Box culvert performance optimization method and system based on concrete doping amount control

Abstract

The invention provides a box culvert performance optimization method and system based on concrete doping amount control, and relates to the technical field of doping material proportion optimization, and the method comprises the steps: analyzing the structural length characteristics of a long and large frame box culvert; according to the box culvert performance parameters, correlation analysis is conducted on concrete doping materials, and a performance-doping material correlation list is established; performing matching search according to a preset performance parameter target quantity to obtain a performance matching doping scheme; performing length temperature stress accumulation analysis, and performing crack prediction according to the temperature stress gradient to obtain temperature gradient crack distribution; and carrying out doping amount and pouring process dimension compensation optimization to obtain an optimized concrete doping amount for concrete doping and pouring control. The method solves the technical problems that in the prior art, the use of the concrete doping amount mainly depends on experience or general standards, personalized proportion design for the temperature stress characteristics of different areas of the long and large concrete frame box culvert is lacked, and the crack generation risk is increased.

Description

Technical Field

[0001] The present invention relates to the technical field of dopant ratio optimization, and in particular to a box culvert performance optimization method and system based on concrete doping amount control. Background Art

[0002] As a major building material, concrete is widely used in various infrastructure construction due to its excellent strength, durability and ease of construction. However, as the scale of structures continues to increase, especially for large-volume concrete structures such as long and large frame box culverts, traditional concrete pouring and construction processes face a series of technical difficulties, especially in terms of temperature stress and crack control.

[0003] During the construction of large-volume concrete, the heat released by the hydration reaction inside the concrete causes a significant increase in temperature. Due to the temperature difference between the interior and surface of the concrete, a temperature gradient is often generated. This temperature difference causes thermal expansion and contraction of the concrete, especially in longer structures, where the difference in temperature gradient is more obvious. Under such conditions, the accumulation of temperature stress can easily lead to the formation of through-hole cracks. This problem is particularly prominent in the construction of large-volume concrete such as long and large frame box culverts. Due to their long size, the concrete will shrink during the hardening process. The shrinkage of the concrete may not show obvious cracks in the early stage, but as time goes by, the shrinkage gradually accumulates, causing tensile stress in the concrete, and ultimately leading to the appearance of cracks. This shrinkage problem has not been effectively controlled in the traditional construction process. Summary of the Invention

[0004] This application provides a box culvert performance optimization method and system based on concrete doping control, aiming to solve the technical problem in the existing technology that the use of concrete doping amount mainly relies on experience or general standards, lacks personalized proportion design for the temperature stress characteristics of different areas of long and large concrete frame box culverts, and leads to an increased risk of cracks.

[0005] The first aspect disclosed in the present application provides a box culvert performance optimization method based on concrete doping control, the method comprising: analyzing the structural length characteristics of a long and large frame box culvert; performing a correlation analysis on concrete doping materials according to the box culvert performance parameters, and establishing a performance-doping material association list; performing a matching search on the performance-doping material association list according to the preset performance parameter target of the long and large frame box culvert, and obtaining a performance matching doping scheme; based on the performance matching doping scheme, performing a length temperature stress accumulation analysis according to the structural length characteristics, and performing crack prediction according to the temperature stress gradient to obtain a temperature gradient crack distribution; performing doping amount and casting process dimension compensation optimization on the performance matching doping scheme according to the temperature gradient crack distribution and the temperature stress gradient to obtain an optimized concrete doping amount, and the optimized concrete doping amount is used for concrete doping casting control.

[0006] The second aspect disclosed in the present application provides a box culvert performance optimization system based on concrete doping amount control, and the system is used for the above-mentioned box culvert performance optimization method based on concrete doping amount control, and the system includes: a length feature analysis module for analyzing the structural length characteristics of a long frame box culvert; a correlation analysis module for performing correlation analysis on concrete doping materials according to the box culvert performance parameters, and establishing a performance-doping material association list; a matching search module for performing a matching search on the performance-doping material association list according to the preset performance parameter target of the long frame box culvert, and obtaining a performance matching doping scheme; a crack prediction module for performing a length temperature stress accumulation analysis according to the structural length characteristics based on the performance matching doping scheme, and predicting cracks according to the temperature stress gradient, and obtaining a temperature gradient crack distribution; a pouring control module for performing compensation optimization of the doping amount and pouring process dimensions of the performance matching doping scheme according to the temperature gradient crack distribution and the temperature stress gradient, and obtaining an optimized concrete doping amount, and the optimized concrete doping amount is used for concrete doping pouring control.

[0007] One or more technical solutions provided in this application have at least the following beneficial effects: By analyzing the dimensions and structural characteristics of long and large frame box culverts, the stress distribution characteristics of concrete in different length regions were clarified. The structural length characteristics of long and large frame box culverts affect the temperature stress gradient of concrete, which provides a theoretical basis for subsequent temperature stress analysis and helps identify potential cracking areas caused by temperature gradients. By establishing a property-admixture association list and matching admixtures according to the performance objectives of the box culvert, the selection of admixtures ensures that the appropriate performance requirements are met. This process optimizes the performance of concrete, making it more durable and, in particular, reducing the risk of cracking caused by shrinkage and temperature changes. Through a temperature stress accumulation analysis based on the structural length characteristics, the distribution of temperature gradient cracks in long and large frame box culverts is accurately predicted. This prediction method can identify areas with high temperature stress, effectively avoid the occurrence of cracks, and provide data support for subsequent temperature control and process adjustments. Based on the analysis of temperature gradient crack distribution and temperature stress gradient, combined with the characteristics of the admixture, the concrete admixture content and pouring process are optimized. This optimization can accurately control the accumulation of hydration heat and temperature stress in concrete, avoid cracking caused by excessive temperature differences, and improve the crack resistance and long-term stability of concrete.

[0008] The above description is only an overview of the technical solution of the present application. In order to more clearly understand the technical means of the present application, it can be implemented in accordance with the contents of the specification. In order to make the above and other purposes, features and advantages of the present application more obvious and easy to understand, the specific implementation methods of the present application are listed below. BRIEF DESCRIPTION OF THE DRAWINGS

[0009] Figure 1 A schematic flow chart of a box culvert performance optimization method based on concrete doping control provided in an embodiment of the present application.

[0010] Figure 2 Schematic diagram of the structure of the box culvert performance optimization system based on concrete doping control provided in an embodiment of the present application.

[0011] Description of the accompanying drawings: length feature analysis module 10, correlation analysis module 20, matching search module 30, crack prediction module 40, pouring control module 50. DETAILED DESCRIPTION

[0012] The embodiments of the present application provide a box culvert performance optimization method and system based on concrete doping control, thereby solving the technical problem in the prior art that the use of concrete doping mainly relies on experience or general standards, lacks personalized proportion design for the temperature stress characteristics of different areas of long and large concrete frame box culverts, and leads to an increased risk of cracks.

[0013] After introducing the basic principles of this application, various non-limiting embodiments of this application will be specifically described below in conjunction with the accompanying drawings. It should be understood that the specific embodiments described herein are only used to explain this application and are not intended to limit this application.

[0014] Example 1, as Figure 1 As shown, the embodiment of the present application provides a box culvert performance optimization method based on concrete doping control, the method comprising: Analyze the structural length characteristics of long and large frame box culverts.

[0015] To determine the dimensional parameters of the box culvert, such as length, width, and height, including the overall length of the box culvert and the length of any special areas (such as bends or joints), data from measurements or design drawings must be used. The overall structural characteristics of the box culvert must be determined, including material types, such as concrete type and type of admixture, as well as the stress and load characteristics of different structural parts. These structural characteristics help determine the distribution of temperature stress and deformation.

[0016] Based on the box culvert's dimensions and structural characteristics, a structural mechanics model is used to conduct a mechanical response analysis. Finite element analysis and other methods can be used to simulate the box culvert's response under different load conditions. Based on the analysis results, the stress characteristics of each length distribution segment are obtained. Through mechanical response analysis, the stress and deformation of different length segments are determined. This information provides basic data for subsequent thermal stress accumulation analysis. The structural length characteristic refers to the relationship between the length of the long frame box culvert and the stress distribution. It provides a basis for subsequent crack prediction and doping optimization.

[0017] Conduct correlation analysis on concrete admixtures according to box culvert performance parameters and establish a performance-admixture correlation list.

[0018] Obtain the types and names of concrete admixtures. These typically include mineral admixtures such as slag, fly ash, and silica fume; chemical admixtures such as plasticizers and water reducers; and other modifiers such as fibers and expansion agents. Each admixture has specific properties and uses, and its name and basic characteristics, such as dosage range and mechanism of action, need to be defined for each.

[0019] Identify and determine the key performance parameters of the box culvert, such as compressive strength, tensile strength, elastic modulus, impermeability, and durability. Through experimental or theoretical research, analyze the impact of each additive on these performance parameters. Different additives have different effects on concrete; for example, some additives may increase compressive strength, while others may improve durability or impermeability. Each additive is regulated and adjusted, adjusting its dosage and analyzing its specific impact on various performance parameters. This process can be verified experimentally or using existing research data.

[0020] The relationships between different dopants and various box culvert performance parameters were organized, and a performance-doping association list was constructed. This list will provide a reference for subsequent performance matching and optimization. The association list includes the dopant name, category, recommended dosage range, and its impact on various performance parameters. For example, the addition of a certain dopant may increase the box culvert's compressive strength by 30% and its impermeability by 20%. This association list enables the selection of appropriate dopant combinations for different performance objectives and the adjustment of the concrete doping formula based on the target performance parameters.

[0021] The performance-doping material association list is matched and searched according to the preset performance parameter target of the long and large frame box culvert to obtain a performance matching doping scheme.

[0022] Define the preset performance parameter targets for long frame box culverts, including reducing hydration heat, improving crack resistance, and compensating for shrinkage deformation. In the performance-additive association list, search for additive combinations that meet these preset targets. For example, based on the hydration heat characteristics of the additives, select additives that effectively reduce hydration heat. For example, a combination of fly ash, slag, and silica fume can reduce hydration heat and lower the peak hydration heat. Based on the crack resistance and shrinkage compensation requirements, select appropriate expansion agents (such as MgO) and fibers (such as steel fiber and polypropylene fiber) to meet the performance requirements of long frame box culverts. For example, a combination of 25%-30% fly ash, 20% slag, and 5% silica fume can reduce the peak hydration heat to ≤280kJ / kg.

[0023] Through matching search, we finally get a concrete doping scheme whose comprehensive performance meets all preset goals. The scheme includes the type and dosage of the doping material and the synergistic material combination to ensure that performance targets such as hydration heat, crack resistance, and shrinkage compensation can be effectively met.

[0024] Based on the performance matching doping scheme, length temperature stress accumulation analysis is performed according to the structural length characteristics, crack prediction is performed according to the temperature stress gradient, and temperature gradient crack distribution is obtained.

[0025] According to the selected doping scheme, hydration heat analysis is first performed to calculate the heat released by concrete during the hydration process. Each doping material, such as fly ash, slag, silica fume, MgO expansion agent, etc., has different heat release characteristics during the hydration process. These characteristics determine the temperature rise of concrete during the hardening process. The temperature of the hydration heat is calculated and corrected according to the external ambient temperature to accurately simulate the temperature field.

[0026] Based on the hydration heat temperature and its variations, a temperature accumulation calculation is performed to obtain the temperature distribution at different locations within the long frame box culvert. For long frame structures, the temperature distribution is often non-uniform, especially with internal temperatures often higher than surface temperatures. Therefore, it is necessary to calculate the temperature difference based on the structure's dimensional characteristics. The temperature accumulation calculation results are used to create a temperature cloud map, displaying the temperature distribution and temperature gradient at each location. The temperature cloud map will show the temperature gradient distribution along the length of the structure and along the wall thickness, helping to identify areas with large temperature differences, which are often potential locations for cracks.

[0027] Using the temperature-stress relationship, the temperature gradient is converted into a stress distribution. Temperature differences lead to stress gradients within the concrete. The higher the temperature, the greater the thermal expansion, which may lead to the accumulation of tensile stress. By analyzing the temperature stress distribution, it is determined which areas may have stress exceeding the tensile strength of the material, thereby causing cracks.

[0028] Crack prediction is performed based on the distribution of temperature stress, combined with the tensile strength, elastic modulus and other properties of concrete. The crack prediction model is used to determine which areas may experience temperature-induced through-cracks. Usually, these cracks appear at locations with the greatest temperature stress. A temperature gradient crack distribution map is generated to show which locations and areas may be affected by temperature stress and cause cracks to occur.

[0029] According to the temperature gradient crack distribution and temperature stress gradient, the performance matching doping scheme is optimized in terms of doping amount and casting process dimension compensation to obtain an optimized concrete doping amount, which is used for concrete doping casting control.

[0030] Based on the obtained temperature gradient crack distribution map and temperature stress gradient, the areas with the most obvious temperature gradient and the greatest stress in the long and large frame box culvert are identified. These areas may cause cracks due to excessive temperature differences, especially in the high temperature gradient area and low temperature gradient area where the temperature stress is too large. In these two areas, the probability of crack occurrence is relatively high, so special attention is required.

[0031] Based on the prediction of crack distribution, temperature compensation of the doping material is carried out for the high temperature gradient zone and the low temperature gradient zone, including compensation for the proportion of the doping material and the length of the doping material. In addition, the distribution of temperature stress is also affected by the pouring process during the pouring process. Especially for long and large frame box culverts, segmented pouring in different time periods and different areas can effectively control the accumulation of hydration heat and avoid excessive temperature gradients.

[0032] Through the aforementioned optimization of dopant temperature compensation and adjustments to the pouring process, the final optimized concrete dopant content is determined, effectively meeting the requirements for temperature stress control, crack prediction, and structural performance. The optimized concrete dopant content is then used for actual pouring control. During the pouring process, the dopant content in each area is strictly controlled to ensure uniform distribution of the dopant.

[0033] Furthermore, the analysis of the structural length characteristics of the long frame box culvert includes: The length dimension and structural characteristics of the long frame box culvert are obtained; a mechanical response analysis is performed based on the length dimension and structural characteristics to obtain stress characteristics of each length distribution of the long frame box culvert and obtain the structural length characteristics.

[0034] Clarify the basic geometric parameters of the box culvert, such as the total length, width, and height. These data can usually be obtained through design drawings or on-site measurements. For long and large frame box culverts, in addition to the overall dimensions, it is also necessary to record the lengths of different parts, such as possible curved sections, connecting sections, or special structural sections. The dimensions of these different length sections may have different effects on temperature stress and crack formation.

[0035] Clarify the concrete type and characteristics used in the box culvert, such as whether high-performance concrete is used, the proportion of admixtures, and the use of other reinforcing materials. Long frame box culverts typically have specific frame structures, such as box structures and double-box structures. Each structure type may respond differently to temperature and stress, so detailed information needs to be recorded. Clarify the structure's support and connection methods, such as support location and connecting members. The support and connection methods will directly affect the stress distribution and thermal stress transmission of the structure.

[0036] By collecting the above data, the complete length dimensions and structural characteristics of the long and large frame box culvert are obtained, providing the necessary input data for the next step of mechanical response analysis.

[0037] Based on the geometric dimensions and structural characteristics of the box culvert, a mechanical response analysis is carried out to identify the stress characteristics of the box culvert at different length distributions, providing a basis for crack prediction and optimized design. Specifically, a finite element model of the long frame box culvert is established to simulate its mechanical response under different load conditions. The finite element model needs to consider information such as the length, cross-sectional dimensions, and material properties of the box culvert, and set load conditions, including deadweight, external loads such as soil pressure, traffic loads, and seismic loads, as well as factors such as temperature changes. The stress response of the long frame box culvert may be affected by these loads, especially when the temperature changes. The difference between the internal and external temperatures may lead to the generation of temperature stress.

[0038] By analyzing the temperature field inside the concrete and the temperature changes in the external environment, temperature stress analysis is performed. The temperature field analysis will provide data for the temperature stress distribution. Combined with the mechanical properties of concrete, such as elastic modulus and tensile strength, the stress distribution can be derived. The mechanical analysis will give the stress characteristics of each position of the box culvert. According to the structural dimensions and material properties of different length sections, the stress distribution in different parts of the box culvert is analyzed, with particular attention paid to the stress changes caused by the internal and external temperature difference caused by temperature.

[0039] The stress of the box culvert may be different at different length distributions. Some length sections may be more affected by external loads, while some sections may be more affected by temperature stress. For long and large frame box culverts, especially those spanning longer distances, temperature gradients may cause obvious temperature stress. Therefore, in the mechanical response analysis, special attention should be paid to the stress concentration areas caused by these temperature gradients.

[0040] Mechanical response analysis identifies areas with concentrated stress distribution, often high-risk areas for cracking. Based on the analysis results, stress distribution diagrams are created, showing stress levels at different lengths of the long frame box culvert. These diagrams help determine which locations require more attention, particularly in areas with large temperature gradients. The stress distribution and temperature stress gradients derived from mechanical response analysis can be used to further refine the length characteristics of the structure. For example, certain sections may require enhanced design or optimized materials and processes to reduce stress concentration and cracking risks.

[0041] Furthermore, the correlation analysis of concrete admixtures according to the box culvert performance parameters and the establishment of a performance-admixture correlation list include: Obtain the categories and names of concrete admixtures; perform directional regulation on the concrete admixtures according to the box culvert performance parameters to obtain the correlation between each category of admixtures and each box culvert performance parameter; integrate the correlation between all categories of admixtures and the box culvert performance parameters according to the box culvert performance parameters to construct the performance-admixture association list.

[0042] Identify and classify the various types of admixtures used in concrete, understand the name and characteristics of each admixture, and provide data support for subsequent performance control analysis. Specifically, concrete admixtures can be divided into several categories. Common categories include mineral admixtures: such as fly ash, slag, silica fume, natural pozzolana, etc. These admixtures can improve the compressive strength, impermeability, durability and other properties of concrete; chemical admixtures: such as water reducers, plasticizers, expansive agents, early strength agents, etc. These materials are usually used to improve the workability of concrete, increase early strength, control shrinkage, etc.; fiber admixtures: such as steel fiber, polypropylene fiber, glass fiber, etc. These materials are usually used to enhance the crack resistance and shear resistance of concrete; other admixtures: such as bentonite, fiber reinforcement materials, nanomaterials, etc.

[0043] For each type of dopant, determine its specific name and characteristics, including its chemical composition, physical properties such as particle size distribution and specific surface area, and its specific impact on concrete performance. Through classification and characteristic analysis of dopant, the name and basic characteristics of each dopant are obtained, providing data support for subsequent performance control.

[0044] Through experiments or theoretical analysis, the specific impact of each dopant on the performance parameters of the box culvert is determined, and the correlation between them is established. Specifically, the box culvert performance parameters are defined, including compressive strength, tensile strength, elastic modulus, impermeability, and durability. According to the characteristics of each dopant, its impact on different performance parameters is determined. For example, fly ash has good impermeability and durability, reduces hydration heat, and is suitable for large-volume concrete, but contributes less to compressive strength; slag can improve the compressive strength and impermeability of concrete, especially in high temperature and high humidity environments; silica fume can significantly improve compressive strength and increase durability, but usually needs to be used in moderation, because excessive use may reduce the workability of concrete.

[0045] Each admixture is used to adjust the performance of concrete by regulating its dosage. Through experimental data, a directional control relationship is established between each admixture and the box culvert performance parameters. For example, the specific effects of different dosages of fly ash, slag, silica fume, etc. on compressive strength, impermeability and other properties are obtained through experiments. Using these experimental results, a correlation is formed between the admixture and each performance parameter, further supporting the customized design of concrete performance.

[0046] Based on the directional control relationship, the correlation between each dopant and the box culvert performance parameters is systematically organized. For example, the degree of influence of different dopants on compressive strength, tensile strength, impermeability, durability, etc. is listed, and their optimal dosage range is recorded. The impact information of all dopants is integrated and summarized into a complete correlation list. The correlation list will provide strong support for subsequent concrete mix design and help select appropriate dopant combinations to meet the requirements of different box culvert performance parameters.

[0047] Furthermore, the performance parameters of the box culvert include: compressive strength, tensile strength, elastic modulus, impermeability, and durability.

[0048] The performance parameters of box culverts include compressive strength, tensile strength, elastic modulus, impermeability, and durability. Among them, compressive strength is the strength of concrete under compression, which is usually an important indicator for evaluating concrete quality; tensile strength is the strength of concrete under tension. Although the tensile strength of concrete is generally low, it is still important in some applications; elastic modulus describes the ability of concrete to deform within the elastic range, which is closely related to the stiffness and deformation characteristics of concrete; impermeability is the resistance of concrete to water penetration, which is usually evaluated through impermeability tests and directly affects the durability of concrete; durability includes frost resistance, chemical corrosion resistance, aging resistance, etc., which affect the long-term performance of concrete in harsh environments.

[0049] Further, including: Multiple experimental combinations are configured based on the types of concrete admixtures; adiabatic temperature rise experiments are conducted on the multiple experimental combinations to analyze the heat release law of concrete hydration; based on the heat release law of concrete hydration and combined with the external ambient temperature, temperature field and stress field coupling experimental analysis is conducted to establish a temperature-stress relationship.

[0050] According to the characteristics of each dopant and its impact on performance, multiple experimental combinations are configured. For example, in the low-dosage experiment, a lower proportion of dopant is used, such as 10%~15% fly ash, 10%~15% slag, 3%~5% silica fume, etc.; in the high-dosage experiment, a higher proportion of dopant is used, such as 25%~30% fly ash, 20%~25% slag, etc., to evaluate its impact on hydration heat, compressive strength, etc.; in the combination experiment, different combinations of multiple dopant are used, such as a composite blend of fly ash, slag and silica fume, to study the synergistic effect between them.

[0051] The dopant dosage for each experimental group is adjusted based on specific application objectives, such as compressive strength and impermeability. Different dopants have varying effects on hydration heat release and shrinkage performance, necessitating a combination of different dopants to optimize the overall performance of concrete. This design generates multiple experimental combinations, each containing different combinations and dosages of dopants, ensuring a comprehensive assessment of the impact of dopants on concrete hydration heat, temperature stress, and other aspects.

[0052] Through adiabatic temperature rise experiments, the heat release law during the concrete hydration process is studied, and the influence of dopants on the hydration heat peak and heat release rate is understood. Specifically, a calorimeter, such as a cement calorimeter, is used to monitor the heat released during the concrete hydration process. In a closed environment, the concrete hydration reaction is simulated under adiabatic conditions, and heat is not allowed to dissipate to ensure accurate hydration heat data. Each group of concrete samples is placed in a calorimeter under laboratory conditions, and the temperature changes at different time points are recorded. The hydration heat release rate and total heat are calculated based on the temperature change data. The temperature rise of the concrete from the start of pouring to the hydration heat release process is recorded, and the hydration heat release curves of different dopant groups are obtained.

[0053] Through experimental data, the heat release law of concrete hydration is analyzed. Specifically, the thermal peak value in the hydration process of each group of concrete is identified, and the influence of the use of different dopants on the thermal peak value is observed. For example, certain dopants (such as fly ash and slag) can significantly reduce the release peak value of hydration heat, thereby reducing the temperature gradient of concrete; the influence of different dopants on the hydration heat release rate is analyzed. For example, silica fume may increase the hydration heat release rate, while certain mineral admixtures (such as fly ash) may delay the release of hydration heat; the total heat of each experimental combination in the hydration process is calculated to understand the influence of dopants on hydration heat, thereby providing data support for subsequent temperature stress analysis.

[0054] Based on the results of the adiabatic temperature rise experiment, the influence of each additive on the hydration heat peak, release rate and heat accumulation was summarized, which will help in the subsequent analysis of the temperature field and stress field changes of concrete under different environments.

[0055] In actual coupled temperature and stress field analysis, in addition to considering the hydration heat release within the concrete, it is also necessary to consider external environmental temperature changes, such as air temperature and construction temperature. External temperature changes can affect the temperature distribution on the concrete surface, which in turn affects the formation of temperature gradients and the distribution of internal temperature stresses. Based on the obtained hydration heat release pattern and the external environmental temperature, numerical simulation methods such as finite element analysis are used to analyze the temperature field of the concrete. This temperature field analysis takes into account the hydration heat release, external environmental temperature, and the thermal conductivity characteristics of the concrete to determine the temperature distribution of the concrete at each moment.

[0056] Based on the results of the temperature field analysis, the temperature-induced stress field is further calculated. Temperature differences cause different areas of concrete to expand or contract, generating stress. The stress field analysis considers material properties such as the thermal expansion coefficient and elastic modulus of concrete to calculate the temperature stress in different areas. Through the coupled analysis of the temperature and stress fields, the relationship between temperature and stress is determined, which is usually manifested as stress changes caused by temperature differences. For example, areas with excessive temperature differences may result in large tensile stresses. Establishing a temperature-stress-tension relationship model clarifies the specific impact of temperature changes on concrete stress distribution, which helps with subsequent crack prediction and design optimization.

[0057] Furthermore, multiple experimental combinations were configured based on the types of concrete admixtures, including: For each category of concrete admixtures, different dosage gradients are configured to construct multiple groups of dosage experimental combinations for each category; based on the multiple groups of dosage experimental combinations for each category, different lengths of category admixtures are configured according to the length of the materials of each category to construct multiple groups of length experimental combinations for multiple categories; the multiple groups of dosage experimental combinations for each category are merged and integrated with the multiple groups of length experimental combinations for multiple categories to obtain the multiple groups of experimental combinations.

[0058] Each concrete admixture has different characteristics, affecting different properties of concrete. Different dosage gradients are configured for each category of concrete admixture. For example, for fly ash, different dosage gradients are set, such as 10%, 15%, 20%, 25%, and 30%. The goal of each gradient is to examine its impact on concrete performance. For silica fume, the dosage gradients are set to 3%, 5%, 7%, 10%, etc., to evaluate the impact of silica fume on hydration heat, compressive strength, and durability. For each admixture category, multiple different dosage experimental combinations are designed to ensure that each admixture is tested at different dosages. For example, for fly ash, five groups of experiments can be designed, each with a dosage combination of 10%, 15%, 20%, 25%, and 30%.

[0059] The impact of each additive on concrete is not only related to its dosage, but also to the length characteristics of its distribution. Materials of different lengths, such as fiber materials and slag particles, may produce different mechanical responses in concrete. For example, the length of steel fibers has a significant effect on the crack resistance of concrete, while the particle size and distribution of slag and fly ash will also affect the release of hydration heat and changes in the temperature field.

[0060] Different lengths of dopants were configured based on the length of each material category. For example, steel fibers of varying lengths, such as 50mm, 100mm, and 150mm, could be used to observe the effects of different fiber lengths on the crack resistance and shear strength of concrete. For fly ash and slag, different particle size combinations, such as fine and coarse particles, were used to observe their effects on hydration heat release and temperature stress. By combining the dosage gradient and material length, multiple dopant combinations were designed, with each dopant configured with a different dosage gradient and length combination, resulting in multiple different experimental groups.

[0061] By combining the dosage experimental combination with the length experimental combination, multiple groups of experimental combinations are obtained, which include all experimental combinations under different dosage and different length conditions. At this time, all experimental combinations can comprehensively examine the influence of various properties of concrete admixtures, especially in terms of changes in hydration heat, temperature field and stress field.

[0062] Furthermore, based on the performance matching doping scheme, length temperature stress accumulation analysis is performed according to the structural length characteristics, crack prediction is performed according to the temperature stress gradient, and temperature gradient crack distribution is obtained, including: A hydration heat analysis is performed based on the performance matching doping scheme and the heat release law of concrete hydration to obtain the hydration heat temperature; a temperature accumulation calculation is performed based on the hydration heat temperature, and a temperature difference calculation is performed based on the length of the long frame to obtain a temperature gradient distribution; the hydration heat temperature distribution is aligned with the external temperature positioning of each long frame to construct a temperature cloud map, which includes the temperature distribution and the temperature gradient in the length direction and the temperature gradient distribution in the wall thickness direction; based on the temperature cloud map, the temperature is converted into stress using the temperature-stress relationship to obtain the temperature stress distribution in the long frame; a fusion analysis is performed based on the temperature stress distribution combined with the structural length characteristics to predict cracks in the long frame box culvert, and the temperature gradient crack distribution is generated based on the crack prediction probability.

[0063] Based on the hydration heat experimental results in the previous steps and the hydration heat release law of concrete admixtures, the heat released by different admixture combinations during the hydration process is determined. For example, different admixtures such as fly ash, slag, and silica fume will affect the release rate and peak value of hydration heat. Each admixture has different heat release characteristics. The addition of mineral admixtures such as fly ash will delay the release of hydration heat, while the addition of silica fume may accelerate the release of hydration heat.

[0064] The concrete hydration heat equation is used to calculate the hydration heat temperature of concrete at different time points, combined with the proportion of admixtures and the heat release data of the cement hydration reaction. The calculation of the hydration heat temperature is usually based on the hydration heat exotherm curve, which is obtained through experiments. The accumulation of concrete hydration heat in a specific time period is calculated by integration to obtain the hydration heat temperature.

[0065] In long and large frame box culverts, the temperature of the concrete will gradually increase due to the release of hydration heat. The temperature accumulation calculation needs to consider the temperature changes of various parts of the concrete at different time points. The rate of hydration heat temperature change may vary at different locations of long and large frame box culverts due to factors such as size, concrete thickness, and pouring sequence. In particular, the long length of the frame may cause a large temperature difference between the interior and the surface. In the temperature difference calculation, the length of the frame is taken into account, and the temperature change is calculated according to the geometric shape of the structure. Through the above calculation, the temperature gradient distribution of the concrete during the hydration process is obtained. This distribution reflects the change of the internal temperature of the concrete with position. Generally, the temperature inside the frame is higher than the surface temperature, and long frames will form a significant temperature difference.

[0066] The hydration heat temperature distribution of concrete is closely related to changes in the external environment. For example, changes in the external ambient temperature affect the temperature of the concrete surface, while the internal hydration heat increases the internal temperature. Aligning the hydration heat temperature distribution with external temperatures, such as the outside air temperature or ambient temperature, accurately simulates the temperature at different locations within the box culvert. Temperature field analysis software is used to visualize temperature data, creating a temperature cloud map. This temperature cloud map shows the temperature distribution at various locations within and on the surface of the concrete, typically using color gradients to represent different temperature values.

[0067] The temperature cloud map includes temperature distribution and temperature gradient in the length direction and wall thickness direction. Among them, for the temperature gradient in the length direction, the internal temperature caused by hydration heat is usually higher than the surface temperature, and the temperature difference may be more significant along the length of the frame; for the temperature in the wall thickness direction, due to the different wall thickness of concrete, hydration heat may cause temperature differences in areas of different thicknesses, which has an important impact on the formation of cracks in concrete.

[0068] The temperature difference caused by the temperature gradient will cause thermal expansion or contraction of concrete. In concrete, the greater the temperature difference, the more significant the temperature stress generated. The stress-tension relationship is usually established based on the thermal expansion coefficient of concrete and the elastic modulus of the material. The temperature difference at different locations is obtained using the calculated hydration heat temperature distribution and external temperature data. Then, combined with the material properties of concrete, such as the thermal expansion coefficient and elastic modulus, the temperature difference is converted into temperature stress. The stress distribution at the corresponding location is calculated based on the temperature difference in each area in the temperature cloud map, and the overall distribution map of the temperature stress is obtained.

[0069] The resulting temperature stress distribution diagram shows the stress inside and on the surface of the concrete caused by temperature changes. Generally, temperature stress will appear in areas with large temperature differences. These areas are usually potential locations for cracks to occur. In areas with large stress, concrete may crack, especially where the external surface temperature is low and the internal temperature is high.

[0070] The stress distribution of long and large frame box culverts is not only related to the temperature gradient, but also closely related to factors such as the frame length, material distribution, and casting process. Frames of different lengths may have different stress concentration areas. When predicting cracks, it is necessary to combine the temperature stress distribution with the length characteristics of the structure. For example, a larger temperature gradient may exist in the longer part of the frame, which makes stress more likely to concentrate, leading to an increased risk of cracks. Through finite element analysis or other numerical simulation methods, combined with the geometric characteristics and stress distribution of the structure, a fusion analysis is performed to identify areas with higher crack risks.

[0071] Cracks are predicted using a crack prediction model based on temperature stress and structural characteristics, combined with temperature stress distribution. This model can predict the probability of crack occurrence based on factors such as stress concentration, temperature difference and the tensile strength of concrete. According to the crack prediction model, the crack distribution caused by temperature gradient is obtained. The crack distribution map can clearly show which areas have a higher probability of crack occurrence. Areas with high temperature difference and stress concentration are usually displayed as areas with high crack probability.

[0072] Furthermore, based on the temperature gradient crack distribution and temperature stress gradient, the performance matching doping scheme is optimized in terms of doping amount and pouring process dimension compensation to obtain an optimized concrete doping amount, including: Based on the temperature gradient crack distribution and temperature stress gradient, the high temperature gradient zone and the low temperature gradient zone in the region where the crack distribution probability reaches the threshold are identified; based on the temperature-stress relationship of the dopant, the high temperature gradient zone and the low temperature gradient zone are compensated for the dopant temperature, including compensation for the dopant proportion and / or the dopant material length.

[0073] Based on the temperature gradient crack distribution, we analyze which areas have a crack probability that reaches a predetermined threshold. For example, areas where the crack probability is greater than a certain value (such as 50%) are considered to be high-risk areas for cracks. These areas have large temperature stresses and more obvious temperature gradients, resulting in a higher risk of crack occurrence.

[0074] Specifically, the high temperature gradient zone usually refers to the area where the internal temperature of the concrete is much higher than the external ambient temperature, especially in the mid-span and armpit corners of the frame. The temperature difference is large, which can easily lead to temperature stress concentration. In these areas, the temperature rise rate is relatively fast and the internal hydration heat is released violently, resulting in a large temperature gradient, so special attention is required; the low temperature gradient zone refers to the area with smaller temperature changes. These areas are usually located at the ends or surfaces of the concrete frame. The temperature rises slowly and the temperature difference is small, but there are also local stresses caused by the slow release of hydration heat. Although the temperature difference is small, there may be a risk of temperature stress accumulation, especially on the surface of the structure or in thin-walled parts.

[0075] According to the temperature stress gradient and crack distribution probability, the frame box culvert is divided into a high temperature gradient zone and a low temperature gradient zone. The temperature and stress characteristics of these two areas are different, so different design optimization strategies are required for compensation and adjustment.

[0076] According to the temperature-stress relationship of the dopant, the temperature stress in different areas is converted into actual tensile stress, and appropriate dopant is selected for temperature compensation according to the stress characteristics of different areas. For the high temperature gradient area, the temperature stress is large, and it is necessary to reduce the occurrence of cracks by adding anti-cracking and shrinkage compensating materials; while the low temperature gradient area may need to reduce brittleness and optimize hydration heat characteristics by adjusting the dopant ratio.

[0077] Specifically, in high-temperature gradient areas, such as mid-span and axillary corners, cracks are easily caused by large temperature stresses. Therefore, the steel fiber dosage can be increased. Steel fiber can effectively improve the tensile strength and crack resistance of concrete and reduce cracks caused by temperature stress. The specific strategy is to increase the steel fiber dosage to 1.5%. This adjustment can significantly improve the tensile strength, and the tensile strength can be increased to 3.5 MPa. In order to compensate for the shrinkage deformation caused by temperature difference, MgO expansion agent can be added to the high-temperature gradient area, such as 10%. MgO expansion agent can effectively compensate for the shrinkage of concrete, reduce the volume change caused by temperature change, and limit the expansion rate.

[0078] In low-temperature gradient zones, such as ends, due to the small temperature change, the hydration heat release rate is slow, and excessive silica fume may cause the brittleness of concrete to increase. Therefore, the silica fume dosage can be appropriately reduced and adjusted to 3% to reduce local brittleness and improve the ductility and crack resistance of concrete. In order to reduce the hydration heat and reduce temperature stress in the low-temperature gradient zone, the fly ash dosage can be increased to 30%. Fly ash, as a mineral admixture, can effectively reduce the hydration heat and slow down the hydration reaction rate, thereby reducing the temperature stress caused by hydration heat.

[0079] Through the compensation strategy of these dopants, the accumulation of temperature stress can be effectively controlled in different temperature gradient zones, the risk of cracks can be reduced, and the overall performance of concrete can be improved.

[0080] Furthermore, the performance matching doping scheme is optimized for doping amount and casting process dimension compensation to obtain an optimized concrete doping amount, further comprising: Nodes where crack probability reaches a threshold are identified from the temperature gradient crack distribution; the length of the long frame box culvert is divided according to the location of the nodes to obtain segmented intervals; the segmented intervals are divided and poured in a timed manner, and based on the cumulative fitting of the hydration heat temperature of the divided and timed pouring, the temperature compensation amount is determined to optimize the temperature stress gradient and obtain an optimized pouring process plan.

[0081] Based on the temperature gradient crack distribution, a crack probability threshold is set. A typical crack probability threshold is 50% or higher. Areas above this threshold are considered high-risk for cracks and require special attention. Within the temperature gradient crack distribution, nodes with crack probabilities greater than or equal to the threshold are identified. These nodes are typically located where temperature stress is high and temperature differences are significant. These may be specific areas of long, framed box culverts, such as joints, thick sections, or exterior surfaces. These nodes are areas of concentrated temperature stress and present a higher risk of cracking. Controlling temperature differences and reducing cracking requires process measures such as zoned and timed pouring.

[0082] Based on the identified high-risk nodes, their specific locations on the long and large frame box culvert are determined. The locations of these nodes can be used to delineate areas with higher or lower temperature stresses, helping to determine whether the frame box culvert needs to be cast in sections. Within the total length of the frame box culvert, reasonable segmentation is performed based on the temperature stress gradient and nodes with higher crack probability. For example, if a node with large temperature differences and a higher crack risk is located in a certain section of the frame, this section is used as a segment. Each segment should have a relatively consistent hydration heat change and temperature stress distribution to ensure that temperature increases during casting are effectively controlled and to avoid cracks caused by excessive temperature differences.

[0083] According to the aforementioned segmented intervals and temperature stress distribution, the method of partitioned and timed pouring is adopted for concrete pouring. Partitioned and timed pouring can prevent the accumulation of excessive temperature gradients in different areas, thereby reducing the concentration of temperature stress. Specifically, according to the structural characteristics of the frame, different partitions are poured separately. For example, the area with greater temperature stress needs to be poured first, and the pouring of other areas can be carried out after its temperature change tends to stabilize; according to the release rate of hydration heat, pouring is carried out in stages, and the pouring amount of each stage is controlled to ensure the gradual release of hydration heat, so as to avoid the situation where stress concentration is caused by excessive temperature during a single pouring.

[0084] The fitting method of hydration heat temperature accumulation is used to calculate the temperature changes under zoned and timed pouring. Through temperature simulation, the hydration heat temperature changes of concrete in different time periods and different pouring intervals are predicted. By adjusting the pouring sequence and pouring rate, the temperature rise in each divided interval can be controlled within a safe range, thereby avoiding cracks caused by excessive temperature differences.

[0085] The temperature compensation amount of each partition is determined based on the fitting results of the hydration heat temperature accumulation. The temperature compensation amount is usually achieved by adjusting the admixture ratio, such as adding expansion agents and reducing the admixtures with large heat release to control the temperature rise rate of concrete. For example, more expansion agents or fibers are used in the high temperature gradient zone to compensate for temperature shrinkage; in the low temperature gradient zone, the temperature rise rate is reduced by appropriately reducing the admixtures with faster heat release.

[0086] Based on the cumulative fitting of hydration heat temperature and temperature compensation, an optimized casting process plan is formulated. The optimized process plan can effectively control the temperature stress gradient, reduce temperature differences, and avoid cracks caused by excessive temperature stress. The process plan includes the order of partition casting, the interval of casting time, and the proportion of doping materials to ensure that the temperature stress in each interval is balanced.

[0087] In summary, the box culvert performance optimization method based on concrete doping control provided in the embodiments of the present application has the following technical effects: By analyzing the dimensions and structural characteristics of long and large frame box culverts, the stress distribution characteristics of concrete in different length regions were clarified. The structural length characteristics of long and large frame box culverts affect the temperature stress gradient of concrete, which provides a theoretical basis for subsequent temperature stress analysis and helps identify potential cracking areas caused by temperature gradients. By establishing a property-admixture association list and matching admixtures according to the performance objectives of the box culvert, the selection of admixtures ensures that the appropriate performance requirements are met. This process optimizes the performance of concrete, making it more durable and, in particular, reducing the risk of cracking caused by shrinkage and temperature changes. Through a temperature stress accumulation analysis based on the structural length characteristics, the distribution of temperature gradient cracks in long and large frame box culverts is accurately predicted. This prediction method can identify areas with high temperature stress, effectively avoid the occurrence of cracks, and provide data support for subsequent temperature control and process adjustments. Based on the analysis of temperature gradient crack distribution and temperature stress gradient, combined with the characteristics of the admixture, the concrete admixture content and pouring process are optimized. This optimization can accurately control the accumulation of hydration heat and temperature stress in concrete, avoid cracking caused by excessive temperature differences, and improve the crack resistance and long-term stability of concrete.

[0088] Example 2 is based on the same inventive concept as the box culvert performance optimization method based on concrete doping control in the previous embodiment. Figure 2 As shown, an embodiment of the present application provides a box culvert performance optimization system based on concrete doping control, the system comprising: The length feature analysis module 10 is used to analyze the structural length features of the long and large frame box culvert.

[0089] The correlation analysis module 20 is used to perform correlation analysis on concrete admixtures according to the box culvert performance parameters and establish a performance-admixture correlation list.

[0090] The matching search module 30 is used to perform a matching search on the performance-doping material association list according to the preset performance parameter target of the long and large frame box culvert to obtain a performance matching doping scheme.

[0091] The crack prediction module 40 is used to perform length temperature stress accumulation analysis according to the structure length characteristics based on the performance matching doping scheme, predict cracks according to the temperature stress gradient, and obtain temperature gradient crack distribution.

[0092] The pouring control module 50 is used to optimize the doping amount and pouring process dimension compensation of the performance matching doping scheme according to the temperature gradient crack distribution and temperature stress gradient, and obtain the optimized concrete doping amount, which is used for concrete doping pouring control.

[0093] Furthermore, the length feature analysis module 10 includes the following steps: The length dimension and structural characteristics of the long frame box culvert are obtained; a mechanical response analysis is performed based on the length dimension and structural characteristics to obtain stress characteristics of each length distribution of the long frame box culvert and obtain the structural length characteristics.

[0094] Furthermore, the correlation analysis module 20 includes the following steps: Obtain the categories and names of concrete admixtures; perform directional regulation on the concrete admixtures according to the box culvert performance parameters to obtain the correlation between each category of admixtures and each box culvert performance parameter; integrate the correlation between all categories of admixtures and the box culvert performance parameters according to the box culvert performance parameters to construct the performance-admixture association list.

[0095] Furthermore, the performance parameters of the box culvert include: compressive strength, tensile strength, elastic modulus, impermeability, and durability.

[0096] Furthermore, the correlation analysis module 20 includes the following steps: Multiple experimental combinations are configured based on the types of concrete admixtures; adiabatic temperature rise experiments are conducted on the multiple experimental combinations to analyze the heat release law of concrete hydration; based on the heat release law of concrete hydration and combined with the external ambient temperature, temperature field and stress field coupling experimental analysis is conducted to establish a temperature-stress relationship.

[0097] Furthermore, the correlation analysis module 20 includes the following steps: For each category of concrete admixtures, different dosage gradients are configured to construct multiple groups of dosage experimental combinations for each category; based on the multiple groups of dosage experimental combinations for each category, different lengths of category admixtures are configured according to the length of the materials of each category to construct multiple groups of length experimental combinations for multiple categories; the multiple groups of dosage experimental combinations for each category are merged and integrated with the multiple groups of length experimental combinations for multiple categories to obtain the multiple groups of experimental combinations.

[0098] Furthermore, the crack prediction module 40 includes the following steps: A hydration heat analysis is performed based on the performance matching doping scheme and the heat release law of concrete hydration to obtain the hydration heat temperature; a temperature accumulation calculation is performed based on the hydration heat temperature, and a temperature difference calculation is performed based on the length of the long frame to obtain a temperature gradient distribution; the hydration heat temperature distribution is aligned with the external temperature positioning of each long frame to construct a temperature cloud map, which includes the temperature distribution and the temperature gradient in the length direction and the temperature gradient distribution in the wall thickness direction; based on the temperature cloud map, the temperature is converted into stress using the temperature-stress relationship to obtain the temperature stress distribution in the long frame; a fusion analysis is performed based on the temperature stress distribution combined with the structural length characteristics to predict cracks in the long frame box culvert, and the temperature gradient crack distribution is generated based on the crack prediction probability.

[0099] Furthermore, the pouring control module 50 includes the following operating steps: Based on the temperature gradient crack distribution and temperature stress gradient, the high temperature gradient zone and the low temperature gradient zone in the region where the crack distribution probability reaches the threshold are identified; based on the temperature-stress relationship of the dopant, the high temperature gradient zone and the low temperature gradient zone are compensated for the dopant temperature, including compensation for the dopant proportion and / or the dopant material length.

[0100] Furthermore, the pouring control module 50 includes the following operating steps: Nodes where crack probability reaches a threshold are identified from the temperature gradient crack distribution; the length of the long frame box culvert is divided according to the location of the nodes to obtain segmented intervals; the segmented intervals are divided and poured in a timed manner, and based on the cumulative fitting of the hydration heat temperature of the divided and timed pouring, the temperature compensation amount is determined to optimize the temperature stress gradient and obtain an optimized pouring process plan.

[0101] Through the above detailed description of the box culvert performance optimization method based on concrete doping amount control in this specification, those skilled in the art can clearly understand the box culvert performance optimization system based on concrete doping amount control in this embodiment. Since it corresponds to the method disclosed in the embodiment, the description is relatively simple. For relevant matters, please refer to the method part description.

[0102] The above description of the disclosed embodiments is intended to enable one skilled in the art to implement or use the present application. Various modifications to these embodiments will be readily apparent to one skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application is not limited to the embodiments shown herein, but is intended to conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A box culvert performance optimization method based on concrete doping control is characterized by: The method comprises: Analyze the structural length characteristics of long and large frame box culverts; Conduct correlation analysis on concrete admixtures according to box culvert performance parameters and establish a performance-admixture correlation list; Performing a matching search on the performance-doping material association list according to the preset performance parameter target of the long frame box culvert to obtain a performance matching doping scheme; Based on the performance matching doping scheme, length temperature stress accumulation analysis is performed according to the structural length characteristics, crack prediction is performed according to the temperature stress gradient, and temperature gradient crack distribution is obtained; According to the temperature gradient crack distribution and temperature stress gradient, the performance matching doping scheme is optimized in terms of doping amount and casting process dimension compensation to obtain an optimized concrete doping amount, which is used for concrete doping casting control.

2. The box culvert performance optimization method based on concrete doping control according to claim 1 is characterized in that: The analysis of the structural length characteristics of the long frame box culvert includes: Obtain the length, size and structural characteristics of the long and large frame box culvert; A mechanical response analysis is performed based on the length dimensions and structural characteristics to obtain stress characteristics of each length distribution of the long and large frame box culvert and the structural length characteristics.

3. The box culvert performance optimization method based on concrete doping control according to claim 1 is characterized in that: The correlation analysis of concrete admixtures is performed according to the box culvert performance parameters to establish a performance-admixture correlation list, including: Obtain the type and name of concrete admixture; Directively regulating the concrete admixtures according to the box culvert performance parameters to obtain correlations between various types of admixtures and various box culvert performance parameters; According to the box culvert performance parameters, the correlation relationships between all types of adulterated materials and the box culvert performance parameters are integrated to construct the performance-adulterated material correlation list.

4. The box culvert performance optimization method based on concrete doping control according to claim 3 is characterized in that: The performance parameters of the box culvert include compressive strength, tensile strength, elastic modulus, impermeability, and durability.

5. The box culvert performance optimization method based on concrete doping control according to claim 3 is characterized in that: include: Configure multiple experimental combinations based on the types of concrete admixtures; Conducting adiabatic temperature rise experiments on the multiple experimental combinations to analyze the heat release law of concrete hydration; Based on the heat release law of concrete hydration and combined with the external ambient temperature, a coupled experimental analysis of the temperature field and stress field was conducted to establish a temperature-stress relationship.

6. The box culvert performance optimization method based on concrete doping control according to claim 5 is characterized in that: Configure multiple experimental combinations based on the type of concrete additives, including: For each type of concrete admixture, different dosage gradients are configured to construct multiple groups of dosage experimental combinations for each category; Based on the multiple groups of doping experimental combinations of each category, different lengths of category doping materials are configured according to the length of each category of materials to construct multiple categories of multiple groups of length experimental combinations; The multiple groups of dosage experimental combinations of each category and the multiple groups of length experimental combinations of multiple categories are merged and integrated to obtain the multiple groups of experimental combinations.

7. The box culvert performance optimization method based on concrete doping control according to claim 6 is characterized in that: Based on the performance matching doping scheme, length temperature stress accumulation analysis is performed according to the structural length characteristics, crack prediction is performed according to the temperature stress gradient, and the temperature gradient crack distribution is obtained, including: Performing hydration heat analysis based on the performance matching doping scheme and the heat release law of concrete hydration to obtain the hydration heat temperature; Performing temperature accumulation calculation based on the hydration heat temperature, and performing temperature difference calculation based on the length of the growing frame to obtain a temperature gradient distribution; Align the hydration heat temperature distribution with the external temperature of each long frame to construct a temperature cloud map, which includes the temperature distribution and the temperature gradient in the length direction and the temperature gradient distribution in the wall thickness direction; According to the temperature cloud map, the temperature is converted into stress by using the temperature-stress relationship to obtain the temperature stress distribution in the long frame; A fusion analysis is performed based on the temperature stress distribution combined with the structural length characteristics to predict cracks on the long frame box culvert, and the temperature gradient crack distribution is generated according to the crack prediction probability.

8. The box culvert performance optimization method based on concrete doping control according to claim 7 is characterized in that: According to the temperature gradient crack distribution and temperature stress gradient, the performance matching doping scheme is optimized in terms of doping amount and pouring process dimension compensation to obtain an optimized concrete doping amount, including: Identifying a high temperature gradient region and a low temperature gradient region in an area where the probability of crack distribution reaches a threshold value based on the temperature gradient crack distribution and the temperature stress gradient; According to the temperature-stress relationship of the dopant, temperature compensation of the dopant is performed on the high temperature gradient zone and the low temperature gradient zone, including compensation of the dopant proportion and / or the length of the dopant material.

9. The box culvert performance optimization method based on concrete doping control according to claim 8 is characterized in that: The performance matching doping scheme is optimized for doping amount and pouring process dimension compensation to obtain an optimized concrete doping amount, further comprising: identifying nodes where crack probability reaches a threshold value from the temperature gradient crack distribution; The length of the long frame box culvert is divided according to the positioning of the nodes to obtain the divided intervals; The divided intervals are irrigated in different zones and at different times. Based on the cumulative fitting of the hydration heat temperature of the divided and timed irrigating, the temperature compensation amount is determined to optimize the temperature stress gradient and obtain an optimized pouring process plan.

10. The box culvert performance optimization system based on concrete doping control is characterized by: The system is used to implement the box culvert performance optimization method based on concrete doping control according to any one of claims 1 to 9. include: Length feature analysis module, used to analyze the structural length features of long and large frame box culverts; The correlation analysis module is used to conduct correlation analysis on concrete admixtures according to the box culvert performance parameters and establish a performance-admixture correlation list; A matching search module is used to perform a matching search on the performance-doping material association list according to the preset performance parameter target of the long frame box culvert to obtain a performance matching doping scheme; A crack prediction module is used to perform a length temperature stress accumulation analysis based on the performance matching doping scheme according to the structural length characteristics, predict cracks according to the temperature stress gradient, and obtain a temperature gradient crack distribution; The pouring control module is used to optimize the doping amount and pouring process dimension compensation of the performance matching doping scheme according to the temperature gradient crack distribution and temperature stress gradient, and obtain the optimized concrete doping amount. The optimized concrete doping amount is used for concrete doping pouring control.

Images