Method for analyzing durability of basalt fiber concrete under response of multiple natural factors

Abstract

The invention relates to the technical field of basalt fiber concrete, in particular to a durability analysis method of basalt fiber concrete under response of multiple natural factors, which improves the service life and stability of a concrete structure by comprehensively evaluating the influence of environmental factors such as temperature, humidity, chemical erosion and freeze-thaw cycle on the durability of concrete. The method comprises the following steps: firstly, determining an analysis target and an environmental condition, designing a concrete mix proportion index (CI) considering a basalt fiber mixing amount, a water-binder ratio, an aggregate ratio and an additive ratio, further preparing a concrete test piece, establishing a concrete test piece preparation quality index (QI), evaluating mechanical properties and durability, and constructing a performance evaluation index (API). The invention provides a systematic and scientific analysis tool for durability evaluation and life prediction of basalt fiber concrete, and has important engineering application value and market popularization prospect.

Description

Technical Field

[0001] The invention relates to the technical field of basalt fiber concrete, in particular to a durability analysis method of basalt fiber concrete under multi-natural factor response. Background Art

[0002] Durability analysis of basalt fiber concrete under multiple natural factors is a comprehensive evaluation method used to determine the long-term performance and durability of basalt fiber concrete (BFRC) under multiple natural environmental factors. These natural factors may include but are not limited to temperature changes, humidity, ultraviolet radiation, chemical erosion (such as salt erosion), freeze-thaw cycles, biological erosion, etc. The purpose of this analysis is to predict and improve the service life and performance of concrete structures in actual use environments.

[0003] Existing technologies often lack a systematic analysis of the effects of specific environmental conditions on the durability of concrete structures or components. Although factors such as temperature, humidity, chemical corrosion, and freeze-thaw cycles have an important impact on the durability of concrete, existing methods usually fail to comprehensively consider these factors. Therefore, a durability analysis method for basalt fiber concrete under multi-natural factor response is proposed to address the above issues. Summary of the invention

[0004] The purpose of the present invention is to provide a durability analysis method for basalt fiber concrete under multi-natural factor response, so as to solve the problems raised in the above background technology.

[0005] To achieve the above object, the present invention provides the following technical solutions:

[0006] The durability analysis method of basalt fiber concrete under multi-natural factor response is to determine the analysis target and environmental conditions, the basalt fiber concrete structure or component to be analyzed is clearly determined, the main natural factors affecting the durability of concrete, temperature, humidity, chemical erosion, freeze-thaw cycle are determined, and the following steps are performed:

[0007] Ⅰ. Material properties and mix design

[0008] Ⅱ. Preparation of concrete specimens

[0009] Ⅲ. Conduct mechanical properties test

[0010] IV. Durability test

[0011] V. Data Collection and Analysis

[0012] VI. Multi-factor coupling analysis

[0013] VII. Durability evaluation

[0014] VIII. Life expectancy prediction

[0015] As a further optimized content of the present invention, the step I includes: providing a quantitative method to evaluate the balance and effect of different mix ratios according to the dosage of basalt fiber, water-cement ratio, aggregate ratio and additive ratio, and the mix index (CI) formula is as follows:

[0016] CI=a·BFI+b·W / C+c·AG+d·A

[0017] Wherein, BFI (basalt fiber content index): BFI = VBF / Vtotal, VBF is the volume of basalt fiber, Vtotal is the total volume of concrete; W / C (water-cement ratio): W / C = mwater / mcement + madmixtures, mwater is the mass of water, mcement is the mass of cement, madmixtures is the mass of mineral admixtures; AG (aggregate ratio): AG = maggregate / mtotal_concrete, maggregate is the total mass of aggregate, mtotal_concrete is the total mass of concrete; A (additive ratio): A = madmixtures / mcement, madmixtures is the mass of additives; a, b, c, d are weight coefficients used to indicate the importance of different factors in the comprehensive mix index.

[0018] As a further optimization of the present invention, the step II includes: evaluating the quality of the concrete specimen preparation according to the dosage of basalt fiber, the basic composition ratio of concrete and the standard size of the specimen. The calculation formula for evaluating the quality of the concrete specimen preparation is as follows:

[0019] QI=α·BFR+β·CR+γ·SR+δ·DIM

[0020] Wherein, BFR (basalt fiber content ratio): BFR = mbF / mtotal, mBF is the mass of basalt fiber, mtotal is the total mass of concrete specimen; CRCR (cementitious material ratio): CR = mcement / mtotal, mcement is the mass of cement; SRSR (sand ratio, the total ratio of fine aggregate to coarse aggregate): SR = mfine + mcoarse / mtotal, mfine is the mass of fine aggregate, mcoarse is the mass of coarse aggregate; DIM (specimen size normalization factor): DIM = Dspec / Dactual, Dspec is the specified standard size, Dactual is the size of the actual specimen; α, β, γ, δ are weight coefficients used to adjust the contribution of each parameter to QIQI according to importance.

[0021] As a further optimized content of the present invention, wherein: the step III comprises: performing mechanical property tests on the concrete according to its compressive strength, flexural strength and tensile strength, and the mechanical property index (MPI) formula is as follows:

[0022] MPI=w1·fc+w2·ft+w3·fs

[0023] In the formula, the mechanical property index (MPI) formula is: MPI = w1·fc+w2·ft+w3·fs; c is the compressive strength of concrete, ftft is the flexural strength of concrete; fsfs is the tensile strength of concrete (for example, obtained by splitting tensile strength test); w1, w2, w3w1, w2, w3 are weight coefficients; used to adjust according to the importance of different mechanical properties in concrete applications.

[0024] As a further optimized content of the present invention, wherein: the step IV comprises: performing durability test according to the impermeability, freeze-thaw resistance and chemical corrosion resistance of the concrete, and the durability index (DI) formula is as follows:

[0025]

[0026] Where P is the impermeability of concrete, expressed in terms of penetration height; F is the freeze-thaw resistance of concrete, expressed in terms of the number of freeze-thaw cycles; E is the chemical corrosion resistance of concrete, expressed in terms of corrosion degree; kP, kF, kE are coefficients related to durability performance, which are used to adjust the impact intensity of different durability indicators; and e is the base of the natural logarithm (approximately equal to 2.71828).

[0027] As a further optimization of the present invention, the step V includes: analyzing the influence of basalt fiber dosage on the mechanical properties and durability of concrete, and determining the optimal dosage, using nonlinear weighting to reflect the potential changes in performance under different dosages, and performing performance evaluation index evaluation. The performance evaluation index (API) formula is as follows:

[0028] API = ∑i = 1n(wi·f(xi))

[0029] Where wi is the weight coefficient of the i-th performance index, which is adjusted according to the importance of the performance index; f(xi) is the nonlinear function of the performance index xixi, which is used to simulate the influence of basalt fiber content on the performance; n is the total number of performance indicators considered.

[0030] As a further optimized content of the present invention, the step VI includes: considering the influence of different environmental factors on the durability of concrete, and using a nonlinear model to reflect the interaction of these factors, evaluating the multi-factor coupling durability index, and the multi-factor coupling durability index (MDI) formula is as follows:

[0031] MDI=g(∑j=1m(∑i=1nwij·fij(xi,ej)))

[0032] where n is the total number of performance indicators considered (such as compressive strength, flexural strength, impermeability, etc.); m is the total number of natural factors considered (such as salt erosion, dry-wet cycles, etc.); wij is the weight coefficient of the ith performance indicator under the jjth natural factor; fij(xi,ej) is the nonlinear function of the performance indicator xixi under the influence of the natural factor ej; g(·) is a comprehensive function used to integrate the coupling effects of all performance indicators and natural factors.

[0033] As a further optimized content of the present invention, the step VII includes: using the entropy weight method to determine the weight of each durability index, and combining multi-factor coupling analysis to evaluate the durability of basalt fiber concrete, the durability evaluation index (CDI) formula is as follows:

[0034]

[0035] Where K is the total number of durability indicators considered (such as impermeability, freeze-thaw resistance, chemical corrosion resistance, etc.); wk is the weight of the kth durability indicator, determined by the entropy weight method; Sk is the standard score of the kth durability indicator, which is used to eliminate the influence of different indicator dimensions.

[0036] As a further optimized content of the present invention, the step VIII includes: constructing a life prediction model based on the GM (1,1) model, and introducing complexity to consider multiple influencing factors, and constructing a structural life prediction model (SLPM) formula:

[0037]

[0038] Where, L is the expected service life of the predicted structure or component; L0 is the theoretical service life of the structure or component under standard conditions; n is the total number of influencing factors considered (such as environmental factors, material properties, usage conditions, etc.); ai is the coefficient of the i-th influencing factor, indicating the relative influence intensity of the factor on the life; Ii is the indicator of the i-th influencing factor, which can be a quantitative value of the environmental factor, a metric value of the material property, or a descriptor of the usage conditions.

[0039] As further optimized contents of the present invention, among others: risk assessment and management, based on the above test and analysis results, assesses the risks that the structure or component may face during its expected service life, including durability degradation and mechanical property degradation caused by environmental factors.

[0040] Compared with the prior art, the present invention has the following beneficial effects:

[0041] 1. In the present invention, the quantitative evaluation method of the mix index (CI) can more accurately determine the dosage of basalt fiber, water-binder ratio, aggregate ratio and additive ratio, thereby optimizing the mix ratio of concrete. This method helps to improve the mechanical properties and durability of concrete and achieve the optimization of material design;

[0042] 2. In the present invention, through the performance evaluation index (API) and the multi-factor coupling durability index (MDI), this method can comprehensively consider the impact of different environmental factors on the durability of concrete, as well as the nonlinear effect of basalt fiber content on performance. This comprehensive evaluation provides a scientific basis for the long-term stability and durability of concrete structures;

[0043] 3. In the present invention, by using the structural life prediction model (SLPM) and the durability evaluation index (CDI) determined by the entropy weight method, the method can predict the expected service life of concrete structures or components and conduct risk assessment. This enables engineers to identify potential risks in advance and take corresponding management measures, thereby reducing maintenance costs and improving the economic benefits of the structure. BRIEF DESCRIPTION OF THE DRAWINGS

[0044] Figure 1 It is a schematic diagram of the overall structure of the present invention; DETAILED DESCRIPTION

[0045] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0046] It should be noted that the terms used herein are only for describing specific embodiments and are not intended to limit the exemplary embodiments according to the present application. As used herein, unless the context clearly indicates otherwise, the singular form is also intended to include the plural form. In addition, it should be understood that when the terms "comprise" and / or "include" are used in this specification, it indicates the presence of features, steps, operations, devices, components and / or combinations thereof.

[0047] See also Figure 1 , the present invention provides a technical solution:

[0048] The durability analysis method of basalt fiber concrete under multi-natural factor response is to determine the analysis target and environmental conditions, the basalt fiber concrete structure or component to be analyzed is clearly determined, the main natural factors affecting the durability of concrete, temperature, humidity, chemical erosion, freeze-thaw cycle are determined, and the following steps are performed:

[0049] Ⅰ. Material properties and mix design

[0050] Ⅱ. Preparation of concrete specimens

[0051] Ⅲ. Conduct mechanical properties test

[0052] IV. Durability test

[0053] V. Data Collection and Analysis

[0054] VI. Multi-factor coupling analysis

[0055] VII. Durability evaluation

[0056] VIII. Life expectancy prediction

[0057] As a further implementation of this scheme, step I includes: providing a quantitative method to evaluate the balance and effect of different mix ratios according to the dosage of basalt fiber, water-cement ratio, aggregate ratio and additive ratio, and the mix index (CI) formula is as follows:

[0058] CI=a·BFI+b·W / C+c·AG+d·A

[0059] Wherein, BFI (basalt fiber content index): BFI = VBF / Vtotal, VBF is the volume of basalt fiber, Vtotal is the total volume of concrete; W / C (water-cement ratio): W / C = mwater / mcement+madmixtures, mwater is the mass of water, mcement is the mass of cement, madmixtures is the mass of mineral admixtures; AG (aggregate ratio): AG = maggregate / mtotal_concrete, maggregate is the total mass of aggregate, mtotal_concrete is the total mass of concrete; A (additive ratio): A = madmixtures / mcement, madmixtures is the mass of additives; a, b, c, d are weight coefficients used to indicate the importance of different factors in the comprehensive mix index. The comprehensive effects of fiber reinforcement, water-cement ratio, aggregate and additives can be considered at the same time. This method can help optimize the durability, workability and long-term performance of concrete.

[0060] As a further implementation of this scheme, step II includes: evaluating the quality of the concrete specimen preparation according to the dosage of basalt fiber, the basic composition ratio of concrete and the standard size of the specimen. The calculation formula for evaluating the quality of the concrete specimen preparation is as follows:

[0061] QI=α·BFR+β·CR+γ·SR+δ·DIM

[0062] Wherein, BFR (basalt fiber content ratio): BFR = mBF / mtotal, mBF is the mass of basalt fiber, mtotal is the total mass of concrete specimen; CRCR (cementitious material ratio): CR = mcement / mtotal, mcement is the mass of cement; SRSR (sand ratio, the total ratio of fine aggregate to coarse aggregate): SR = mfine + mcoarse / mtotal, mfine is the mass of fine aggregate, mcoarse is the mass of coarse aggregate; DIM (specimen dimension standardization factor): DIM = Dspec / Dactual, Dspec is the specified standard size, Dactual is the size of the actual specimen; α, β, γ, δ are weight coefficients used to adjust the contribution of each parameter to QIQI according to importance, providing a quantitative method for comprehensively evaluating the quality of concrete specimen preparation, including fiber reinforcement effect, rationality of material ratio and accuracy of size, to help optimize the preparation process of concrete specimens and ensure the consistency and reliability of specimens under different test conditions;

[0063] As a further implementation of this scheme, the step III includes: conducting mechanical property tests on the concrete according to its compressive strength, flexural strength and tensile strength. The mechanical property index (MPI) formula is as follows:

[0064] MPI=w1·fc+w2·ft+w3·fs

[0065] Wherein, the mechanical properties index (MPI) formula is: MPI = w1·fc+w2·ft+w3·fs; c is the compressive strength of concrete, ftft is the flexural strength of concrete; fsfs is the tensile strength of concrete (for example, obtained by splitting tensile strength test); w1, w2, w3w1, w2, w3 are weight coefficients; they are used to adjust according to the importance of different mechanical properties in concrete applications, determine the specific value of each strength through experiments, and adjust the weight coefficient according to actual applications, so as to more accurately evaluate the mechanical properties of concrete;

[0066] As a further implementation of this solution, step IV includes: conducting durability tests based on the concrete's impermeability, freeze-thaw resistance, and chemical corrosion resistance. The durability index (DI) formula is as follows:

[0067]

[0068] In the formula, P is the impermeability of concrete, expressed in terms of penetration height, F is the freeze-thaw resistance of concrete, expressed in terms of the number of freeze-thaw cycles, E is the chemical erosion resistance of concrete, expressed in terms of the degree of erosion, kP, kF, kE are coefficients related to durability performance, which are used to adjust the impact intensity of different durability indicators, and e is the base of the natural logarithm (approximately equal to 2.71828), which provides a quantitative method for comprehensively evaluating the durability of concrete, allowing designers and engineers to consider multiple durability factors at the same time, and allowing different durability indicators to be given different weights according to different environmental conditions and engineering requirements to determine whether the concrete meets the durability requirements of a specific application;

[0069] As a further implementation of this scheme, step V includes: analyzing the influence of basalt fiber dosage on the mechanical properties and durability of concrete, and determining the optimal dosage, using nonlinear weighting to reflect the potential changes in performance under different dosages, and performing performance evaluation index evaluation. The performance evaluation index (API) formula is as follows:

[0070] API = ∑i = 1n(wi·f(xi))

[0071] Where, wi is the weight coefficient of the i-th performance indicator, which is adjusted according to the importance of the performance indicator; f(xi) is the nonlinear function of the performance indicator xixi, which is used to simulate the effect of basalt fiber content on performance; n is the total number of performance indicators considered. This is a nonlinear model that can better simulate the nonlinear effect of durability performance indicators. The Sigmoid function contributes less to DIDI when P, F, EP, F, and E are low. As P, F, EP, F, and E increase, the contribution to DIDI gradually increases, but after reaching a certain threshold, the growth rate slows down, allowing designers and engineers to adjust the kP, kF, kEkP, kF, and kE coefficients according to different environmental conditions and engineering requirements to determine whether the concrete meets the durability requirements of specific applications;

[0072] As a further implementation of this scheme, step VI includes: considering the influence of different environmental factors on the durability of concrete, and using a nonlinear model to reflect the interaction of these factors, evaluating the multi-factor coupling durability index, and the multi-factor coupling durability index (MDI) formula is as follows:

[0073] MDI=g(∑j=1m(∑i=1nwij·fij(xi,ej)))

[0074] Where n is the total number of performance indicators considered (such as compressive strength, flexural strength, impermeability, etc.); m is the total number of natural factors considered (such as salt erosion, dry-wet cycles, etc.); wij is the weight coefficient of the i-th performance indicator under the jj-th natural factor; fij(xi,ej) is the nonlinear function of the performance indicator xixi under the influence of the natural factor ej; g(·) is a comprehensive function used to integrate the coupling effects of all performance indicators and natural factors. The Sigmoid function is used to simulate the nonlinear relationship between dosage and performance, which can more accurately capture the changing trend of the influence of dosage on performance. Through nonlinear weighting, APIAPI allows designers and engineers to determine the optimal dosage based on the importance of different performance indicators and the sensitivity of dosage to performance.

[0075] As a further implementation of this scheme, step VII includes: using the entropy weight method to determine the weight of each durability index, and combining multi-factor coupling analysis to evaluate the durability of basalt fiber concrete. The durability evaluation index (CDI) formula is as follows:

[0076]

[0077] Where K is the total number of durability indicators considered (such as impermeability, freeze-thaw resistance, chemical corrosion resistance, etc.); wk is the weight of the k-th durability indicator, determined by the entropy weight method; Sk is the standard score of the k-th durability indicator, which is used to eliminate the influence of different indicator dimensions, taking into account the interaction between different natural factors and basalt fiber dosage, providing a more comprehensive durability evaluation, and using a nonlinear model to simulate the influence of natural factors and dosage on concrete performance, which can more accurately reflect the changes in concrete durability in actual environments;

[0078] As a further implementation of this solution, step VIII includes: constructing a life prediction model based on the GM (1,1) model, and introducing complexity to consider multiple influencing factors, and constructing a structural life prediction model (SLPM) formula:

[0079]

[0080] Where, L is the expected service life of the predicted structure or component; L0 is the theoretical service life of the structure or component under standard conditions; n is the total number of influencing factors considered (such as environmental factors, material properties, use conditions, etc.); ai is the coefficient of the i-th influencing factor, indicating the relative influence of the factor on the life; Ii is the index of the i-th influencing factor, which can be the quantitative value of the environmental factor, the measurement value of the material property or the descriptor of the use condition. The structural life prediction model (SLPM) combines the dynamic prediction ability of the GM (1,1) model with the comprehensive consideration of multiple factors, providing a more accurate and comprehensive life prediction method. By introducing the influencing factor coefficient aiai and the index IiIi, SLPM can capture the changes in the service life of structures or components under various complex environments.

[0081] As a further implementation of this solution, risk assessment and management, based on the above test and analysis results, evaluates the risks that structures or components may face during their expected service life, including durability degradation and mechanical performance degradation caused by environmental factors. Through the performance assessment index (API) and the multi-factor coupled durability index (MDI), this method can comprehensively consider the impact of different environmental factors on the durability of concrete, as well as the nonlinear effect of basalt fiber content on performance. This comprehensive assessment provides a scientific basis for the long-term stability and durability of concrete structures. Using the structural life prediction model (SLPM) and the durability evaluation index (CDI) determined by the entropy weight method, this method can predict the expected service life of concrete structures or components and conduct risk assessment. This enables engineers to identify potential risks in advance and take corresponding management measures, thereby reducing maintenance costs and improving the economic benefits of the structure.

[0082] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. The durability analysis method of basalt fiber concrete under multiple natural factor responses includes determining the analysis target and environmental conditions, defining the basalt fiber concrete structure or component to be analyzed, determining the main natural factors affecting the durability of concrete, temperature, humidity, chemical erosion, freeze-thaw cycle, and performing the following steps: I. Material properties and mix design II. Preparation of concrete specimens III. Conduct mechanical properties test IV. Durability Test V. Data Collection and Analysis VI. Multi-factor coupling analysis VII. Durability evaluation VIII. Lifespan prediction.

2. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to claim 1 is characterized in that: The step I comprises: providing a quantitative method to evaluate the balance and effect of different mix ratios according to the dosage of basalt fiber, water-cement ratio, aggregate ratio and additive ratio, and the mix index (CI) formula is as follows: CI=a·BFI+b·W / C+c·AG+d·A In the formula, BFI (basalt fiber content index): BFI = VBF / Vtotal, VBF is the volume of basalt fiber, Vtotal is the total volume of concrete; W / C (water-cement ratio): W / C = mwater / mcement+madmixtures, mwater is the mass of water, mcement is the mass of cement, madmixtures is the mass of mineral admixtures; AG (aggregate ratio): AG = magnetate / mtotal_concrete, magnetate is the total mass of aggregate, mtotal_concrete is the total mass of concrete; A (additive ratio): A = madmixtures / mcement, madmixtures is the mass of additives; a, b, c, d are weight coefficients, which are used to indicate the importance of different factors in the comprehensive mix index.

3. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to any one of claims 1-2, characterized in that: The step II includes: evaluating the quality of the concrete specimen preparation according to the amount of basalt fiber, the basic composition ratio of concrete and the standard size of the specimen. The calculation formula for evaluating the quality of the concrete specimen preparation is as follows: QI=α·BFR+β·CR+γ·SR+δ·DIM Wherein, BFR (basalt fiber content ratio): BFR = mBF / mtotal, mBF is the mass of basalt fiber, mtotal is the total mass of concrete specimen; CRCR (cementitious material ratio): CR = mcement / mtotal, mcement is the mass of cement; SRSR (sand ratio, the total ratio of fine aggregate to coarse aggregate): SR = mfine + mcoarse / mtotal, mfine is the mass of fine aggregate, mcoarse is the mass of coarse aggregate; DIM (specimen size normalization factor): DIM = Dspec / Dactual, Dspec is the specified standard size, Dactual is the size of the actual specimen; α, β, γ, δ are weight coefficients used to adjust the contribution of each parameter to QIQI according to importance.

4. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to any one of claims 1 to 3, characterized in that: The step III comprises: performing mechanical property tests on the concrete according to its compressive strength, flexural strength and tensile strength. The mechanical property index (MPI) formula is as follows: MPI=w1·fc+w2·ft+w3·fs In the formula, the mechanical property index (MPI) formula is: MPI = w1·fc+w2·ft+w3·fs; c is the compressive strength of concrete, ftft is the flexural strength of concrete; fsfs is the tensile strength of concrete (for example, obtained by splitting tensile strength test); w1, w2, w3w1, w2, w3 are weight coefficients; used to make adjustments based on the importance of different mechanical properties in concrete applications.

5. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to any one of claims 1 to 4, characterized in that: The step IV comprises: performing durability test according to the concrete's impermeability, freeze-thaw resistance and chemical corrosion resistance, and the durability index (DI) formula is as follows: Where P is the impermeability of concrete, expressed in terms of penetration height; F is the freeze-thaw resistance of concrete, expressed in terms of the number of freeze-thaw cycles; E is the chemical corrosion resistance of concrete, expressed in terms of corrosion degree; kP, kF, kE are coefficients related to durability performance, which are used to adjust the impact intensity of different durability indicators; and e is the base of the natural logarithm (approximately equal to 2.71828).

6. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to any one of claims 1 to 5, characterized in that: The step V includes: analyzing the influence of basalt fiber dosage on the mechanical properties and durability of concrete, and determining the optimal dosage, using nonlinear weighting to reflect the potential changes in performance under different dosages, and performing performance evaluation index evaluation. The performance evaluation index (API) formula is as follows: API = ∑i = 1n(wi·f(xi)) Where wi is the weight coefficient of the i-th performance index, which is adjusted according to the importance of the performance index; f(xi) is the nonlinear function of the performance index xixi, which is used to simulate the influence of basalt fiber content on the performance; n is the total number of performance indicators considered.

7. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to any one of claims 1 to 6, characterized in that: The step VI includes: considering the influence of different environmental factors on the durability of concrete, and using a nonlinear model to reflect the interaction of these factors, and evaluating the multi-factor coupling durability index. The multi-factor coupling durability index (MDI) formula is as follows: MDI=g(∑j=1m(∑i=1nwij·fij(xi,ej))) where n is the total number of performance indicators considered (such as compressive strength, flexural strength, impermeability, etc.); m is the total number of natural factors considered (such as salt erosion, dry-wet cycles, etc.); wij is the weight coefficient of the ith performance indicator under the jjth natural factor; fij(xi,ej) is the nonlinear function of the performance indicator xixi under the influence of the natural factor ej; g(·) is a comprehensive function used to integrate the coupling effects of all performance indicators and natural factors.

8. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to any one of claims 1 to 7, characterized in that: The step VII includes: using the entropy weight method to determine the weight of each durability index, and combining multi-factor coupling analysis to evaluate the durability of basalt fiber concrete. The durability evaluation index (CDI) formula is as follows: Where K is the total number of durability indicators considered (such as impermeability, freeze-thaw resistance, chemical corrosion resistance, etc.); wk is the weight of the kth durability indicator, determined by the entropy weight method; Sk is the standard score of the kth durability indicator, which is used to eliminate the influence of different indicator dimensions.

9. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to any one of claims 1 to 8, characterized in that: The step VIII includes: constructing a life prediction model based on the GM (1,1) model, and introducing complexity to consider multiple influencing factors, and constructing a structural life prediction model (SLPM) formula: Where, L is the expected service life of the predicted structure or component; L0 is the theoretical service life of the structure or component under standard conditions; n is the total number of influencing factors considered (such as environmental factors, material properties, usage conditions, etc.); ai is the coefficient of the i-th influencing factor, indicating the relative influence intensity of the factor on the life; Ii is the indicator of the i-th influencing factor, which can be a quantitative value of the environmental factor, a metric value of the material property, or a descriptor of the usage conditions.

10. The durability analysis method of basalt fiber concrete under multiple natural factor responses according to any one of claims 1 to 9, characterized in that: Risk assessment and management, based on the above test and analysis results, evaluates the risks that structures or components may face during their expected service life, including durability degradation and mechanical property degradation caused by environmental factors.

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