group. If the candidate experimental group is the second experimental group among the three representative experimental groups, then the candidate experimental group is identified as the optimal experimental group, and the optimal ratio scheme is obtained based on the optimal experimental group.

[0050] If the experimental group corresponding to the maximum durability index is not the second experimental group among the three representative experimental groups, then a candidate durability index and a candidate comprehensive performance score are obtained based on the candidate experimental group, the durability index set, and the comprehensive performance score set, and a second durability index and a second comprehensive performance score are obtained based on the second experimental group, the durability index set, and the comprehensive performance score set.

[0051] Based on the candidate durability index and candidate comprehensive performance score, the candidate optimization decision value is calculated using the following formula:

[0052]

[0053] in, Optimize decision values ​​for candidates. This indicates the candidate's overall performance score. This indicates the maximum overall performance score. Indicates the candidate durability index, Indicates the maximum durability index. This indicates the acceptable threshold for the durability index. Indicates an indicator function, when If ≥ 0, then it is 1; otherwise, it is 0. and Indicates the weighting coefficient;

[0054] The second optimization decision value is calculated based on the second durability index and the second comprehensive performance score. The candidate optimization decision value and the second optimization decision value are compared. If the candidate optimization decision value is greater than the second optimization decision value, the candidate experimental group is confirmed as the optimal experimental group, and the optimal ratio scheme is obtained based on the optimal experimental group.

[0055] If the candidate optimization decision value is less than the second optimization decision value, then the second experimental group will be identified as the optimal experimental group, and the optimal ratio scheme will be obtained based on the optimal experimental group.

[0056] To achieve the above objectives, the present invention also provides a basalt fiber parameter optimization system based on orthogonal experiments, comprising:

[0057] The environment confirmation module is used to confirm the receipt of fiber parameter optimization instructions and confirm the fiber parameter optimization environment based on the fiber parameter optimization instructions. The fiber parameter optimization environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system includes a pre-experiment unit, an orthogonal test unit, and a performance evaluation unit.

[0058] The single-factor experimental module is used to obtain a horizontal gradient set, which includes a water-cement ratio horizontal gradient set, a fiber content horizontal gradient set, and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor experiments are conducted on the horizontal gradient set and concrete raw materials to obtain a set of test indicators.

[0059] The orthogonal experimental module is used to obtain a set of constraint indicators, and to filter the test indicator set based on the set of constraint indicators to obtain the water-binder ratio range, fiber content range, and fiber length range. Based on the orthogonal experimental unit, the water-binder ratio range, the fiber content range, and the fiber length range, experimental planning is carried out to obtain multiple sets of experimental schemes.

[0060] Tests were conducted based on the aforementioned multiple experimental schemes to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set was then calculated based on the aforementioned performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set.

[0061] The comprehensive scoring module is used to obtain the benchmark experimental group, and to screen representative schemes based on the comprehensive performance scoring set, compressive strength set, splitting tensile strength set and flexural strength set to obtain three representative experimental groups. Based on the performance evaluation unit, the benchmark experimental group and the three representative experimental groups are subjected to grouped experiments to obtain a set of grouped experimental parameters. Based on the set of grouped experimental parameters, the durability index set is calculated.

[0062] The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the basalt fiber parameters of concrete raw materials are optimized.

[0063] To address the above problems, the present invention also provides an electronic device, the electronic device comprising:

[0064] Memory, storing at least one instruction;

[0065] The processor executes the instructions stored in the memory to implement the above-described method for optimizing basalt fiber parameters based on orthogonal experiments.

[0066] To address the aforementioned problems, the present invention also provides a computer-readable storage medium storing at least one instruction, which is executed by a processor in an electronic device to implement the above-described method for optimizing basalt fiber parameters based on orthogonal experiments.

[0067] To address the problems described in the background art, this invention confirms the receipt of fiber parameter optimization instructions and, based on these instructions, confirms the fiber parameter optimization environment. This environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system comprises a pre-experiment unit, an orthogonal experimental unit, and a performance evaluation unit. Therefore, this invention considers the complexity of concrete raw materials and environmental factors during the basalt fiber parameter optimization process. By confirming the optimization environment, modular collaboration of the system is ensured, providing a reliable foundation for subsequent experimental design, thereby improving the overall systematicity and adaptability of parameter optimization. A horizontal gradient set is obtained, including a water-cement ratio horizontal gradient set and fiber admixture... The invention introduces a horizontal gradient set and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor experiments are conducted on the horizontal gradient sets and concrete raw materials to obtain a set of test indicators. This demonstrates that the invention introduces a horizontal gradient set and a single-factor experimental mechanism to achieve preliminary screening of key variables, avoiding the inefficiency of traditional blind experiments, and thus laying a data-driven foundation for orthogonal experiments. A constraint index set is then obtained, and the test indicator set is screened based on this constraint index set to obtain the water-cement ratio range, fiber content range, and fiber length range. Experimental planning is then conducted based on the orthogonal experimental unit, the water-cement ratio range, the fiber content range, and the fiber length range to obtain multiple experimental schemes. This demonstrates that the invention optimizes the variable range through constraint screening and adopts... Orthogonal programming reduces the number of test groups, thereby improving experimental efficiency and resource utilization. Based on the multiple experimental schemes, tests are conducted to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set is calculated based on the performance evaluation unit, the compressive strength set, the splitting tensile strength set, and the flexural strength set. It is evident that this embodiment of the invention combines multiple strength indicators to calculate the comprehensive score, achieving quantitative evaluation of performance and avoiding the bias of a single indicator, thereby improving the comprehensiveness and objectivity of the optimization results. A benchmark experimental group is obtained. Representative schemes are screened based on the comprehensive performance score set, the compressive strength set, the splitting tensile strength set, and the flexural strength set to obtain three representative experimental groups. The performance evaluation unit is used to evaluate the benchmark experimental group and... Three representative experimental groups were conducted to obtain a set of grouped experimental parameters. Based on the set of grouped experimental parameters, a set of durability indices was calculated. It can be seen that the present invention introduces a benchmark group and a grouped experimental mechanism to further verify the durability of the representative scheme, thereby ensuring the long-term reliability and applicability of the optimal scheme. The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the parameters of basalt fiber in concrete raw materials are optimized. It can be seen that the present invention forms a closed-loop optimization process by maximizing the index, and improves the practical value of the scheme by combining durability assessment. Therefore, the present invention can improve the accuracy, efficiency and comprehensive performance of concrete by optimizing basalt fiber parameters. Attached Figure Description

[0068] Figure 1 This is a flowchart illustrating a method for optimizing basalt fiber parameters based on orthogonal experiments, provided in an embodiment of the present invention.

[0069] Figure 2 This is a functional block diagram of a basalt fiber parameter optimization system based on orthogonal experiments provided in an embodiment of the present invention;

[0070] Figure 3 This is a schematic diagram of the structure of an electronic device for implementing the basalt fiber parameter optimization method based on orthogonal experiments, according to an embodiment of the present invention.

[0071] Explanation of reference numerals in the attached figures:

[0072] 10. Electronic device; 11. Processor; 12. Memory; 13. Bus.

[0073] The realization of the objective, functional features and advantages of the present invention will be further explained in conjunction with the embodiments and with reference to the accompanying drawings. Detailed Implementation

[0074] It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

[0075] This application provides a method for optimizing basalt fiber parameters based on orthogonal experiments. The execution entity of this orthogonal experiment-based basalt fiber parameter optimization method includes, but is not limited to, at least one of the following electronic devices that can be configured to execute the method provided in this application: a server, a terminal, etc. In other words, the orthogonal experiment-based basalt fiber parameter optimization method can be executed by software or hardware installed on a terminal device or a server device, and the software can be a blockchain platform. The server includes, but is not limited to, a single server, a server cluster, a cloud server, or a cloud server cluster.

[0076] Reference Figure 1 The diagram shown is a flowchart illustrating a method for optimizing basalt fiber parameters based on orthogonal experiments according to an embodiment of the present invention. In this embodiment, the method for optimizing basalt fiber parameters based on orthogonal experiments includes:

[0077] S1. Confirm receipt of fiber parameter optimization instruction, and confirm fiber parameter optimization environment based on the fiber parameter optimization instruction. The fiber parameter optimization environment includes fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system includes pre-experiment unit, orthogonal test unit and performance evaluation unit.

[0078] It should be explained that the fiber parameter optimization instruction refers to the instruction issued by personnel who wish to optimize the parameters of basalt fibers; the fiber parameter optimization environment refers to the necessary environment for optimizing basalt fiber parameters; the fiber parameter optimization system refers to a system capable of optimizing fiber parameters, and the fiber parameter optimization system includes a pre-experiment unit, an orthogonal experimental unit, and a performance evaluation unit. For the specific application of these units, please refer to subsequent embodiments. The concrete raw materials refer to the raw materials used to prepare subsequent concrete specimens, such as cement, fine aggregate, coarse aggregate, and basalt fibers. The purpose of this invention is to improve the accuracy and efficiency of basalt fiber parameter optimization and the overall performance of concrete.

[0079] For example, Zhang is a worker at a construction company. In order to improve the accuracy, efficiency and overall performance of basalt fiber parameters and concrete, Zhang issued a fiber parameter optimization instruction and confirmed the fiber parameter optimization environment.

[0080] S2. Obtain the horizontal gradient set, which includes the water-cement ratio horizontal gradient set, the fiber content horizontal gradient set, and the fiber length horizontal gradient set. Based on the pre-experimental unit, conduct single-factor tests on the horizontal gradient set and concrete raw materials to obtain the test index set.

[0081] Furthermore, based on the pre-experimental unit, single-factor experiments are conducted on the horizontal gradient set and concrete raw materials to obtain a set of test indicators, including:

[0082] Obtain a fixed water-cement ratio, a fixed fiber content, and a fixed fiber length;

[0083] Based on the water-cement ratio gradient set, fixed fiber content, fixed fiber length, and concrete raw materials, multiple concrete specimens are prepared to obtain multiple concrete specimens. The water-cement ratio gradient set includes multiple increasing water-cement ratios. The multiple concrete specimens are measured based on the pre-experiment unit to obtain a first test subset. The first test subset includes a first slump set and a first compressive strength set.

[0084] A second test subset is obtained based on the fiber content level gradient set, a fixed water-cement ratio, and a fixed fiber length. The second test subset includes a second slump set and a second compressive strength set.

[0085] A third test subset is obtained based on the fiber length horizontal gradient set, a fixed water-cement ratio, and a fixed fiber content. The third test subset includes a third slump set and a third compressive strength set.

[0086] The test metric set is obtained by summing the first test subset, the second test subset, and the third test subset.

[0087] It should be understood that the horizontal gradient set refers to the set of water-cement ratio horizontal gradient sets, fiber content horizontal gradient sets, and fiber length horizontal gradient sets. The water-cement ratio horizontal gradient set, fiber content horizontal gradient set, and fiber length horizontal gradient set refer to multiple increasing water-cement ratio values, multiple increasing fiber content values, and multiple increasing fiber lengths proposed during single-factor experiments, respectively. For example, the water-cement ratio horizontal gradient set is: [0.30, 0.35, 0.40, 0.43, 0.45, 0.50]. The water-cement ratio, fiber content, and fiber length refer to the ratio of water to cement mass in a unit volume of concrete, the percentage of basalt fiber volume in the total concrete volume, and the physical length of a single basalt fiber, respectively. The fixed water-cement ratio, fixed fiber content, and fixed fiber length refer to the water-cement ratio, fiber content, and fiber length as fixed factors in the single-factor experiment, respectively. For example, a fixed water-cement ratio of 0.40, a fixed fiber content of 0.20%, and a fixed fiber length of 12 mm. The method for preparing specimens based on the water-cement ratio gradient set, fixed fiber content, fixed fiber length, and concrete raw materials refers to preparing multiple different concrete specimens using the fixed fiber content and fixed fiber length as fixed quantities, the water-cement ratio gradient set as variables, and concrete raw materials as raw materials. The concrete specimens refer to concrete samples with specific shapes and sizes prepared according to the above method, such as 100 mm × 100 mm × 400 mm prism specimens. The method for measuring the multiple concrete specimens based on the pre-experimental unit refers to measuring them according to the "Test Procedure for Hydraulic Concrete" (SL / T). The slump and compressive strength are measured according to the regulations and procedures of SL / T 352-2020. In this invention, the specific methods for preparing relevant specimens and the measurement methods for relevant indicators (such as slump, compressive strength, splitting tensile strength, flexural strength, time to first cracking, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact abrasion resistance) all follow the content of the "Test Procedure for Hydraulic Concrete" (SL / T 352-2020), which will not be repeated here or explained further. The first test subset refers to the set of the first slump set and the first compressive strength set, and the first slump set and the first compressive strength set refer to the slump and compressive strength of multiple concrete specimens measured under the above conditions, respectively. The slump and compressive strength refer to the indicators that quantify the fluidity of concrete mixtures and the mechanical performance indicators that characterize the ability of concrete to withstand compressive loads, respectively.The method for obtaining the second test subset based on the fiber content horizontal gradient set, fixed water-cement ratio, and fixed fiber length is similar to the method for obtaining the first test subset described above, and will not be elaborated here. The second test subset refers to the set of the second slump set and the second compressive strength set. The method for obtaining the third test subset based on the fiber length horizontal gradient set, fixed water-cement ratio, and fixed fiber content is similar to the method for obtaining the first test subset, and will not be elaborated here. The second slump set, the second compressive strength set, the third slump set, and the third compressive strength set refer to the sets of slump and compressive strength measured in the corresponding experiments, respectively. The test index set refers to the set of the first test subset, the second test subset, and the third test subset.

[0088] S3. Obtain the constraint index set, and filter the test index set based on the constraint index set to obtain the water-binder ratio range, fiber content range and fiber length range. Based on the orthogonal experimental unit, water-binder ratio range, fiber content range and fiber length range, conduct experimental planning to obtain multiple sets of experimental schemes.

[0089] It should be explained that the acquisition of the constraint index set, and the screening of the test index set based on the constraint index set to obtain the water-cement ratio range, fiber content range, and fiber length range, includes:

[0090] A set of constraint indicators is obtained based on a pre-built parameter database, wherein the set of constraint indicators includes slump constraint threshold and compressive strength constraint threshold.

[0091] The slump constraint threshold, the compressive strength constraint threshold, the first slump set, and the first compressive strength set are compared, wherein the first slump set includes multiple slumps, the first compressive strength set includes multiple compressive strengths, and the multiple slumps correspond one-to-one with the multiple compressive strengths.

[0092] If the slump is greater than or equal to the slump constraint threshold and the compressive strength corresponding to the slump is greater than or equal to the compressive strength constraint threshold, then the water-cement ratio corresponding to the slump and compressive strength is identified as a suitable water-cement ratio, and a water-cement ratio range is obtained based on the suitable water-cement ratio.

[0093] The fiber content range is obtained based on the slump constraint threshold, the compressive strength constraint threshold, the second slump set, and the second compressive strength set;

[0094] The fiber length range is obtained based on the slump constraint threshold, the compressive strength constraint threshold, the third slump set, and the third compressive strength set.

[0095] Furthermore, the method for obtaining the constraint index set based on the pre-built parameter database refers to using the type of concrete to be manufactured (such as "C40 lock corridor flow surface concrete") as a query condition, and querying the slump and compressive strength constraint values ​​of this type of concrete in the parameter database. The pre-built parameter database refers to recording the minimum performance constraints corresponding to different types of concrete specified in the "Test Procedure for Hydraulic Concrete" (SL / T 352-2020) standard, for example, the compressive strength of lock corridor concrete ≥40MPa. The constraint index set refers to the set of slump constraint thresholds and compressive strength constraint thresholds, used to screen reasonable parameter ranges. The slump constraint threshold and compressive strength constraint threshold refer to the lower limit of slump (such as 50mm) and the lower limit of compressive strength (such as 30MPa), respectively, to ensure that the workability and strength of the concrete meet the engineering requirements. The method of comparing the slump constraint threshold, the compressive strength constraint threshold, the first slump set, and the first compressive strength set refers to iterating through each slump and corresponding compressive strength in the first slump set and comparing them numerically with the threshold. The first slump set and the first compressive strength set refer to the sets of slump and compressive strength measured in the water-cement ratio variable experiment. The method of confirming the water-cement ratio corresponding to the slump and compressive strength as a suitable water-cement ratio if the slump is greater than or equal to the slump constraint threshold and the compressive strength corresponding to the slump is greater than or equal to the compressive strength constraint threshold refers to screening out water-cement ratios where the slump is greater than or equal to the slump constraint threshold and the compressive strength corresponding to the slump is greater than or equal to the compressive strength constraint threshold. The suitable water-cement ratio refers to a water-cement ratio where the slump and compressive strength are greater than or equal to the slump constraint threshold and the compressive strength constraint threshold, respectively. The method for obtaining the water-cement ratio range based on the suitable water-cement ratio refers to using the minimum and maximum values ​​of the suitable water-cement ratio as the upper and lower limits, respectively, to construct the water-cement ratio range. The water-cement ratio range refers to the interval of water-cement ratios that meet the screening conditions, used for subsequent orthogonal experiments. The method for obtaining the fiber content range based on the slump constraint threshold, compressive strength constraint threshold, second slump set, and second compressive strength set is similar to the method for obtaining the water-cement ratio range described above, and will not be elaborated here. The fiber content range refers to the interval of fiber content after screening. The method for obtaining the fiber length range based on the slump constraint threshold, compressive strength constraint threshold, third slump set, and third compressive strength set is similar to the method for obtaining the water-cement ratio range described above, and will not be elaborated here. The fiber length range refers to the interval of fiber length after screening.

[0096] It should be understood that the experimental planning based on the orthogonal experimental unit, water-to-binder ratio range, fiber content range, and fiber length range yields multiple experimental schemes, including:

[0097] Based on the orthogonal experimental unit, the ranges of water-binder ratio, fiber content, and fiber length are selected to obtain the water-binder ratio sequence, fiber content sequence, and fiber length sequence, wherein the water-binder ratio sequence, fiber content sequence, and fiber length sequence each contain 4 water-binder ratios, 4 fiber contents, and 4 fiber lengths.

[0098] The water-binder ratio, fiber content, and fiber length are used as the three factors in the orthogonal experiment. The four water-binder ratios, four fiber contents, and four fiber lengths in the water-binder ratio sequence, fiber content sequence, and fiber length sequence are combined and mapped according to a preset three-factor four-level orthogonal table to obtain multiple experimental schemes. Each of the multiple experimental schemes corresponds to a combination of water-binder ratio, fiber content, and fiber length.

[0099] It should be explained that the method for selecting the water-cement ratio range, fiber content range, and fiber length range refers to uniformly selecting four representative values ​​as a sequence within each range. The water-cement ratio sequence, fiber content sequence, and fiber length sequence refer to four incrementally increasing values ​​selected from their respective ranges. The orthogonal experimental unit refers to the functional module for planning orthogonal experiments; optionally, the orthogonal experimental unit can be constructed using DOE technology. The method of using the water-cement ratio, fiber content, and fiber length as the three factors in an orthogonal experiment refers to defining the water-cement ratio, fiber content, and fiber length as experimental variables, with each factor having four levels. The preset three-factor, four-level orthogonal array refers to the standard L... 16 (4 3 Orthogonal array. The method of combining and mapping according to a preset three-factor, four-level orthogonal array refers to allocating factor levels according to the orthogonal array columns to generate 16 schemes. The multiple experimental schemes refer to 16 different parameter combinations. For example, the water-gel ratio range is 0.35-0.45, and the water-gel ratio sequence is selected as [0.35, 0.4, 0.45, 0.5]; the fiber content range is 0.1%-0.4%, and the sequence is [0.1%, 0.2%, 0.3%, 0.4%]; the fiber length range is 6-15mm, and the sequence is [6mm, 9mm, 12mm, 15mm]; according to L... 16 (4 3 The table mapping yielded 16 schemes, with the first scheme being: (0.35, 0.1%, 6mm).

[0100] S4. Based on the multiple experimental schemes, tests are conducted to obtain the compressive strength set, splitting tensile strength set, and flexural strength set. Based on the performance evaluation unit, the compressive strength set, the splitting tensile strength set, and the flexural strength set, a comprehensive performance score set is calculated.

[0101] Furthermore, the tests conducted based on the multiple experimental schemes yielded a set of compressive strength, a set of splitting tensile strength, and a set of flexural strength, including:

[0102] Based on the aforementioned multiple experimental schemes, concrete raw materials were used to prepare specimens, resulting in multiple sets of initial experimental specimens.

[0103] The multiple sets of initial experimental specimens were maintained at a preset age to obtain multiple sets of experimental specimens;

[0104] The compressive strength, splitting tensile strength and flexural strength of the multiple sets of experimental specimens were tested respectively to obtain the compressive strength set, splitting tensile strength set and flexural strength set.

[0105] It should be understood that the method for preparing concrete specimens based on the multiple experimental schemes refers to selecting corresponding concrete raw materials (including cement, fine aggregate, coarse aggregate, water, and basalt fiber) according to the water-cement ratio, fiber content, and fiber length parameters specified in each experimental scheme, and preparing corresponding concrete specimens. The multiple initial experimental specimens refer to the uncured concrete samples corresponding to the multiple experimental schemes. The method for curing the multiple initial experimental specimens based on a preset age refers to curing the initial experimental specimens under standard curing conditions (such as a curing room with a temperature of 20±2°C and a relative humidity of ≥95%) until the preset age is reached. The preset age refers to the standard time for concrete strength development, such as 28 days in the "Test Procedure for Hydraulic Concrete". The multiple experimental specimens refer to the cured concrete samples. The method for testing the compressive strength, splitting tensile strength, and flexural strength of the multiple sets of experimental specimens refers to testing the compressive strength, splitting tensile strength, and flexural strength of each set of specimens using equipment such as a universal testing machine in accordance with the "Test Procedure for Hydraulic Concrete" (SL / T 352-2020). The compressive strength set, splitting tensile strength set, and flexural strength set refer to the collections of compressive strength, splitting tensile strength, and flexural strength corresponding to multiple experimental schemes, respectively. The compressive strength refers to the ultimate ability of the specimen to withstand axial pressure, the splitting tensile strength refers to the tensile strength of the specimen under combined tensile and compressive stress, and the flexural strength refers to the ultimate ability of the specimen to withstand bending load.

[0106] It should be explained that the calculation of the comprehensive performance score set based on the performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set includes:

[0107] Based on the performance evaluation unit, extreme value queries are performed on the compressive strength set, splitting tensile strength set, and flexural strength set respectively to obtain the maximum compressive strength, minimum compressive strength, maximum splitting tensile strength, minimum splitting tensile strength, maximum flexural strength, and minimum flexural strength.

[0108] The comprehensive performance score is calculated based on the set of compressive strength, splitting tensile strength, flexural strength, maximum compressive strength, minimum compressive strength, maximum splitting tensile strength, minimum splitting tensile strength, maximum flexural strength, and minimum flexural strength. The calculation formula is as follows:

[0109]

[0110] in, This indicates the overall performance score. This represents the i-th compressive strength concentration. This represents the minimum compressive strength. This indicates the maximum compressive strength. This represents the i-th splitting tensile strength in the splitting tensile strength concentration. This represents the minimum splitting tensile strength. This represents the maximum splitting tensile strength. This represents the i-th flexural strength concentration. This represents the minimum flexural strength. Indicates the maximum flexural strength;

[0111] The overall performance scores are summarized to obtain an overall performance score set.

[0112] Furthermore, the method of performing extreme value lookup based on the performance evaluation unit for the compressive strength set, splitting tensile strength set, and flexural strength set respectively refers to using the performance evaluation unit to traverse the compressive strength set to find the maximum and minimum values, and similarly processing the splitting tensile strength set and flexural strength set. The maximum and minimum values ​​of compressive strength, splitting tensile strength, splitting tensile strength, flexural strength, and flexural strength refer to the extreme values ​​in the corresponding sets, used for normalization calculation. The performance evaluation unit refers to the module responsible for performance calculation and evaluation in the fiber parameter optimization system. Optionally, the performance evaluation unit can be constructed using statistical software. The method for calculating the comprehensive performance score based on the sets of compressive strength, splitting tensile strength, flexural strength, maximum compressive strength, minimum compressive strength, maximum splitting tensile strength, minimum splitting tensile strength, maximum flexural strength, and minimum flexural strength involves normalizing the compressive strength, splitting tensile strength, and flexural strength of each experimental scheme, and then performing a weighted summation (with weights of 0.5, 0.25, and 0.25, respectively) to obtain the comprehensive performance score. The comprehensive performance score is a dimensionless score that quantifies the mechanical performance of the experimental scheme. Since compressive strength, splitting tensile strength, and flexural strength are all indicators characterizing mechanical performance and are positively correlated with it, a higher comprehensive performance score indicates better performance. The comprehensive performance score set refers to the collection of comprehensive performance scores corresponding to multiple experimental schemes.

[0113] S5. Obtain the benchmark experimental group. Based on the comprehensive performance score set, compressive strength set, splitting tensile strength set, and flexural strength set, select representative schemes to obtain three representative experimental groups. Based on the performance evaluation unit, conduct group experiments on the benchmark experimental group and the three representative experimental groups to obtain the group experimental parameter set. Calculate the durability index set based on the group experimental parameter set.

[0114] It should be understood that the acquisition of the benchmark experimental group involves selecting representative schemes based on the comprehensive performance score set, compressive strength set, splitting tensile strength set, and flexural strength set, resulting in three representative experimental groups, including:

[0115] The optimal water-cement ratio is obtained based on the comprehensive performance score set, and a benchmark experimental group is obtained based on the optimal water-cement ratio and the preset fiber-free environment.

[0116] The highest compressive strength is obtained based on the set of compressive strengths, and the experimental scheme corresponding to the highest compressive strength is identified as the first experimental group.

[0117] Range analysis was performed on the set of compressive strength, splitting tensile strength and flexural strength to obtain the theoretically optimal combination, which was then used as the second experimental group.

[0118] Based on the comprehensive performance score set, the experimental scheme with the highest comprehensive performance score was identified, and the experimental scheme with the highest comprehensive performance score was determined as the third experimental group;

[0119] The first, second, and third experimental groups were combined to obtain three representative experimental groups.

[0120] It should be explained that the method of obtaining the optimal water-cement ratio based on the comprehensive performance score set refers to traversing the comprehensive performance score set, finding the experimental scheme corresponding to the highest score, and extracting its water-cement ratio as the optimal water-cement ratio. The optimal water-cement ratio refers to the water-cement ratio value with the best mechanical properties. The method of obtaining the benchmark experimental group based on the optimal water-cement ratio and the preset fiber-free environment refers to setting the fiber content to 0% and the fiber length to 0mm (i.e., no fiber addition) as the basis to form the benchmark experimental group. The benchmark experimental group refers to the control group without fiber, used to compare the fiber reinforcement effect. The preset fiber-free environment refers to an environment with zero fiber parameters. The method of obtaining the highest compressive strength based on the compressive strength set and confirming the experimental scheme corresponding to the highest compressive strength as the first experimental group refers to finding the maximum value in the compressive strength set and mapping it back to the corresponding scheme as the first experimental group. The first experimental group refers to the representative scheme with the best compressive performance. The compressive strength is selected as the screening condition for the first experimental group because compressive strength is the most basic and critical mechanical performance indicator of concrete (the weight of compressive strength in the above calculation formula is 0.5). The method of obtaining the theoretical optimal combination by performing range analysis on the compressive strength set, splitting tensile strength set, and flexural strength set refers to calculating the average influence of each factor level on each strength, selecting the optimal combination of levels for each strength index as the theoretical optimal combination. The range analysis refers to the range analysis method in orthogonal experiments, used to identify the dominant factor. The theoretical optimal combination refers to the ideal parameter set derived based on range analysis. The second experimental group refers to the scheme corresponding to the theoretical optimal combination. For example, four levels each for the three factors of water-cement ratio, fiber content, and fiber length (e.g., four levels of water-cement ratio: 0.35, 0.4, 0.43, 0.44). Based on the compressive strength set, splitting tensile strength set, and flexural strength set obtained from the experiment, the corresponding values ​​for all experimental groups at the same level for each factor are first calculated. The average value (K value) of the strength indicators (compressive strength, splitting tensile strength, and flexural strength) is used to compare the K values ​​of different levels of the same factor to determine the optimal level that makes each strength indicator perform best. For example, if the calculated average strength is highest when the water-cement ratio is 0.35, the highest when the fiber content is 0.2%, and the highest when the fiber length is 12mm, then the combination of these optimal levels is determined as the theoretical optimal parameter combination. Then, a specific test scheme that completely conforms to the parameter combination is found in multiple test schemes and established as the second test group. If there is no specific test scheme for the parameter combination in multiple test schemes, a new test scheme that conforms to the parameter combination is established and established as the second test group. At the same time, its various indicators (compressive strength, splitting tensile strength, flexural strength, and candidate comprehensive performance score) are measured.The method of identifying the experimental scheme with the highest comprehensive performance score based on the comprehensive performance score set and determining the experimental scheme with the highest comprehensive performance score as the third experimental group refers to selecting the scheme corresponding to the largest comprehensive performance score in the candidate comprehensive performance score set as the third experimental group. The third experimental group refers to the representative scheme with the best overall performance. The three representative experimental groups refer to the set of the first, second, and third experimental groups, which are used for durability verification.

[0121] Furthermore, the step of conducting grouped experiments on the benchmark experimental group and three representative experimental groups based on the performance evaluation unit to obtain a set of grouped experimental parameters, and calculating a set of durability indices based on the set of grouped experimental parameters, includes:

[0122] Based on the performance evaluation unit, the benchmark experimental group, the first experimental group, the second experimental group and the third experimental group were subjected to ring-constrained cracking test, impermeability test, freeze-thaw cycle test and impact abrasion test respectively, and the first cracking time set, the maximum crack width set, the relative permeability coefficient set, the relative dynamic elastic modulus set and the impact abrasion strength set were obtained.

[0123] By summarizing the sets of first cracking time, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact abrasion resistance, a set of grouped experimental parameters is obtained.

[0124] Multiple durability indices are calculated based on the grouped experimental parameter set;

[0125] By summing up the multiple durability indices, a set of durability indices is obtained.

[0126] It should be understood that the method of conducting the ring-constrained cracking test, impermeability test, freeze-thaw cycle test, and impact abrasion test on the benchmark experimental group, the first experimental group, the second experimental group, and the third experimental group under the control of the performance evaluation unit refers to preparing concrete specimens of the corresponding groups according to the "Test Procedure for Hydraulic Concrete" (SL / T 352-2020) and conducting corresponding tests on the corresponding concrete specimens. The ring-constrained cracking test, impermeability test, freeze-thaw cycle test, and impact abrasion test are all well-known knowledge and will not be elaborated here. The sets of initial cracking time, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact abrasion resistance strength refer to the collections of initial cracking time, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact abrasion resistance strength measured in each group of tests. The initial cracking time refers to the time elapsed from the start of the test to the appearance of the first macroscopic crack on the surface of the concrete specimen in a circular ring-constrained cracking test. The maximum crack width refers to the maximum width among all cracks on the surface of the concrete specimen after cracking has occurred. The relative permeability coefficient is a quantitative indicator characterizing the concrete's resistance to pressurized water penetration. The relative dynamic elastic modulus refers to the percentage of dynamic elastic modulus retained in the specimen during a freeze-thaw cycle test, and is an indicator characterizing the freeze-thaw resistance grade of the concrete specimen. The impact abrasion resistance strength is an indicator characterizing the concrete's resistance to abrasion damage caused by high-speed water flow carrying sand and gravel. For specific definitions of the initial cracking time, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact abrasion resistance strength, please refer to the corresponding experiments. The set of grouped experimental parameters refers to the collection of initial cracking time, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact abrasion resistance. The method for calculating multiple durability indices based on this set of grouped experimental parameters involves finding the maximum and minimum values ​​in the corresponding sets for initial cracking time, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact resistance, then normalizing and weighted summing to obtain the durability indices. The specific calculation method is similar to the method for calculating the comprehensive performance score described above, and will not be elaborated here. The multiple durability indices refer to composite indicators for quantitatively evaluating the comprehensive durability performance of basalt fiber reinforced concrete. The set of durability indices refers to the collection of multiple durability indices.

[0127] S6. Obtain the maximum durability index based on the durability index set, and obtain the optimal mix proportion scheme based on the maximum durability index. Based on the optimal mix proportion scheme, the basalt fiber parameters of concrete raw materials are optimized.

[0128] It should be explained that the method of obtaining the optimal ratio based on the maximum durability index includes:

[0129] The experimental group corresponding to the maximum durability index is identified as the candidate experimental group. If the candidate experimental group is the second experimental group among the three representative experimental groups, then the candidate experimental group is identified as the optimal experimental group, and the optimal ratio scheme is obtained based on the optimal experimental group.

[0130] If the experimental group corresponding to the maximum durability index is not the second experimental group among the three representative experimental groups, then a candidate durability index and a candidate comprehensive performance score are obtained based on the candidate experimental group, the durability index set, and the comprehensive performance score set, and a second durability index and a second comprehensive performance score are obtained based on the second experimental group, the durability index set, and the comprehensive performance score set.

[0131] Based on the candidate durability index and candidate comprehensive performance score, the candidate optimization decision value is calculated using the following formula:

[0132]

[0133] in, Optimize decision values ​​for candidates. This indicates the candidate's overall performance score. This indicates the maximum overall performance score. Indicates the candidate durability index, Indicates the maximum durability index. This indicates the acceptable threshold for the durability index. Indicates an indicator function, when If ≥ 0, then it is 1; otherwise, it is 0. and Indicates the weighting coefficient;

[0134] The second optimization decision value is calculated based on the second durability index and the second comprehensive performance score. The candidate optimization decision value and the second optimization decision value are compared. If the candidate optimization decision value is greater than the second optimization decision value, the candidate experimental group is confirmed as the optimal experimental group, and the optimal ratio scheme is obtained based on the optimal experimental group.

[0135] If the candidate optimization decision value is less than the second optimization decision value, then the second experimental group will be identified as the optimal experimental group, and the optimal ratio scheme will be obtained based on the optimal experimental group.

[0136] Furthermore, the method of identifying the experimental group corresponding to the maximum durability index as a candidate experimental group refers to finding the maximum value in the durability index set and mapping it back to the corresponding experimental group as a candidate experimental group. The maximum durability index refers to the highest value in the durability index set, and the candidate experimental group refers to the experimental group with the best durability, used for subsequent decision-making. If the candidate experimental group is the second experimental group among the three representative experimental groups, the method of identifying the candidate experimental group as the optimal experimental group refers to directly adopting it as the optimal group when the candidate experimental group and the second experimental group (theoretically optimal combination) are the same experimental group. The optimal experimental group refers to the finally selected parameter combination group. The method of obtaining the optimal formulation scheme based on the optimal experimental group refers to extracting the water-cement ratio, fiber content, and fiber length from the optimal experimental group as the optimal formulation scheme. This optimal formulation scheme refers to the optimized basalt fiber parameter combination for practical application. If the experimental group corresponding to the maximum durability index is not the second experimental group among the three representative experimental groups, then the method for obtaining the candidate durability index and candidate comprehensive performance score based on the candidate experimental group, durability index set, and comprehensive performance score set refers to extracting the index and score corresponding to the candidate group from the durability index set and comprehensive performance score set. The candidate durability index and candidate comprehensive performance score refer to the durability and mechanical performance indicators of the candidate group, respectively. The method for obtaining the second durability index and second comprehensive performance score based on the second experimental group, durability index set, and comprehensive performance score set is to extract the durability index and comprehensive performance score corresponding to the second experimental group. The second durability index and second comprehensive performance score refer to the durability index and comprehensive performance score corresponding to the second experimental group, respectively. The candidate optimization decision value refers to the decision score of comprehensive durability and mechanical performance, used to check whether the durability is qualified. The durability index qualification threshold refers to the preset lower limit of durability. The weight coefficient refers to the parameter for adjusting the durability and mechanical weights, with a default value of 0.5, which can be adjusted according to the application scenario. In the formula, the candidate comprehensive performance score and The larger the candidate durability index, the larger the candidate optimization decision value. Therefore, a larger optimization decision value indicates a better representative experimental group. The maximum comprehensive performance score and the maximum durability index are the maximum values ​​of the comprehensive performance score set and the durability index set, respectively, used for normalization. The method for calculating the second optimization decision value based on the second durability index and the second comprehensive performance score is similar to the method for calculating the candidate optimization decision value, and will not be elaborated here. The second optimization decision value refers to the decision score of the second group. The method of comparing the candidate optimization decision value and the second optimization decision value, and confirming the candidate experimental group as the optimal experimental group if the candidate optimization decision value is greater than the second optimization decision value, refers to selecting the group with the higher decision value as the optimal group.

[0137] To address the problems described in the background art, this invention confirms the receipt of fiber parameter optimization instructions and, based on these instructions, confirms the fiber parameter optimization environment. This environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system comprises a pre-experiment unit, an orthogonal experimental unit, and a performance evaluation unit. Therefore, this invention considers the complexity of concrete raw materials and environmental factors during the basalt fiber parameter optimization process. By confirming the optimization environment, modular collaboration of the system is ensured, providing a reliable foundation for subsequent experimental design, thereby improving the overall systematicity and adaptability of parameter optimization. A horizontal gradient set is obtained, including a water-cement ratio horizontal gradient set and fiber admixture... The invention introduces a horizontal gradient set and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor experiments are conducted on the horizontal gradient sets and concrete raw materials to obtain a set of test indicators. This demonstrates that the invention introduces a horizontal gradient set and a single-factor experimental mechanism to achieve preliminary screening of key variables, avoiding the inefficiency of traditional blind experiments, and thus laying a data-driven foundation for orthogonal experiments. A constraint index set is then obtained, and the test indicator set is screened based on this constraint index set to obtain the water-cement ratio range, fiber content range, and fiber length range. Experimental planning is then conducted based on the orthogonal experimental unit, the water-cement ratio range, the fiber content range, and the fiber length range to obtain multiple experimental schemes. This demonstrates that the invention optimizes the variable range through constraint screening and adopts... Orthogonal programming reduces the number of test groups, thereby improving experimental efficiency and resource utilization. Based on the multiple experimental schemes, tests are conducted to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set is calculated based on the performance evaluation unit, the compressive strength set, the splitting tensile strength set, and the flexural strength set. It is evident that this embodiment of the invention combines multiple strength indicators to calculate the comprehensive score, achieving quantitative evaluation of performance and avoiding the bias of a single indicator, thereby improving the comprehensiveness and objectivity of the optimization results. A benchmark experimental group is obtained. Representative schemes are screened based on the comprehensive performance score set, the compressive strength set, the splitting tensile strength set, and the flexural strength set to obtain three representative experimental groups. The performance evaluation unit is used to evaluate the benchmark experimental group and... Three representative experimental groups were conducted to obtain a set of grouped experimental parameters. Based on the set of grouped experimental parameters, a set of durability indices was calculated. It can be seen that the present invention introduces a benchmark group and a grouped experimental mechanism to further verify the durability of the representative scheme, thereby ensuring the long-term reliability and applicability of the optimal scheme. The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the parameters of basalt fiber in concrete raw materials are optimized. It can be seen that the present invention forms a closed-loop optimization process by maximizing the index, and improves the practical value of the scheme by combining durability assessment. Therefore, the present invention can improve the accuracy, efficiency and comprehensive performance of concrete by optimizing basalt fiber parameters.

[0138] like Figure 2 The diagram shown is a functional block diagram of a basalt fiber parameter optimization system based on orthogonal experiments provided in an embodiment of the present invention.

[0139] The basalt fiber parameter optimization system 100 based on orthogonal experiments described in this invention can be installed in an electronic device. Depending on the functions implemented, the basalt fiber parameter optimization system 100 may include an environmental verification module 101, a single-factor experiment module 102, an orthogonal experiment module 103, and a comprehensive scoring module 104. The modules described in this invention can also be referred to as units, which are a series of computer program segments that can be executed by the processor of an electronic device and perform a fixed function, and are stored in the memory of the electronic device.

[0140] The environment confirmation module 101 is used to confirm the receipt of fiber parameter optimization instructions and confirm the fiber parameter optimization environment based on the fiber parameter optimization instructions. The fiber parameter optimization environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system includes a pre-experiment unit, an orthogonal test unit, and a performance evaluation unit.

[0141] The single-factor experimental module 102 is used to obtain a horizontal gradient set, which includes a water-cement ratio horizontal gradient set, a fiber content horizontal gradient set, and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor experiments are conducted on the horizontal gradient set and concrete raw materials to obtain a set of test indicators.

[0142] The orthogonal experimental module 103 is used to obtain a set of constraint indicators, filter the set of test indicators based on the set of constraint indicators to obtain the range of water-binder ratio, fiber content range and fiber length range, and plan experiments based on the orthogonal experimental unit, the range of water-binder ratio, the range of fiber content and the range of fiber length to obtain multiple sets of experimental schemes.

[0143] Tests were conducted based on the aforementioned multiple experimental schemes to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set was then calculated based on the aforementioned performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set.

[0144] The comprehensive scoring module 104 is used to obtain the benchmark experimental group, screen representative schemes based on the comprehensive performance scoring set, compressive strength set, splitting tensile strength set and flexural strength set to obtain three representative experimental groups, conduct grouped experiments on the benchmark experimental group and the three representative experimental groups based on the performance evaluation unit to obtain the grouped experimental parameter set, and calculate the durability index set based on the grouped experimental parameter set.

[0145] The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the basalt fiber parameters of concrete raw materials are optimized.

[0146] In detail, the modules in the basalt fiber parameter optimization system 100 based on orthogonal experiments described in this embodiment of the invention employ the same methods as described above. Figure 1 The method used is the same as the orthogonal experiment-based basalt fiber parameter optimization method described in the article, and can produce the same technical effect, so it will not be repeated here.

[0147] like Figure 3 The diagram shown is a schematic representation of an electronic device for implementing a method for optimizing basalt fiber parameters based on orthogonal experiments, according to an embodiment of the present invention.

[0148] The electronic device 1 may include a processor 10, a memory 11 and a bus 12, and may also include a computer program stored in the memory 11 and executable on the processor 10, such as a basalt fiber parameter optimization method program based on orthogonal experiments.

[0149] The memory 11 includes at least one type of readable storage medium, such as flash memory, portable hard drive, multimedia card, card-type memory (e.g., SD or DX memory), magnetic memory, magnetic disk, optical disk, etc. In some embodiments, the memory 11 can be an internal storage unit of the electronic device 1, such as the portable hard drive of the electronic device 1. In other embodiments, the memory 11 can be an external storage device of the electronic device 1, such as a plug-in portable hard drive, smart media card (SMC), secure digital card (SD), flash card, etc., equipped on the electronic device 1. Furthermore, the memory 11 includes both internal storage units and external storage devices of the electronic device 1. The memory 11 can be used not only to store application software and various types of data installed on the electronic device 1, such as the code of a basalt fiber parameter optimization method program based on orthogonal experiments, but also to temporarily store data that has been output or will be output.

[0150] In some embodiments, the processor 10 may be composed of integrated circuits, such as a single packaged integrated circuit or multiple integrated circuits with the same or different functions, including combinations of one or more central processing units (CPUs), microprocessors, digital processing chips, graphics processors, and various control chips. The processor 10 is the control unit of the electronic device, connecting various components of the entire electronic device through various interfaces and lines. It executes programs or modules stored in the memory 11 (e.g., a basalt fiber parameter optimization method program based on orthogonal experiments) and calls data stored in the memory 11 to perform various functions of the electronic device 1 and process data.

[0151] The bus 12 can be a peripheral component interconnect (PCI) bus or an extended industry standard architecture (EISA) bus, etc. The bus 12 can be divided into an address bus, a data bus, a control bus, etc. The bus 12 is configured to realize the connection and communication between the memory 11 and at least one processor 10, etc.

[0152] Figure 3 Only electronic devices with components are shown; it will be understood by those skilled in the art that... Figure 3 The structure shown does not constitute a limitation on the electronic device 1, and may include fewer or more components than shown, or combine certain components, or have different component arrangements.

[0153] For example, although not shown, the electronic device 1 may also include a power supply (such as a battery) to power the various components. Preferably, the power supply can be logically connected to the at least one processor 10 through a power management device, thereby enabling functions such as charging management, discharging management, and power consumption management. The power supply may also include one or more DC or AC power supplies, recharging devices, power fault detection circuits, power converters or inverters, power status indicators, and other arbitrary components. The electronic device 1 may also include various sensors, Bluetooth modules, Wi-Fi modules, etc., which will not be described in detail here.

[0154] Furthermore, the electronic device 1 may also include a network interface. Optionally, the network interface may include a wired interface and / or a wireless interface (such as a Wi-Fi interface, a Bluetooth interface, etc.), which is typically used to establish communication connections between the electronic device 1 and other electronic devices.

[0155] Optionally, the electronic device 1 may further include a user interface, which may be a display, an input unit (such as a keyboard), and optionally, a standard wired interface or a wireless interface. Optionally, in some embodiments, the display may be an LED display, a liquid crystal display, a touch-sensitive liquid crystal display, or an OLED (Organic Light-Emitting Diode) touchscreen, etc. The display may also be appropriately referred to as a screen or display unit, used to display information processed in the electronic device 1 and to display a visual user interface.

[0156] The basalt fiber parameter optimization method program based on orthogonal experiments stored in the memory 11 of the electronic device 1 is a combination of multiple instructions. When run in the processor 10, it can achieve the following:

[0157] Confirm receipt of fiber parameter optimization instructions, and confirm the fiber parameter optimization environment based on the fiber parameter optimization instructions. The fiber parameter optimization environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system includes a pre-experiment unit, an orthogonal test unit, and a performance evaluation unit.

[0158] A horizontal gradient set is obtained, which includes a water-cement ratio horizontal gradient set, a fiber content horizontal gradient set, and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor tests are conducted on the horizontal gradient set and concrete raw materials to obtain a set of test indicators.

[0159] Obtain a set of constraint indicators, and filter the set of test indicators based on the set of constraint indicators to obtain the range of water-binder ratio, fiber content range and fiber length range. Based on the orthogonal experimental unit, the range of water-binder ratio, the range of fiber content and the range of fiber length, conduct experimental planning to obtain multiple sets of experimental schemes.

[0160] Tests were conducted based on the aforementioned multiple experimental schemes to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set was then calculated based on the aforementioned performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set.

[0161] A benchmark experimental group is obtained. Representative schemes are screened based on the comprehensive performance score set, compressive strength set, splitting tensile strength set, and flexural strength set to obtain three representative experimental groups. Group experiments are conducted on the benchmark experimental group and the three representative experimental groups based on the performance evaluation unit to obtain a group experimental parameter set. A durability index set is calculated based on the group experimental parameter set.

[0162] The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the basalt fiber parameters of concrete raw materials are optimized.

[0163] Specifically, the processor 10's implementation method for the above instructions can be found in [reference needed]. Figures 1 to 3 The descriptions of the relevant steps in the corresponding embodiments are not repeated here.

[0164] Furthermore, if the modules / units integrated in the electronic device 1 are implemented as software functional units and sold or used as independent products, they can be stored in a computer-readable storage medium. The computer-readable storage medium can be volatile or non-volatile. For example, the computer-readable medium may include: any entity or device capable of carrying the computer program code, a recording medium, a USB flash drive, a portable hard drive, a magnetic disk, an optical disk, a computer memory, or a read-only memory (ROM).

[0165] The present invention also provides a computer-readable storage medium storing a computer program, which, when executed by a processor of an electronic device, can perform the following:

[0166] Confirm receipt of fiber parameter optimization instructions, and confirm the fiber parameter optimization environment based on the fiber parameter optimization instructions. The fiber parameter optimization environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system includes a pre-experiment unit, an orthogonal test unit, and a performance evaluation unit.

[0167] A horizontal gradient set is obtained, which includes a water-cement ratio horizontal gradient set, a fiber content horizontal gradient set, and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor tests are conducted on the horizontal gradient set and concrete raw materials to obtain a set of test indicators.

[0168] Obtain a set of constraint indicators, and filter the set of test indicators based on the set of constraint indicators to obtain the range of water-binder ratio, fiber content range and fiber length range. Based on the orthogonal experimental unit, the range of water-binder ratio, the range of fiber content and the range of fiber length, conduct experimental planning to obtain multiple sets of experimental schemes.

[0169] Tests were conducted based on the aforementioned multiple experimental schemes to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set was then calculated based on the aforementioned performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set.

[0170] A benchmark experimental group is obtained. Representative schemes are screened based on the comprehensive performance score set, compressive strength set, splitting tensile strength set, and flexural strength set to obtain three representative experimental groups. Group experiments are conducted on the benchmark experimental group and the three representative experimental groups based on the performance evaluation unit to obtain a group experimental parameter set. A durability index set is calculated based on the group experimental parameter set.

[0171] The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the basalt fiber parameters of concrete raw materials are optimized.

[0172] In the embodiments provided by this invention, it should be understood that the disclosed devices, systems, and methods can be implemented in other ways. For example, the system embodiments described above are merely illustrative, and actual implementations may have other classification methods.

[0173] The modules described as separate components may or may not be physically separate. The components shown as modules may or may not be physical units; that is, they may be located in one place or distributed across multiple network units. Some or all of the modules can be selected to achieve the purpose of this embodiment according to actual needs.

[0174] Furthermore, the functional modules in the various embodiments of the present invention can be integrated into one processing unit, or each unit can exist physically separately, or two or more units can be integrated into one unit. The integrated unit can be implemented in hardware or in the form of hardware plus software functional modules.

[0175] It will be apparent to those skilled in the art that the present invention is not limited to the details of the exemplary embodiments described above, and that the present invention can be implemented in other specific forms without departing from the spirit or essential characteristics of the present invention.

[0176] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention and are not intended to limit it. Although the present invention has been described in detail with reference to preferred embodiments, those skilled in the art should understand that modifications or equivalent substitutions can be made to the technical solutions of the present invention without departing from the spirit and scope of the technical solutions of the present invention.

Claims

1. A method for optimizing basalt fiber parameters based on orthogonal experiments, characterized in that, The method includes: Confirm receipt of fiber parameter optimization instructions, and confirm the fiber parameter optimization environment based on the fiber parameter optimization instructions. The fiber parameter optimization environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system includes a pre-experiment unit, an orthogonal test unit, and a performance evaluation unit. A horizontal gradient set is obtained, which includes a water-cement ratio horizontal gradient set, a fiber content horizontal gradient set, and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor tests are conducted on the horizontal gradient set and concrete raw materials to obtain a set of test indicators. Obtain a set of constraint indicators, and filter the set of test indicators based on the set of constraint indicators to obtain the range of water-binder ratio, fiber content range and fiber length range. Based on the orthogonal experimental unit, the range of water-binder ratio, the range of fiber content and the range of fiber length, conduct experimental planning to obtain multiple sets of experimental schemes. Tests were conducted based on the aforementioned multiple experimental schemes to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set was then calculated based on the aforementioned performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set. A benchmark experimental group is obtained. Representative schemes are screened based on the comprehensive performance score set, compressive strength set, splitting tensile strength set, and flexural strength set to obtain three representative experimental groups. Group experiments are conducted on the benchmark experimental group and the three representative experimental groups based on the performance evaluation unit to obtain a group experimental parameter set. A durability index set is calculated based on the group experimental parameter set. The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the basalt fiber parameters of concrete raw materials are optimized.

2. The method for optimizing basalt fiber parameters based on orthogonal experiments as described in claim 1, characterized in that, The single-factor experiments conducted on the horizontal gradient set and concrete raw materials based on the pre-experimental unit yielded a set of test indicators, including: Obtain a fixed water-cement ratio, a fixed fiber content, and a fixed fiber length; Based on the water-cement ratio gradient set, fixed fiber content, fixed fiber length, and concrete raw materials, multiple concrete specimens are prepared to obtain multiple concrete specimens. The water-cement ratio gradient set includes multiple increasing water-cement ratios. The multiple concrete specimens are measured based on the pre-experiment unit to obtain a first test subset. The first test subset includes a first slump set and a first compressive strength set. A second test subset is obtained based on the fiber content level gradient set, a fixed water-cement ratio, and a fixed fiber length. The second test subset includes a second slump set and a second compressive strength set. A third test subset is obtained based on the fiber length horizontal gradient set, a fixed water-cement ratio, and a fixed fiber content. The third test subset includes a third slump set and a third compressive strength set. The test metric set is obtained by summing the first test subset, the second test subset, and the third test subset.

3. The method for optimizing basalt fiber parameters based on orthogonal experiments as described in claim 2, characterized in that, The process of obtaining a set of constraint indicators involves filtering the set of test indicators based on this set of constraint indicators to obtain the water-cement ratio range, fiber content range, and fiber length range, including: A set of constraint indicators is obtained based on a pre-built parameter database, wherein the set of constraint indicators includes slump constraint threshold and compressive strength constraint threshold. The slump constraint threshold, the compressive strength constraint threshold, the first slump set, and the first compressive strength set are compared, wherein the first slump set includes multiple slumps, the first compressive strength set includes multiple compressive strengths, and the multiple slumps correspond one-to-one with the multiple compressive strengths. If the slump is greater than or equal to the slump constraint threshold and the compressive strength corresponding to the slump is greater than or equal to the compressive strength constraint threshold, then the water-cement ratio corresponding to the slump and compressive strength is identified as a suitable water-cement ratio, and a water-cement ratio range is obtained based on the suitable water-cement ratio. The fiber content range is obtained based on the slump constraint threshold, the compressive strength constraint threshold, the second slump set, and the second compressive strength set; The fiber length range is obtained based on the slump constraint threshold, the compressive strength constraint threshold, the third slump set, and the third compressive strength set.

4. The method for optimizing basalt fiber parameters based on orthogonal experiments as described in claim 3, characterized in that, The experiment planning, based on the orthogonal experimental unit, water-to-binder ratio range, fiber content range, and fiber length range, yields multiple experimental schemes, including: Based on the orthogonal experimental unit, the ranges of water-binder ratio, fiber content, and fiber length are selected to obtain the water-binder ratio sequence, fiber content sequence, and fiber length sequence, wherein the water-binder ratio sequence, fiber content sequence, and fiber length sequence each contain 4 water-binder ratios, 4 fiber contents, and 4 fiber lengths. The water-binder ratio, fiber content, and fiber length are used as the three factors in the orthogonal experiment. The four water-binder ratios, four fiber contents, and four fiber lengths in the water-binder ratio sequence, fiber content sequence, and fiber length sequence are combined and mapped according to a preset three-factor four-level orthogonal table to obtain multiple experimental schemes. Each of the multiple experimental schemes corresponds to a combination of water-binder ratio, fiber content, and fiber length.

5. The method for optimizing basalt fiber parameters based on orthogonal experiments as described in claim 4, characterized in that, The tests conducted based on the aforementioned multiple experimental schemes yielded sets of compressive strength, splitting tensile strength, and flexural strength, including: Based on the aforementioned multiple experimental schemes, concrete raw materials were used to prepare specimens, resulting in multiple sets of initial experimental specimens. The multiple sets of initial experimental specimens were maintained at a preset age to obtain multiple sets of experimental specimens; The compressive strength, splitting tensile strength and flexural strength of the multiple sets of experimental specimens were tested respectively to obtain the compressive strength set, splitting tensile strength set and flexural strength set.

6. The method for optimizing basalt fiber parameters based on orthogonal experiments as described in claim 5, characterized in that, The calculation of the comprehensive performance score set based on the performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set includes: Based on the performance evaluation unit, extreme value queries are performed on the compressive strength set, splitting tensile strength set, and flexural strength set respectively to obtain the maximum compressive strength, minimum compressive strength, maximum splitting tensile strength, minimum splitting tensile strength, maximum flexural strength, and minimum flexural strength. The comprehensive performance score is calculated based on the set of compressive strength, splitting tensile strength, flexural strength, maximum compressive strength, minimum compressive strength, maximum splitting tensile strength, minimum splitting tensile strength, maximum flexural strength, and minimum flexural strength. The calculation formula is as follows: in, This indicates the overall performance score. This represents the i-th compressive strength concentration. This represents the minimum compressive strength. This indicates the maximum compressive strength. This represents the i-th splitting tensile strength in the splitting tensile strength concentration. This represents the minimum splitting tensile strength. This represents the maximum splitting tensile strength. This represents the i-th flexural strength concentration. This represents the minimum flexural strength. Indicates the maximum flexural strength; The overall performance scores are summarized to obtain an overall performance score set.

7. The method for optimizing basalt fiber parameters based on orthogonal experiments as described in claim 6, characterized in that, The acquisition of the benchmark experimental group involves selecting representative schemes based on the comprehensive performance score set, compressive strength set, splitting tensile strength set, and flexural strength set, resulting in three representative experimental groups, including: The optimal water-cement ratio is obtained based on the comprehensive performance score set, and a benchmark experimental group is obtained based on the optimal water-cement ratio and the preset fiber-free environment. The highest compressive strength is obtained based on the set of compressive strengths, and the experimental scheme corresponding to the highest compressive strength is identified as the first experimental group. Range analysis was performed on the set of compressive strength, splitting tensile strength and flexural strength to obtain the theoretically optimal combination, which was then used as the second experimental group. Based on the comprehensive performance score set, the experimental scheme with the highest comprehensive performance score was identified, and the experimental scheme with the highest comprehensive performance score was determined as the third experimental group; The first, second, and third experimental groups were combined to obtain three representative experimental groups.

8. The method for optimizing basalt fiber parameters based on orthogonal experiments as described in claim 7, characterized in that, The process involves conducting grouped experiments on the benchmark experimental group and three representative experimental groups based on the performance evaluation unit to obtain a set of grouped experimental parameters. Based on this set of grouped experimental parameters, a set of durability indices is calculated, including: Based on the performance evaluation unit, the benchmark experimental group, the first experimental group, the second experimental group and the third experimental group were subjected to ring-constrained cracking test, impermeability test, freeze-thaw cycle test and impact abrasion test respectively, and the first cracking time set, the maximum crack width set, the relative permeability coefficient set, the relative dynamic elastic modulus set and the impact abrasion strength set were obtained. By summarizing the sets of first cracking time, maximum crack width, relative permeability coefficient, relative dynamic elastic modulus, and impact abrasion resistance, a set of grouped experimental parameters is obtained. Multiple durability indices are calculated based on the grouped experimental parameter set; By summing up the multiple durability indices, a set of durability indices is obtained.

9. The method for optimizing basalt fiber parameters based on orthogonal experiments as described in claim 8, characterized in that, The method for obtaining the optimal ratio based on the maximum durability index includes: The experimental group corresponding to the maximum durability index is identified as the candidate experimental group. If the candidate experimental group is the second experimental group among the three representative experimental groups, then the candidate experimental group is identified as the optimal experimental group, and the optimal ratio scheme is obtained based on the optimal experimental group. If the experimental group corresponding to the maximum durability index is not the second experimental group among the three representative experimental groups, then a candidate durability index and a candidate comprehensive performance score are obtained based on the candidate experimental group, the durability index set, and the comprehensive performance score set, and a second durability index and a second comprehensive performance score are obtained based on the second experimental group, the durability index set, and the comprehensive performance score set. Based on the candidate durability index and candidate comprehensive performance score, the candidate optimization decision value is calculated using the following formula: in, Optimize decision values ​​for candidates. This indicates the candidate's overall performance score. This indicates the maximum overall performance score. Indicates the candidate durability index, Indicates the maximum durability index. This indicates the acceptable threshold for the durability index. Indicates an indicator function, when If ≥ 0, then it is 1; otherwise, it is 0. and Indicates the weighting coefficient; The second optimization decision value is calculated based on the second durability index and the second comprehensive performance score. The candidate optimization decision value and the second optimization decision value are compared. If the candidate optimization decision value is greater than the second optimization decision value, the candidate experimental group is confirmed as the optimal experimental group, and the optimal ratio scheme is obtained based on the optimal experimental group. If the candidate optimization decision value is less than the second optimization decision value, then the second experimental group will be identified as the optimal experimental group, and the optimal ratio scheme will be obtained based on the optimal experimental group.

10. A basalt fiber parameter optimization system based on orthogonal experiments, characterized in that, The device includes: The environment confirmation module is used to confirm the receipt of fiber parameter optimization instructions and confirm the fiber parameter optimization environment based on the fiber parameter optimization instructions. The fiber parameter optimization environment includes a fiber parameter optimization system and concrete raw materials. The fiber parameter optimization system includes a pre-experiment unit, an orthogonal test unit, and a performance evaluation unit. The single-factor experimental module is used to obtain a horizontal gradient set, which includes a water-cement ratio horizontal gradient set, a fiber content horizontal gradient set, and a fiber length horizontal gradient set. Based on the pre-experimental unit, single-factor experiments are conducted on the horizontal gradient set and concrete raw materials to obtain a set of test indicators. The orthogonal experimental module is used to obtain a set of constraint indicators, and to filter the test indicator set based on the set of constraint indicators to obtain the water-binder ratio range, fiber content range, and fiber length range. Based on the orthogonal experimental unit, the water-binder ratio range, the fiber content range, and the fiber length range, experimental planning is carried out to obtain multiple sets of experimental schemes. Tests were conducted based on the aforementioned multiple experimental schemes to obtain sets of compressive strength, splitting tensile strength, and flexural strength. A comprehensive performance score set was then calculated based on the aforementioned performance evaluation unit, compressive strength set, splitting tensile strength set, and flexural strength set. The comprehensive scoring module is used to obtain the benchmark experimental group, and to screen representative schemes based on the comprehensive performance scoring set, compressive strength set, splitting tensile strength set and flexural strength set to obtain three representative experimental groups. Based on the performance evaluation unit, the benchmark experimental group and the three representative experimental groups are subjected to grouped experiments to obtain a set of grouped experimental parameters. Based on the set of grouped experimental parameters, the durability index set is calculated. The maximum durability index is obtained based on the set of durability indices, and the optimal mix design is obtained based on the maximum durability index. Based on the optimal mix design, the basalt fiber parameters of concrete raw materials are optimized.

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