Remodeled loess structure stability evaluation method and device based on micro-pore parameters

Abstract

The invention provides a remodeled loess structure stability evaluation method and device based on micro-pore parameters. The method comprises the steps that the micro-pore parameters of a to-be-evaluated remodeled loess sample are obtained; based on an analytic hierarchy process and the micro-pore parameters, establishing a remodeled loess structure stability evaluation hierarchical model; based on the positive and negative attributes of the influence of the microcosmic pore parameters on the stability of the remolded loess structure, the microcosmic pore parameters are subjected to standardization processing, and standardized microcosmic pore parameters are obtained; calculating subjective and objective weights of the standardized micro-pore parameters, and carrying out weight combination on the weights to obtain a combined weight value; calculating corresponding membership degrees of the remodeled loess under different dry densities on the basis of a preset weight sum algorithm, the combined weight values and the standardized micro-pore parameters to obtain a comprehensive evaluation set; and based on the remodeled loess structural stability evaluation hierarchical model, adopting a Z-type membership function to perform refined processing on the comprehensive evaluation set, and evaluating the structural stability of the remodeled loess with different dry densities.

Description

Technical Field

[0001] The embodiments of the present invention relate to the field of geotechnical engineering safety evaluation, and relate to but are not limited to a method and device for evaluating the stability of remodeled loess structure based on microscopic pore parameters. Background Art

[0002] Loess is a yellow silt sediment widely distributed around the world. The Loess Plateau of China is the area with the widest distribution and thickest loess. In order to ensure the safety of loess engineering construction, it is very important to evaluate the structural stability of reshaped loess. The stability of the reshaped loess structure will be affected by many microscopic pore parameters. A large amount of microscopic pore information will make the evaluation results more uncertain.

[0003] At present, there are many related studies on the stability evaluation of reshaped loess structure, but the shortcomings are as follows: in the previous loess structure stability evaluation system, managers were often provided with a qualitative evaluation result, which caused a large amount of information loss in understanding the stability of the reshaped loess structure; secondly, in actual situations, the microscopic pore structure of loess is not fixed, but has a complex evolution pattern. The existing evaluation methods cannot clearly define the stability of the reshaped loess structure based on quantitative pore parameters, which brings uncertainty to the evaluation results. Summary of the invention

[0004] Based on the problems in the related art, an embodiment of the present invention provides a method and device for evaluating the stability of reshaped loess structure based on microscopic pore parameters, which solves the problem of inaccuracy in the existing loess structure stability evaluation method.

[0005] The technical solution of the embodiment of the present invention is achieved as follows:

[0006] In a first aspect, an embodiment of the present invention provides a method for evaluating the stability of remodeled loess structure based on microscopic pore parameters, the method comprising:

[0007] Obtain the microscopic pore parameters of the reshaped loess sample to be evaluated;

[0008] Based on the analytic hierarchy process and the microscopic pore parameters, a hierarchical model for evaluating the stability of remodeled loess structure is established;

[0009] Based on the positive and negative properties of the microscopic pore parameters affecting the structural stability of the remodeled loess, the microscopic pore parameters are standardized to obtain standardized microscopic pore parameters;

[0010] Calculating the subjective and objective weights of the standardized microscopic pore parameters, and weight combining the weights to obtain a combined weight value;

[0011] Based on a preset weighted summation algorithm, the combined weight value and the standardized microscopic pore parameters, the corresponding membership of the reshaped loess at different dry densities is calculated to obtain a comprehensive evaluation set;

[0012] Based on the hierarchical model for evaluating the structural stability of reshaped loess, the Z-type membership function is used to refine the comprehensive evaluation set to evaluate the structural stability of reshaped loess with different dry densities.

[0013] In a second aspect, an embodiment of the present invention provides a device for evaluating the stability of remodeled loess structure based on microscopic pore parameters, the device comprising:

[0014] An acquisition module is used to obtain the microscopic pore parameters of the reshaped loess sample to be evaluated;

[0015] Establishing a module for establishing a hierarchical model for evaluating the stability of remodeled loess structure based on the analytic hierarchy process and the microscopic pore parameters;

[0016] A processing module, for performing standardization processing on the microscopic pore parameters based on the positive and negative properties of the microscopic pore parameters affecting the stability of the remodeled loess structure, to obtain standardized microscopic pore parameters;

[0017] A calculation module, used for calculating the subjective and objective weights of the standardized microscopic pore parameters, and combining the weights to obtain a combined weight value;

[0018] The calculation module is further used to calculate the corresponding membership of the reshaped loess at different dry densities based on a preset weight addition algorithm, the combined weight value and the standardized microscopic pore parameter to obtain a comprehensive evaluation set;

[0019] The evaluation module is used to refine the comprehensive evaluation set based on the hierarchical model for evaluating the structural stability of reshaped loess by using a Z-type membership function to evaluate the structural stability of reshaped loess with different dry densities.

[0020] In some embodiments, the microscopic pore parameters include: small pore area ratio, large pore area ratio, average pore perimeter, pore roundness, pore convexity, pore fractal dimension, pore maximum directional frequency, pore anisotropy ratio, and pore directional probability entropy.

[0021] In some embodiments, the hierarchical model for evaluating the structural stability of reshaped loess includes at least a target layer, a criterion layer and an indicator layer; wherein the target layer is the structural stability of the reshaped loess sample; the criterion layer includes the pore size characteristics, pore morphology characteristics and pore arrangement characteristics of the reshaped loess sample; the indicator layer includes the small pore area ratio, large pore area ratio, average pore circumference, pore roundness, pore convexity, pore fractal dimension, pore maximum directional frequency, pore anisotropy ratio, and pore directional probability entropy.

[0022] In some embodiments, the processing module is further used to perform positive processing on the microscopic pore parameters with positive attributes and negative processing on the microscopic pore parameters with negative attributes based on a preset standardized calculation function to obtain the standardized microscopic pore parameters; wherein the formula for the standardized processing is:

[0023]

[0024] In the formula, x mn represents the value of the porosity index n on the mth evaluation object, n = 1, 2, ..., 9; m is the number of reshaped loess samples with different dry densities, m = 1, 2, ..., 8; Xmn is the standardized microscopic pore parameter data.

[0025] In some embodiments, the calculation module is further used to calculate the subjective weight of the standardized microscopic pore parameter based on a preset simulation scoring algorithm and a preset analysis hierarchy method, and perform consistency check on the subjective weight; calculate the objective weight of the standardized microscopic pore parameter based on a preset application entropy weight method; and perform weight combination of the subjective weight and the objective weight based on a preset game theory method to obtain the combined weight value;

[0026] Wherein, the subjective weight is expressed as:

[0027]

[0028] In the formula, w n is the weight of the nth pore index, w i is the normalized subjective weight of the nth porosity index;

[0029] The objective weight is expressed as:

[0030]

[0031] Where P nm is the proportion of the mth sample with the nth porosity index, e n is the entropy value of the nth pore index, w j is the normalized subjective and objective weight of the nth porosity index;

[0032] The combined weight value can be expressed as:

[0033]

[0034] Where α1 is the subjective weight coefficient, α2 is the objective weight coefficient, and W is the combined weight value.

[0035] In some embodiments, the Z-type membership function is expressed as:

[0036]

[0037] Where y is the membership function, x is the dry density of the loess sample, a and b are the upper and lower limits of the dry density of the reshaped loess, respectively. The dry density of natural loess ranges from 1.29 to 1.80 g cm -3 Therefore, a=1.29, b=1.80.

[0038] In a third aspect, an embodiment of the present invention provides a device for evaluating the stability of a reshaped loess structure based on microscopic pore parameters, comprising: a memory for storing executable instructions; and a processor for implementing the above-mentioned method for evaluating the stability of a reshaped loess structure based on microscopic pore parameters when executing the executable instructions stored in the memory.

[0039] In a fourth aspect, an embodiment of the present invention provides a computer-readable storage medium storing executable instructions for causing a processor to execute the executable instructions to implement the above-mentioned method for evaluating the stability of remodeled loess structure based on microscopic pore parameters.

[0040] The embodiment of the present invention provides a method and device for evaluating the stability of remodeled loess structure based on microscopic pore parameters, which obtains microscopic pore parameter data of loess samples for evaluation; establishes a hierarchical model for evaluating the stability of remodeled loess structures; performs data standardization processing according to the positive and negative attributes of the pore parameters affecting the stability of the soil structure; calculates the subjective and objective weights of the pore parameters, and applies the game theory calculation formula to perform weight combination; calculates the membership corresponding to loess with different dry densities according to the weight addition formula, and obtains a comprehensive evaluation set; uses a Z-type membership function to refine the comprehensive evaluation set, and evaluates the stability of remodeled loess structures with different dry densities according to the interval to which the membership of the dry density belongs. In this way, the present invention takes into account the differences and complexity of the microscopic pore parameters of loess with different dry densities, and adopts the hierarchical analysis method and the entropy weight method to determine the subjective and objective weights of the pore parameters of loess with different dry densities, so that the combined weight calculation results are more representative and scientific; the Z-type membership function is applied to correspond to the loess dry density interval (domain), and then the membership interval is divided, which not only selects the most suitable function from many membership functions, but also makes the membership function have the background properties of loess dry density, thereby quantifying the influence of loess density on its structural stability, and more accurately evaluating the stability of the loess structure reshaped by different dry densities. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 It is a flow chart of a method for evaluating the stability of remodeled loess structure based on microscopic pore parameters provided by an embodiment of the present invention;

[0042] Figure 2 It is a flow chart of a comprehensive evaluation method for structural stability of remodeled loess based on microscopic pore parameters provided by an embodiment of the present invention;

[0043] Figure 3 A schematic diagram of the composition structure of a device for evaluating the structural stability of remodeled loess based on microscopic pore parameters provided by an embodiment of the present invention;

[0044] Figure 4 A schematic diagram of the composition structure of a device for evaluating the structural stability of remodeled loess based on microscopic pore parameters provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0045] In order to make the purpose, technical solutions and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings. The described embodiments should not be regarded as limiting the present invention. All other embodiments obtained by ordinary technicians in the field without making creative work are within the scope of protection of the present invention.

[0046] In the following description, reference is made to "some embodiments", which describe a subset of all possible embodiments, but it is understood that "some embodiments" may be the same subset or different subsets of all possible embodiments, and may be combined with each other without conflict. Unless otherwise defined, all technical and scientific terms used in the embodiments of the present invention have the same meaning as those commonly understood by those skilled in the art to which the embodiments of the present invention pertain. The terms used in the embodiments of the present invention are only for the purpose of describing the embodiments of the present invention and are not intended to limit the present invention.

[0047] The following describes an exemplary application of the remodeled loess structure stability evaluation device based on microscopic pore parameters of an embodiment of the present invention. The remodeled loess structure stability evaluation device based on microscopic pore parameters provided by the embodiment of the present invention can be implemented as a terminal or a server. In one implementation, the remodeled loess structure stability evaluation device based on microscopic pore parameters provided by the embodiment of the present invention can be implemented as various types of terminals such as laptops, tablet computers, desktop computers, mobile devices, etc.; in another implementation, the remodeled loess structure stability evaluation device based on microscopic pore parameters provided by the embodiment of the present invention can also be implemented as a server, wherein the server can be an independent physical server, or a server cluster or distributed system composed of multiple physical servers, or a cloud server that provides basic cloud computing services such as cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communications, middleware services, domain name services, security services, content distribution networks (CDN, Content Delivery Network), and big data and artificial intelligence platforms. The terminal and the server can be directly or indirectly connected by wired or wireless communication, which is not limited in the embodiment of the present invention. Below, an exemplary application of the remodeled loess structure stability evaluation device based on microscopic pore parameters when implemented as a server will be described.

[0048] The present invention provides a method for evaluating the structural stability of remodeled loess based on microscopic pore parameters. Figure 1 , Figure 1 is a flow chart of a method for evaluating the stability of remodeled loess structure based on microscopic pore parameters provided by an embodiment of the present invention, which is combined with Figure 1 The steps shown are explained.

[0049] Step S110, obtaining microscopic pore parameters of the reshaped loess sample to be evaluated.

[0050] In some embodiments, reshaped loess refers to loess that has been reshaped by artificial methods, which is used here to simulate the behavior of natural loess under specific conditions or for laboratory testing.

[0051] In some embodiments, microscopic pore parameters refer to parameters that describe the internal pore structure characteristics of loess, and these parameters can be used to evaluate the permeability, strength, deformation and other characteristics of loess. In the present invention, microscopic pore parameters may include small pore area ratio, large pore area ratio, average pore perimeter, pore roundness, pore convexity, pore fractal dimension, pore maximum directional frequency, pore anisotropy ratio, and pore directional probability entropy.

[0052] Step S120, based on the hierarchical analysis method and the microscopic pore parameters, a hierarchical model for evaluating the stability of the remodeled loess structure is established.

[0053] In some embodiments, the analytic hierarchy process refers to a decision analysis method that decomposes a complex problem into multiple components, forms an orderly hierarchical structure according to the logical relationship between these factors, and then determines the relative importance of the factors in the hierarchy by comparing them two by two, and finally comprehensively judges the relative importance of each factor.

[0054] In some embodiments, the hierarchical model for evaluating the stability of remodeled loess structures refers to a multi-level model for evaluating the stability of remodeled loess structures.

[0055] Step S130, based on the positive and negative properties of the microscopic pore parameters affecting the stability of the remodeled loess structure, the microscopic pore parameters are standardized to obtain standardized microscopic pore parameters.

[0056] In some embodiments, the positive attribute of the microscopic pore parameters on the structural stability of the remodeled loess refers to that some microscopic pore parameters (such as moderate porosity and good pore connectivity) are helpful to improve the permeability and drainage of loess, thereby enhancing the structural stability. The negative attribute of the microscopic pore parameters on the structural stability of the remodeled loess refers to that the porosity is too high or too low, the pore diameter is too large or too small, and the pore distribution is uneven, which may lead to a decrease in the mechanical properties of the loess, such as reduced strength and increased deformation, thereby having an adverse effect on the structural stability.

[0057] Step S140, calculating the subjective and objective weights of the standardized microscopic pore parameters, and weight combining the weights to obtain a combined weight value.

[0058] In some embodiments, the weight of each standardized microscopic pore parameter can be calculated by using the analytical hierarchy process; the weight of each standardized microscopic pore parameter can also be calculated by using the entropy weight method; and the weight of each standardized microscopic pore parameter is not calculated by using the factor analysis method. The embodiment of the present application does not specifically limit the method for calculating the weight.

[0059] In some embodiments, the weight of the normalized microscopic pore parameter may include an objective weight and a subjective weight.

[0060] In the present invention, the objective weights of the standardized microscopic pore parameters can be calculated by using a preset simulation scoring algorithm and a preset analysis hierarchy method, and the objective weights of the standardized microscopic pore parameters can be calculated by using an entropy weight method; after obtaining the objective weight and subjective weight of each pore parameter, these weights need to be combined to obtain a combined weight value. Here, the combination method may include weighted average, geometric average, fuzzy comprehensive evaluation, etc. The embodiment of the present application does not specifically limit the combination method.

[0061] Step S150, based on a preset weight addition algorithm, the combined weight value and the standardized microscopic pore parameter, the corresponding membership of the reshaped loess at different dry densities is calculated to obtain a comprehensive evaluation set.

[0062] In the present invention, a comprehensive evaluation index can be formed based on a preset weight addition algorithm, a combined weight value and standardized microscopic pore parameters.

[0063] Step S160, based on the hierarchical model for evaluating the structural stability of reshaped loess, a Z-type membership function is used to refine the comprehensive evaluation set to evaluate the structural stability of reshaped loess with different dry densities.

[0064] In some embodiments, based on the hierarchical model for evaluating the structural stability of reshaped loess, a Z-type membership function can be used to refine the comprehensive evaluation set. The Z-type membership function is usually used to describe the degree of membership of an element in a fuzzy set to a specific attribute, and its shape is similar to the letter "Z". Through the Z-type membership function, the membership value can be mapped to a finer interval, thereby more accurately evaluating the structural stability of reshaped loess with different dry densities. For example, different membership thresholds can be set to divide the level of structural stability (such as stable, relatively stable, unstable, etc.).

[0065] The embodiment of the present invention provides a method for evaluating the stability of remodeled loess structure based on microscopic pore parameters, which obtains microscopic pore parameter data of evaluated loess samples; establishes a hierarchical model for evaluating the stability of remodeled loess structures; performs data standardization processing according to the positive and negative attributes of the pore parameters affecting the stability of the soil structure; calculates the subjective and objective weights of the pore parameters, and applies the game theory calculation formula to perform weight combination; calculates the membership corresponding to loess with different dry densities according to the weight addition formula, and obtains a comprehensive evaluation set; uses a Z-type membership function to refine the comprehensive evaluation set, and evaluates the stability of remodeled loess structures with different dry densities according to the interval to which the membership of the dry density belongs. In this way, the present invention takes into account the differences and complexity of the microscopic pore parameters of loess with different dry densities, and adopts the hierarchical analysis method and the entropy weight method to determine the subjective and objective weights of the pore parameters of loess with different dry densities, so that the combined weight calculation results are more representative and scientific; the Z-type membership function is applied to correspond to the loess dry density interval (domain), and then the membership interval is divided, which not only selects the most suitable function from many membership functions, but also makes the membership function have the background properties of loess dry density, thereby quantifying the influence of loess density on its structural stability, and more accurately evaluating the stability of the loess structure reshaped by different dry densities.

[0066] In some embodiments, the above-mentioned microscopic pore parameters include: small pore area ratio, large pore area ratio, average pore circumference, pore roundness, pore convexity, pore fractal dimension, pore maximum directional frequency, pore anisotropy ratio, and pore directional probability entropy.

[0067] In some embodiments, the above-mentioned hierarchical model for evaluating the structural stability of reshaped loess includes at least a target layer, a criterion layer and an indicator layer; wherein, the target layer is the structural stability of the reshaped loess sample; the criterion layer includes the pore size characteristics, pore morphology characteristics and pore arrangement characteristics of the reshaped loess sample; the indicator layer includes the small pore area ratio, large pore area ratio, average pore circumference, pore roundness, pore convexity, pore fractal dimension, pore maximum directional frequency, pore anisotropy ratio, and pore directional probability entropy.

[0068] In some embodiments, the above step S130 may be performed by:

[0069] Based on a preset standardized calculation function, a microscopic pore parameter with a positive attribute is positively processed, and a microscopic pore parameter with a negative attribute is negatively processed to obtain the standardized microscopic pore parameter;

[0070] The formula for standardization is:

[0071]

[0072] In the formula, x mn represents the value of the porosity index n on the mth evaluation object, n = 1, 2, ..., 9; m is the number of remolded loess samples with different dry densities, m = 1, 2, ..., 8; Xmn is the standardized microscopic pore parameter data.

[0073] In some embodiments, the above step S140 may be implemented through steps S141 to S144:

[0074] Step S141, based on a preset simulation scoring algorithm and a preset analysis hierarchy process, the subjective weight of the standardized microscopic pore parameter is calculated, and a consistency check is performed on the subjective weight.

[0075] Step S142, calculating the objective weight of the standardized microscopic pore parameters based on a preset application entropy weight method.

[0076] Step S143, based on a preset game theory method, weight-combining the subjective weight and the objective weight to obtain the combined weight value;

[0077] Wherein, the subjective weight is expressed as:

[0078]

[0079] In the formula, w n is the weight of the nth pore index, w i is the normalized subjective weight of the nth porosity index;

[0080] The objective weight is expressed as:

[0081]

[0082] Where P nm is the proportion of the mth sample with the nth porosity index, e n is the entropy value of the nth pore index, w j is the normalized subjective and objective weight of the nth porosity index;

[0083] The combined weight value can be expressed as:

[0084]

[0085] Where α1 is the subjective weight coefficient, α2 is the objective weight coefficient, and W is the combined weight value.

[0086] In some embodiments, the Z-type membership function is expressed as:

[0087]

[0088] Where y is the membership function, x is the dry density of the loess sample, a and b are the upper and lower limits of the dry density of the reshaped loess, respectively. The dry density of natural loess ranges from 1.29 to 1.80 g cm -3 Therefore, a=1.29, b=1.80.

[0089] The following describes an exemplary application of an embodiment of the present invention in a practical application scenario.

[0090] The present invention provides a comprehensive evaluation method for the structural stability of remodeled loess based on microscopic pore parameters, such as Figure 2 As shown, the specific implementation steps are as follows:

[0091] Step 1: Obtain the microscopic pore parameter data x of the loess sample for evaluation mn , pore parameters include small pore area ratio PAR M , macropore area ratio PAR M , average pore perimeter P A-pore , pore circularity, pore convexity, pore fractal dimension D, pore maximum directional frequency F max , pore anisotropy ratio I, pore direction probability entropy H m ; The pore parameter data is obtained through actual measurement.

[0092] Step 2: Based on the concept of hierarchical analysis (AHP), a hierarchical model for evaluating the structural stability of reshaped loess is established. The target layer of the hierarchical model is the structural stability of the loess sample; the criterion layer includes the pore size characteristics, pore morphology characteristics, and pore arrangement characteristics of the loess sample; the indicator layer includes PAR S , PAR M , P A-pore ,circularity,convexity,D,F max ,I,H m .

[0093] Step 3: According to the positive and negative properties of the pore parameters affecting the soil structure stability, data standardization is performed to obtain standardized data Xmn; the positive pore parameters include AR M , P A-pore ,circularity,convexity,F max , I, negative pore parameters include PAR S , D, H m .

[0094] Step 4, calculate the subjective and objective weights of the pore parameters, and use the game theory calculation formula to combine the weights; use Yaahp software simulation and hierarchy analysis method (AHP) to calculate the subjective weights of the pore parameters, use the entropy weight method (EM) to calculate the objective weights of the pore parameters, and combine the subjective and objective weights based on game theory.

[0095] Step 5: Calculate the membership degree Bm corresponding to loess with different dry densities according to the weighted sum formula to obtain the comprehensive evaluation set B.

[0096] Step 6: Apply the Z-type membership function program of MATLAB software to refine the comprehensive evaluation set, and evaluate the stability of the reshaped loess structure with different dry densities according to the membership interval of the dry density. The specific calculation process is as follows:

[0097] Data standardization:

[0098]

[0099] In the formula, x mn represents the value of the porosity index n on the mth evaluation object, n = 1, 2, ..., 9; m is the number of remolded loess samples with different dry densities, m = 1, 2, ..., 8; Xmn is the standardized microscopic pore parameter data.

[0100] Calculation of subjective weights of AHP microscopic pore parameters:

[0101] Yaahp software was used to simulate expert scoring, determine the judgment matrix R', and calculate the subjective weight based on the judgment matrix:

[0102]

[0103] In the formula, w n is the weight of the nth pore index, w i is the normalized subjective weight of the nth porosity index.

[0104] Perform consistency check on the obtained subjective weights:

[0105]

[0106] In the formula, λ max is the maximum eigenvalue, w' is λ max , CI is the consistency index, RI is the average value of the consistency test index, and when CR<0.1, the consistency test passes.

[0107] Objective weight calculation of EM microscopic pore parameters:

[0108]

[0109] Where P nm is the proportion of the mth sample with the nth porosity index, e n is the entropy value of the nth pore index, w j is the normalized subjective and objective weight of the nth pore index.

[0110] Combination weight value calculation:

[0111]

[0112] Where α1 is the subjective weight coefficient, α2 is the objective weight coefficient, and W is the combined weight value.

[0113] Calculate the membership value of each dry density loess sample:

[0114]

[0115] Where Wn is the combined weight value of the nth sample.

[0116] The Z-type membership function performs fine processing on the comprehensive evaluation set:

[0117]

[0118] Where y is the membership function, x is the dry density of the loess sample, a and b are the upper and lower limits of the dry density of the reshaped loess, respectively. The dry density of natural loess ranges from 1.29 to 1.80 g cm-3 Therefore, a=1.29, b=1.80.

[0119] The present invention provides an embodiment, in which Malan loess in the southern tableland of Jingyang, Shaanxi Province is selected as the raw material for evaluating the stability of remodeled loess;

[0120] Jingyang County is located in the northwest of Xi'an City, Shaanxi Province, 54km away from Xi'an City, with a total area of ​​about 780km 2 Under the influence of long-term human engineering activities and external dynamic geological effects, the structural integrity of the rock and soil in the area is poor, which is prone to cause geological disasters such as landslides, mud-rock flows, collapses, and ground subsidence.

[0121] Step 1: Prepare samples with dry densities of 1.30, 1.35, 1.40, 1.45, 1.50, 1.55, 1.60 and 1.65 g·cm -3 The reshaped loess samples were used to obtain 9 microscopic pore parameters PAR at different dry densities. S , PAR M , P A-pore ,circularity,convexity,D,F max ,I,H m , the number of samples is 72.

[0122] Step 2: Based on the concept of hierarchical analysis (AHP), a hierarchical model for evaluating the structural stability of reshaped loess is established. The target layer of the hierarchical model is the structural stability of the loess sample; the criterion layer includes the pore size characteristics, pore morphology characteristics, and pore arrangement characteristics of the loess sample; the indicator layer includes PAR S , PAR M , P A-pore ,circularity,convexity,D,F max ,I,H m .

[0123] Step 3: According to the positive and negative properties of the pore parameters affecting the soil structure stability, data standardization is performed to obtain standardized data Xmn.

[0124] Step 4: Yaahp software simulation and analytic hierarchy process (AHP) are used to calculate the subjective weights of pore parameters, and entropy weight method (EM) is used to calculate the objective weights of pore parameters. The subjective and objective weights are combined based on game theory. The combined weight results of pore parameters are shown in Table 1:

[0125] Table 1 Statistical table of combined weights of reshaped loess pore parameters

[0126] <![CDATA[PAR S ]]> <![CDATA[PAR M ]]> <![CDATA[P A-pore ]]> Circularity Convexity D <![CDATA[F max ]]> I <![CDATA[H m ]]> 10.5％ 16.8％ 33.3％ 5.06％ 2.77％ 2.08％ 8.79％ 1.40％ 19.3％

[0127] Step 5: Calculate the membership degree Bm corresponding to loess with different dry densities according to the weighted summation formula to obtain the comprehensive evaluation set B, as shown in Table 2:

[0128] Table 2 Comprehensive evaluation set data table

[0129] Dry density 1.30 1.35 1.40 1.45 1.50 1.55 1.60 1.65 <![CDATA[B m ]]> 0.923 0.883 0.466 0.288 0.174 0.097 0.150 0.092

[0130] Step 6: Apply the Z-type membership function program of MATLAB software to refine the comprehensive evaluation set. According to the membership interval of dry density, the stability of the reshaped loess structure with different dry densities is evaluated. The classification standard of the structural stability of loess samples is shown in Table 3:

[0131] Table 3 Classification standard of structural stability of loess samples

[0132] Stability classification Unstable structure Medium stable structure Strong and stable structure Membership interval <![CDATA[1.00≥B m ≥0.860]]> <![CDATA[0.860>B m ≥0.308]]> <![CDATA[0.308>B m ≥0]]>

[0133] Calculation results:

[0134] For the mth loess sample, according to the calculated membership, when the membership value is in the interval [0, 0.308), the soil structure has strong stability; when the membership value is in the interval [0.308, 0.860), the soil structure has moderate stability; when the membership value is in the interval [0.860, 1.00], the soil structure has weak stability; the calculation results show that the dry density is 1.30, 1.35 g·cm -3 The structure of the reshaped loess sample is weakly stable; the dry density is 1.40 g·cm -3 The structure of the reshaped loess samples is of medium stability; the dry density is 1.45, 1.50, 1.55, 1.60, 1.65 g·cm -3 The structure of the reshaped loess sample is strong and stable.

[0135] Figure 3 : is a schematic diagram of the composition structure of a device for evaluating the stability of remodeled loess structure based on microscopic pore parameters provided by an embodiment of the present invention, such as Figure 3As shown, the remodeled loess structural stability evaluation device 300 based on microscopic pore parameters includes: an acquisition module 301, used to acquire the microscopic pore parameters of the remodeled loess sample to be evaluated; an establishment module 302, used to establish a hierarchical model for evaluating the structural stability of remodeled loess based on the hierarchical analysis method and the microscopic pore parameters; a processing module 303, used to standardize the microscopic pore parameters based on the positive and negative attributes of the microscopic pore parameters affecting the structural stability of the remodeled loess, and obtain the standardized microscopic pore parameters; a calculation module 304, used to calculate the subjective and objective weights of the standardized microscopic pore parameters, and weight-combine the weights to obtain a combined weight value; the calculation module 304, further used to calculate the corresponding membership of the remodeled loess at different dry densities based on a preset weight addition algorithm, the combined weight value and the standardized microscopic pore parameters, and obtain a comprehensive evaluation set; an evaluation module 305, used to refine the comprehensive evaluation set based on the hierarchical model for evaluating the structural stability of the remodeled loess using a Z-type membership function, and evaluate the structural stability of the remodeled loess at different dry densities.

[0136] In some embodiments, the microscopic pore parameters include: small pore area ratio, large pore area ratio, average pore perimeter, pore roundness, pore convexity, pore fractal dimension, pore maximum directional frequency, pore anisotropy ratio, and pore directional probability entropy.

[0137] In some embodiments, the hierarchical model for evaluating the structural stability of reshaped loess includes at least a target layer, a criterion layer and an indicator layer; wherein the target layer is the structural stability of the reshaped loess sample; the criterion layer includes the pore size characteristics, pore morphology characteristics and pore arrangement characteristics of the reshaped loess sample; the indicator layer includes the small pore area ratio, large pore area ratio, average pore circumference, pore roundness, pore convexity, pore fractal dimension, pore maximum directional frequency, pore anisotropy ratio, and pore directional probability entropy.

[0138] In some embodiments, the processing module 303 is further used to perform positive processing on the microscopic pore parameters with positive attributes and negative processing on the microscopic pore parameters with negative attributes based on a preset standardized calculation function to obtain the standardized microscopic pore parameters; wherein the formula for the standardized processing is:

[0139]

[0140] In the formula, x mn represents the value of the porosity index n on the mth evaluation object, n = 1, 2, ..., 9; m is the number of remolded loess samples with different dry densities, m = 1, 2, ..., 8; Xmn is the standardized microscopic pore parameter data.

[0141] In some embodiments, the calculation module 304 is further used to calculate the subjective weight of the standardized microscopic pore parameter based on a preset simulation scoring algorithm and a preset analysis hierarchy method, and perform consistency check on the subjective weight; calculate the objective weight of the standardized microscopic pore parameter based on a preset application entropy weight method; and perform weight combination on the subjective weight and the objective weight based on a preset game theory method to obtain the combined weight value;

[0142] Wherein, the subjective weight is expressed as:

[0143]

[0144] In the formula, w n is the weight of the nth pore index, w i is the normalized subjective weight of the nth porosity index;

[0145] The objective weight is expressed as:

[0146]

[0147] Where P nm is the proportion of the mth sample with the nth porosity index, e n is the entropy value of the nth pore index, w j is the normalized subjective and objective weight of the nth porosity index;

[0148] The combined weight value can be expressed as:

[0149]

[0150] Where α1 is the subjective weight coefficient, α2 is the objective weight coefficient, and W is the combined weight value.

[0151] In some embodiments, the Z-type membership function is expressed as:

[0152]

[0153] Where y is the membership function, x is the dry density of the loess sample, a and b are the upper and lower limits of the dry density of the reshaped loess, respectively. The dry density of natural loess ranges from 1.29 to 1.80 g cm -3 Therefore, a=1.29, b=1.80.

[0154] It should be noted that the description of the device of the embodiment of the present invention is similar to the description of the above method embodiment, and has similar beneficial effects as the method embodiment, so it is not repeated. For technical details not disclosed in the device embodiment, please refer to the description of the method embodiment of the present invention for understanding.

[0155] It should be noted that, in the embodiment of the present invention, if the above-mentioned method for evaluating the stability of remodeled loess structure based on microscopic pore parameters is implemented in the form of a software function module and sold or used as an independent product, it can also be stored in a computer-readable storage medium. Based on this understanding, the technical solution of the embodiment of the present invention, or the part that contributes to the relevant technology, can be embodied in the form of a software product. The computer software product is stored in a storage medium, including several instructions for enabling a terminal to execute all or part of the methods described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as a U disk, a mobile hard disk, a read-only memory (ROM), a magnetic disk or an optical disk. In this way, the embodiment of the present invention is not limited to any specific combination of hardware and software.

[0156] Correspondingly, an embodiment of the present invention provides a device for evaluating the stability of remodeled loess structure based on microscopic pore parameters. Figure 4 : is a schematic diagram of the composition structure of a device for evaluating the stability of remodeled loess structure based on microscopic pore parameters provided by an embodiment of the present invention, such as Figure 4 As shown, the apparatus 400 for evaluating the structural stability of remodeled loess based on microscopic pore parameters at least includes: a processor 401 and a computer-readable storage medium 402 configured to store executable instructions, wherein the processor 401 generally controls the overall operation of the apparatus 400 for evaluating the structural stability of remodeled loess based on microscopic pore parameters. The computer-readable storage medium 402 is configured to store instructions and applications executable by the processor 401, and can also cache data to be processed or processed by each module in the processor 401 and the apparatus 400 for evaluating the structural stability of remodeled loess based on microscopic pore parameters, which can be implemented by flash memory (FLASH) or random access memory (Random Access Memory, RAM).

[0157] An embodiment of the present invention provides a storage medium storing executable instructions, wherein the executable instructions are stored. When the executable instructions are executed by a processor, the processor will be caused to execute the method provided by the embodiment of the present invention, for example, Figure 1 The method shown.

[0158] In some embodiments, the storage medium can be a computer-readable storage medium, for example, a ferroelectric random access memory (FRAM), a read-only memory (ROM), a programmable read-only memory (PROM), an erasable programmable read-only memory (EPROM), an electrically erasable programmable read-only memory (EEPROM), a flash memory, a magnetic surface memory, an optical disk, or a compact disk read-only memory (CD-ROM), etc.; it can also be various devices including one or any combination of the above memories.

[0159] In some embodiments, executable instructions may be in the form of a program, software, software module, script or code, written in any form of programming language (including compiled or interpreted languages, or declarative or procedural languages), and may be deployed in any form, including as a stand-alone program or as a module, component, subroutine or other unit suitable for use in a computing environment.

[0160] As an example, executable instructions may, but need not necessarily, correspond to a file in a file system, may be stored as part of a file storing other programs or data, for example, in one or more scripts in a Hyper Text Markup Language (HTML) document, in a single file dedicated to the program in question, or in multiple coordinated files (e.g., files storing one or more modules, subroutines, or code portions). As an example, executable instructions may be deployed to be executed on one electronic device, or on multiple electronic devices located at one location, or on multiple electronic devices distributed at multiple locations and interconnected by a communication network.

[0161] The above description is only an embodiment of the present invention and is not intended to limit the protection scope of the present invention. Any modification, equivalent replacement and improvement made within the spirit and scope of the present invention are included in the protection scope of the present invention.

[0162] It should be understood that "one embodiment" or "an embodiment" mentioned throughout the specification means that specific features, structures or characteristics related to the embodiment are included in at least one embodiment of the present invention. Therefore, "in one embodiment" or "in an embodiment" appearing throughout the specification does not necessarily refer to the same embodiment. In addition, these specific features, structures or characteristics can be combined in one or more embodiments in any suitable manner. It should be understood that in various embodiments of the present invention, the size of the serial number of the above-mentioned processes does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention. The serial numbers of the above-mentioned embodiments of the present invention are only for description and do not represent the advantages and disadvantages of the embodiments.

[0163] It should be noted that, in this article, the terms "comprise", "include" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method or device including a series of elements includes not only those elements, but also includes other elements not explicitly listed, or also includes elements inherent to such process, method or device. In the absence of further restrictions, an element defined by the statement "comprises one..." does not exclude the presence of other identical elements in the process, method, article or device including the element. In several embodiments provided by the present invention, it should be understood that the disclosed devices and methods can be implemented in other ways. The device embodiments described above are merely schematic. For example, the division of the units is only a logical function division. There may be other division methods in actual implementation, such as: multiple units or components can be combined, or can be integrated into another system, or some features can be ignored, or not executed.

[0164] The above is only an embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person skilled in the art can easily think of changes or substitutions within the technical scope disclosed by the present invention, which should be included in the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. A method for evaluating the stability of remodeled loess structure based on microscopic pore parameters, characterized in that: The method comprises: Obtain the microscopic pore parameters of the reshaped loess sample to be evaluated; Based on the analytic hierarchy process and the microscopic pore parameters, a hierarchical model for evaluating the stability of remodeled loess structure is established; Based on the positive and negative properties of the microscopic pore parameters affecting the structural stability of the remodeled loess, the microscopic pore parameters are standardized to obtain standardized microscopic pore parameters; Calculating the subjective and objective weights of the standardized microscopic pore parameters, and weight combining the weights to obtain a combined weight value; Based on a preset weighted summation algorithm, the combined weight value and the standardized microscopic pore parameters, the corresponding membership of the reshaped loess at different dry densities is calculated to obtain a comprehensive evaluation set; Based on the hierarchical model for evaluating the structural stability of reshaped loess, the Z-type membership function is used to refine the comprehensive evaluation set to evaluate the structural stability of reshaped loess with different dry densities.

2. The method according to claim 1, characterized in that: The microscopic pore parameters include: small pore area ratio, large pore area ratio, pore average perimeter, pore roundness, pore convexity, pore fractal dimension, pore maximum direction frequency, pore anisotropy ratio, and pore direction probability entropy.

3. The method according to claim 1, characterized in that The hierarchical model for evaluating the structural stability of reshaped loess at least includes a target layer, a criterion layer and an indicator layer; wherein the target layer is the structural stability of the reshaped loess sample; the criterion layer includes the pore size characteristics, pore morphology characteristics and pore arrangement characteristics of the reshaped loess sample; the indicator layer includes the small pore area ratio, large pore area ratio, average pore perimeter, pore roundness, pore convexity, pore fractal dimension, pore maximum directional frequency, pore anisotropy ratio, and pore directional probability entropy.

4. The method according to claim 1, characterized in that: Based on the positive and negative properties of the microscopic pore parameters affecting the stability of the remodeled loess structure, the microscopic pore parameters are standardized to obtain the standardized microscopic pore parameters, including: Based on a preset standardized calculation function, a microscopic pore parameter with a positive attribute is positively processed, and a microscopic pore parameter with a negative attribute is negatively processed to obtain the standardized microscopic pore parameter; The formula for standardization is: In the formula, x mn represents the value of the porosity index n on the mth evaluation object, n = 1, 2, ..., 9; m is the number of reshaped loess samples with different dry densities, m = 1, 2, ..., 8; Xmn is the standardized microscopic pore parameter data.

5. The method according to claim 1, characterized in that The calculating of the subjective and objective weights of the standardized microscopic pore parameters and weight combination of the weights to obtain a combined weight value includes: Based on a preset simulation scoring algorithm and a preset analysis hierarchy process, the subjective weight of the standardized microscopic pore parameter is calculated, and the consistency test of the subjective weight is performed; Calculating the objective weight of the standardized microscopic pore parameters based on a preset application entropy weight method; Based on a preset game theory method, the subjective weight and the objective weight are weighted together to obtain the combined weight value; Wherein, the subjective weight is expressed as: In the formula, w n is the weight of the nth pore index, w i is the normalized subjective weight of the nth porosity index; The objective weight is expressed as: Where P nm is the proportion of the mth sample with the nth porosity index, e n is the entropy value of the nth pore index, w j is the normalized subjective and objective weight of the nth porosity index; The combined weight value can be expressed as: Where α1 is the subjective weight coefficient, α2 is the objective weight coefficient, and W is the combined weight value.

6. The method according to claim 1, characterized in that The Z-type membership function is expressed as: Where y is the membership function, x is the dry density of the loess sample, a and b are the upper and lower limits of the dry density of the reshaped loess, respectively. The dry density of natural loess ranges from 1.29 to 1.80 g cm -3 Therefore, a=1.29, b=1.

80.

7. A device for evaluating the stability of remodeled loess structure based on microscopic pore parameters, characterized in that: The device comprises: An acquisition module is used to obtain the microscopic pore parameters of the reshaped loess sample to be evaluated; Establishing a module for establishing a hierarchical model for evaluating the stability of remodeled loess structure based on the analytic hierarchy process and the microscopic pore parameters; A processing module, for performing standardization processing on the microscopic pore parameters based on the positive and negative properties of the microscopic pore parameters affecting the stability of the remodeled loess structure, to obtain standardized microscopic pore parameters; A calculation module, used for calculating the subjective and objective weights of the standardized microscopic pore parameters, and combining the weights to obtain a combined weight value; The calculation module is further used to calculate the corresponding membership of the reshaped loess at different dry densities based on a preset weight addition algorithm, the combined weight value and the standardized microscopic pore parameter to obtain a comprehensive evaluation set; The evaluation module is used to refine the comprehensive evaluation set based on the hierarchical model for evaluating the structural stability of reshaped loess by using a Z-type membership function to evaluate the structural stability of reshaped loess with different dry densities.

8. A device for evaluating the stability of remodeled loess structure based on microscopic pore parameters, characterized in that: include: A memory for storing executable instructions; The processor is used to implement the method for evaluating the stability of remodeled loess structure based on microscopic pore parameters as described in any one of claims 1 to 6 when executing the executable instructions stored in the memory.

9. A computer-readable storage medium storing executable instructions for causing a processor to execute the executable instructions to implement the method for evaluating the stability of remodeled loess structure based on microscopic pore parameters as described in any one of claims 1 to 6.

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