Soil-water relationship prediction method and system considering clay mineral-soil interaction
By constructing a soil-water relationship prediction model that considers clay mineral-soil interaction, the problem of large prediction error in traditional methods is solved, and a more accurate and applicable soil-water relationship prediction model is achieved, which is suitable for slope stability and roadbed settlement analysis.
Patent Information
- Application Number
- CN202510974975.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-07-15
- Publication Date
- 2025-10-31
AI Technical Summary
Existing technologies fail to effectively consider the interaction between clay minerals and soil when rapidly determining unsaturated soil-hydraulic parameters, resulting in significant errors between predicted results and actual data, insufficient applicability, and difficulty in meeting actual engineering conditions.
We constructed a control equation for the weight moisture content of multiple clay minerals and a semi-empirical basic formula for soil water retention behavior. Combining the influencing factors of clay mineral-soil interaction, we predicted the soil-water relationship of multiple clay mineral-soil interaction. Considering actual engineering data, we fitted and constructed a soil-water characteristic curve of multiple clay mineral-soil interaction.
It improves the accuracy and applicability of soil-water relationship prediction, and can more accurately reflect the soil's water retention capacity and mechanical properties. It is applicable to engineering analysis such as slope stability and roadbed settlement, and provides a reliable theoretical tool.
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Figure CN120870508A_ABST
Abstract
Description
Technical Field
[0001] This disclosure relates to the field of geotechnical engineering technology, and specifically to a method and system for predicting soil-water relationships that takes into account clay mineral-soil interactions. Background Technology
[0002] The statements in this section are merely background information relating to this disclosure and do not necessarily constitute prior art.
[0003] The soil-water characteristic curve (SWRC) is defined as the relationship between soil matric suction and soil saturation. The matric potential (or soil water suction) of soil water varies with soil moisture content, and the curve representing this relationship is called the soil moisture characteristic curve. It is one of the important parameters in the analysis of seepage, strength, and deformation of unsaturated soils and is widely used in environmental, hydrological, and geotechnical engineering fields. This curve reflects the relationship between soil water energy and quantity, and is an essential parameter for studying soil hydrodynamic properties. The shape characteristics of the curve (slope, inflection point) indirectly reflect the soil's water retention capacity and internal porosity characteristics, and are therefore closely related to its macroscopic mechanical properties (such as shear strength, tensile strength, and compressive strength). In the engineering field, accurately obtaining the SWRC of undisturbed soil at a construction site is of great guiding significance for studying slope stability, the shear strength of unsaturated soil subgrades, and ground settlement.
[0004] Clay minerals are widely found in various soils and rocks on the Earth's surface. They are characterized by small particle size, high surface area, and water absorption and swelling. Existing studies have shown that clay minerals have a significant impact on the structure and mechanical properties of soil, which in turn affects the safety and stability of engineering structures. Therefore, in-depth research on the interaction between clay minerals and soil, and the determination of the soil-water characteristic curves under the influence of clay minerals, is of great engineering significance.
[0005] Traditional soil-hydraulic characteristic curves are measured using conventional methods, including pressure membrane method, centrifuge method, sand box method, and drying method. However, the pressure membrane method and centrifuge method are suitable for laboratory environments, while the drying method and tensiometer method are more suitable for field measurements. All of these methods are time-consuming and labor-intensive, and cannot achieve rapid measurement. In recent years, however, empirical and theoretical models have been proposed for the rapid measurement of unsaturated soil-hydraulic parameters. However, during the measurement process, various substances in the environment have a certain influence on the soil, and empirical and theoretical models do not consider the interaction of actual influencing factors. This leads to a large error between the predicted results and the actual data, resulting in insufficient prediction accuracy, weak applicability, and difficulty in conforming to actual engineering conditions. Summary of the Invention
[0006] To address the aforementioned issues, this disclosure proposes a method and system for predicting soil-water relationships that considers the interaction between clay minerals and soil. Based on experimental data and considering the interaction between multiple clay minerals and soil, a prediction model is constructed by fitting and building a control equation for the weight water content of multiple clay minerals and a semi-empirical basic formula for soil water retention behavior. This model takes into account the combined effects of multiple clay minerals, making it more applicable and more in line with actual engineering conditions.
[0007] According to some embodiments, the present disclosure adopts the following technical solutions: Methods for predicting soil-water relationships that consider clay mineral-soil interactions include: Obtain actual engineering data and determine the clay mineral ratio based on the actual engineering data; Based on the clay mineral ratio, a basic control equation for the weight moisture content of multiple clay minerals is constructed. Based on the basic control equation of clay mineral weight moisture content, the influence factor of multi-clay mineral-soil interaction is introduced to obtain the control equation of multi-clay mineral weight moisture content considering multi-clay mineral-soil interaction. A semi-empirical basic formula for soil water retention behavior is constructed by combining the weight water content control equation of multi-clay minerals considering the interaction between multi-clay minerals and soil with the semi-empirical basic formula for soil water retention behavior, resulting in the gravity water content-suction basic equation considering the interaction between multi-clay minerals and soil. We obtained saturation values under different matrix suction conditions and constructed a basic equation for the saturation of multi-clay mineral-soil interactions. By combining the basic equation of gravity water content-suction considering the interaction between clay minerals and soil with the saturation equation of the interaction between clay minerals and soil, the saturation-suction relationship of the interaction between clay minerals and soil is predicted.
[0008] According to some embodiments, the present disclosure adopts the following technical solutions: Soil-water relationship prediction systems that consider clay mineral-soil interactions include: The data acquisition module is used to acquire actual engineering data and determine the clay mineral ratio based on the actual engineering data; The prediction module is used to construct a basic governing equation for the weight moisture content of multiple clay minerals based on the clay mineral ratio; based on the basic governing equation for the weight moisture content of multiple clay minerals, the influencing factor of the interaction between multiple clay minerals and soil is introduced to obtain a governing equation for the weight moisture content of multiple clay minerals considering the interaction between multiple clay minerals and soil; a semi-empirical basic formula for soil water retention behavior is constructed; the governing equation for the weight moisture content of multiple clay minerals considering the interaction between multiple clay minerals and soil is combined with the semi-empirical basic formula for soil water retention behavior to obtain a basic equation for the gravity moisture content-suction considering the interaction between multiple clay minerals and soil; saturation values under different matrix suction are obtained to construct a basic equation for the saturation of the interaction between multiple clay minerals and soil; the basic equation for the gravity moisture content-suction considering the interaction between multiple clay minerals and soil is combined with the saturation equation for the interaction between multiple clay minerals and soil to predict the saturation-suction relationship of the interaction between multiple clay minerals and soil.
[0009] According to some embodiments, the present disclosure adopts the following technical solutions: A computer program product includes a computer program that, when executed by a processor, implements the soil-water relationship prediction method considering clay mineral-soil interactions.
[0010] According to some embodiments, the present disclosure adopts the following technical solutions: A non-transitory computer-readable storage medium is provided for storing computer instructions, which, when executed by a processor, implement the soil-water relationship prediction method considering clay mineral-soil interactions.
[0011] According to some embodiments, the present disclosure adopts the following technical solutions: An electronic device includes a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to perform the soil-water relationship prediction method considering clay mineral-soil interaction.
[0012] Compared with the prior art, the beneficial effects of this disclosure are as follows: This disclosure presents a soil-water relationship prediction method considering clay mineral-soil interactions. It takes into account the interactions between multiple clay minerals and soil, introduces influencing factors of these interactions, constructs a predictive model for soil-water characteristic curves based on these interactions, and proposes a dynamic porosity correction mechanism based on mineral proportion experiments. It also parameterizes and correlates suction, porosity, and mineral composition to improve prediction accuracy. This method can efficiently support engineering scenarios such as slope stability analysis and roadbed settlement prediction, providing a reliable theoretical tool for the study of unsaturated soil mechanics in complex geology.
[0013] This disclosed method for predicting soil-water relationships, considering clay mineral-soil interactions, uses parameters derived from fitting experimental data rather than being solely empirically derived, thus better reflecting actual soil-water characteristic curves. The experimental data is readily available and universally applicable, saving significant experimental steps and time. The prediction model, considering the interaction between clay minerals and soil, is more consistent with reality than existing research, offering higher prediction accuracy and greater applicability, better aligning with practical engineering conditions. Attached Figure Description
[0014] The accompanying drawings, which form part of this disclosure, are used to provide a further understanding of this disclosure. The illustrative embodiments of this disclosure and their descriptions are used to explain this disclosure and do not constitute an undue limitation of this disclosure.
[0015] Figure 1 This is a flowchart of a soil-water relationship prediction method considering clay mineral-soil interactions, according to an embodiment of this disclosure. Figure 2 This is a schematic diagram of the various substances in the soil according to an embodiment of this disclosure. Detailed Implementation
[0016] The present disclosure will be further described below with reference to the accompanying drawings and embodiments.
[0017] It should be noted that the following detailed descriptions are illustrative and intended to provide further explanation of this disclosure. Unless otherwise specified, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this disclosure pertains.
[0018] It should be noted that the terminology used herein is for the purpose of describing particular embodiments only and is not intended to limit the exemplary embodiments according to this disclosure. As used herein, the singular form is intended to include the plural form as well, unless the context clearly indicates otherwise. Furthermore, it should be understood that when the terms “comprising” and / or “including” are used in this specification, they indicate the presence of features, steps, operations, devices, components, and / or combinations thereof.
[0019] Example 1 One embodiment of this disclosure provides a method for predicting soil-water relationships that considers clay mineral-soil interactions. This method, based on experimental data and considering multiple clay mineral-soil interactions, constructs a prediction model to predict soil-water characteristic curves. The method steps are as follows: Step 1: Obtain actual engineering data and determine the clay mineral ratio based on the actual engineering data; Step 2: Based on the clay mineral ratio, construct the basic control equation for the weight moisture content of multiple clay minerals; Step 3: Based on the basic control equation of clay mineral weight moisture content, the influence factor of multi-clay mineral-soil interaction is introduced to obtain the control equation of multi-clay mineral weight moisture content considering multi-clay mineral-soil interaction. Step 4: Construct a semi-empirical basic formula for soil water retention behavior. Combine the weight water content control equation of clay minerals that considers the interaction between clay minerals and soil with the semi-empirical basic formula for soil water retention behavior to obtain the gravitational water content-suction basic equation that considers the interaction between clay minerals and soil. Step 5: Obtain saturation values under different matrix suction conditions and construct the basic equation for saturation of multi-clay mineral-soil interaction; Step 6: Combine the basic equation of gravity water content-suction considering the interaction between clay minerals and soil with the saturation equation of the interaction between clay minerals and soil to predict the saturation-suction relationship of the interaction between clay minerals and soil.
[0020] As one embodiment, the specific implementation process of the soil-water relationship prediction method considering clay mineral-soil interactions disclosed herein is as follows: Step 1: Obtain actual engineering data and determine the clay mineral ratio based on the actual engineering data; Specifically, obtaining actual engineering data, such as Figure 2 As shown, the composition of soil includes the three phases, specifically air, water in clay minerals, water in soil, clay minerals, and soil particles.
[0021] Based on actual engineering data, the composition and content of various clay minerals in the soil are determined by methods such as XRD, and the clay mineral ratio is determined.
[0022] Step 2: Based on the clay mineral ratio, construct the basic control equation for the weight moisture content of multiple clay minerals; Specifically, based on the determined clay mineral ratio, the basic governing equation for the gravimetric moisture content of single clay minerals is first established. Then, according to the definition of gravimetric moisture content and the basic governing equation for the gravimetric moisture content of single clay minerals, the basic governing equation for the gravimetric moisture content of multiple clay minerals is obtained, as follows: Step 2.1: Establish the basic governing equation for the weight water content of single clay minerals, as follows:
[0023] in, a , b For positive model parameters, s It is suction force.
[0024] Step 2.2: The weight moisture content is defined as the ratio of the mass of water absorbed by clay minerals to the mass of dry clay mineral particles. Based on the definition of weight moisture content and the basic control equation for the weight moisture content of a single clay mineral, the basic control equation for the weight moisture content of multiple clay minerals is established as follows:
[0025] in, This represents the maximum weight ratio of water to clay minerals in the pores of clay minerals. m i The mineral content of each clay element, a i , b i For positive model parameters, i =1,2,3···.
[0026] Step 3: Based on the basic control equation of clay mineral weight moisture content, the influence factor of multi-clay mineral-soil interaction is introduced to obtain the control equation of multi-clay mineral weight moisture content considering multi-clay mineral-soil interaction. Specifically, a relationship between the mass ratio and volume ratio of water in multi-clay minerals is established, considering the interaction between multi-clay minerals and soil. This includes the distribution of clay minerals within soil pores, the swelling of clay minerals upon water absorption, which reduces soil pore space, and the soil pores conversely constraining the swelling of clay mineral particles upon water absorption. Based on this relationship, a multi-clay mineral-soil interaction influencing factor is constructed. This factor is then incorporated into the basic control equation for the weight moisture content of multi-clay minerals, resulting in a control equation for the weight moisture content of multi-clay minerals that considers the interaction between the two. The details are as follows: Step 31: Establish the relationship between the mass ratio and volume ratio of water in clay minerals, as follows:
[0027] in, This represents the maximum volume ratio of water to clay minerals in the pores of clay minerals. This refers to the mass ratio of clay minerals to soil. This refers to the specific gravity of the soil.
[0028] Step 3.2: Construct the influencing factors of clay mineral-soil interaction based on the relationship between the mass ratio and volume ratio of water in clay minerals, as follows:
[0029] in, denoted as initial soil porosity, and c is a positive soil parameter; Step 3.3: Introduce the influencing factors of the multi-clay mineral-soil interaction into the basic governing equation of the multi-clay mineral gravimetric moisture content, and obtain the governing equation of the multi-clay mineral gravimetric moisture content considering the multi-clay mineral-soil interaction, as follows:
[0030] Step 4: Construct a semi-empirical basic formula for soil water retention behavior. Combine the weight water content control equation of clay minerals that considers the interaction between clay minerals and soil with the semi-empirical basic formula for soil water retention behavior to obtain the gravity water content-suction basic equation that considers the interaction between clay minerals and soil. Specifically, a semi-empirical basic formula for soil water retention behavior and a formula for expressing gravimetric moisture content are constructed. The governing equation for gravimetric moisture content of clay minerals considering the interaction between clay minerals and soil, and the semi-empirical basic formula for soil water retention behavior are substituted into the formula for expressing gravimetric moisture content, resulting in the fundamental equation of gravity-suction considering the interaction between clay minerals and soil. The details are as follows: Step 41: Construct a semi-empirical basic formula for soil water retention behavior, as follows:
[0031] in, d , and Positive soil parameters e Porosity; As one example, d The expression is:
[0032] in, and This is a positive soil parameter.
[0033] As one example, e The expression is:
[0034] in, To account for the maximum volume ratio of water to clay minerals in the pores of clay minerals with multiple clay mineral-soil interactions, This represents the volumetric strain of the soil under the influence of multiple clay minerals.
[0035] Furthermore, e Expression replacement d Then, the semi-empirical basic formula for soil water retention behavior is obtained as follows:
[0036] in, and The relation is:
[0037] Step 42: Construct the formula for expressing the weight moisture content, as follows:
[0038] Step 43: Substitute the clay mineral gravimetric moisture content governing equation considering clay mineral-soil interactions and the semi-empirical basic formula for soil water retention behavior into the gravimetric moisture content expression formula, where... f w(p) Substituting the values into the governing equation for the gravimetric moisture content of clay minerals, we obtain the fundamental equation for the gravitational moisture content-suction considering the interaction between clay minerals and soil. As follows:
[0039] Step 5: Obtain saturation values under different matrix suction conditions and construct the basic equation for saturation of multi-clay mineral-soil interaction; Specifically, by conducting saturation-matrix suction tests on single clay minerals, pure soil, and soil modified with multiple clay minerals, saturation values under different matrix suction conditions were obtained. A basic equation for the saturation of the interaction between multiple clay minerals and soil was then constructed:
[0040] in, For the volume of soil particles, For the volume of clay minerals, This represents the volume of water in the soil pores. This represents the volume of water in the pores of clay minerals. The volume of pores filled with air.
[0041] Furthermore, by expressing the fundamental equation for the saturation degree of the multi-clay mineral-soil interaction using a volume ratio function, we obtain the saturation degree equation for the multi-clay mineral-soil interaction:
[0042] in, This refers to the volume ratio of water to soil particles in the soil pores. It is the volume ratio of air to soil particles in the soil pores.
[0043] Step 6: Combine the basic equation of gravity water content-suction considering the interaction between clay minerals and soil with the saturation equation of the interaction between clay minerals and soil to predict the saturation-suction relationship of the interaction between clay minerals and soil.
[0044] Specifically, based on the saturation values under different matrix suction conditions, the parameters of the gravity water content-suction relationship equation considering the interaction between clay minerals and soil were fitted using MATLAB. These parameters were then substituted into the basic gravity water content-suction equation considering the interaction between clay minerals and soil. Finally, the basic gravity water content-suction equation considering the interaction between clay minerals and soil was substituted into the basic saturation equation to obtain the saturation-suction relationship equation considering the interaction between clay minerals and soil. (See below.) Substituting the fundamental equation of gravity-water content-suction considering the interaction between clay minerals and soil into the saturation equation of the interaction between clay minerals and soil, we obtain the saturation-suction relationship equation of the interaction between clay minerals and soil. Then:
[0045] in, and The following relationship exists: .
[0046] As one embodiment, the soil-water characteristic curve of the multi-clay mineral-soil interaction can be predicted based on the obtained saturation-suction relationship equation. The soil-water relationship prediction method considering clay mineral-soil interaction disclosed herein takes into account the interaction between clay minerals and soil in its prediction model, which is more consistent with reality and has higher prediction accuracy compared to existing studies. It is also more applicable and better suited to actual engineering conditions.
[0047] Example 2 One embodiment of this disclosure provides a soil-water relationship prediction system that considers clay mineral-soil interactions, including: The data acquisition module is used to acquire actual engineering data and determine the clay mineral ratio based on the actual engineering data; The prediction module is used to construct a basic governing equation for the weight moisture content of multiple clay minerals based on the clay mineral ratio; based on the basic governing equation for the weight moisture content of multiple clay minerals, the influencing factor of the interaction between multiple clay minerals and soil is introduced to obtain a governing equation for the weight moisture content of multiple clay minerals considering the interaction between multiple clay minerals and soil; a semi-empirical basic formula for soil water retention behavior is constructed; the governing equation for the weight moisture content of multiple clay minerals considering the interaction between multiple clay minerals and soil is combined with the semi-empirical basic formula for soil water retention behavior to obtain a basic equation for the gravity moisture content-suction considering the interaction between multiple clay minerals and soil; saturation values under different matrix suction are obtained to construct a basic equation for the saturation of the interaction between multiple clay minerals and soil; the basic equation for the gravity moisture content-suction considering the interaction between multiple clay minerals and soil is combined with the saturation equation for the interaction between multiple clay minerals and soil to predict the saturation-suction relationship of the interaction between multiple clay minerals and soil.
[0048] Example 3 One embodiment of this disclosure provides a computer program product, including a computer program that, when executed by a processor, implements the soil-water relationship prediction method considering clay mineral-soil interactions.
[0049] Example 4 One embodiment of this disclosure provides a non-transitory computer-readable storage medium for storing computer instructions, which, when executed by a processor, implement the soil-water relationship prediction method considering clay mineral-soil interactions.
[0050] Example 5 One embodiment of this disclosure provides an electronic device, including: a processor, a memory, and a computer program; wherein the processor is connected to the memory, and the computer program is stored in the memory. When the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to perform the soil-water relationship prediction method considering clay mineral-soil interaction.
[0051] This disclosure is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this disclosure. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create a machine for implementing the flowchart illustrations and / or block diagrams. Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.
[0052] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.
[0053] While the specific embodiments of this disclosure have been described above in conjunction with the accompanying drawings, this is not intended to limit the scope of protection of this disclosure. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art without creative effort based on the technical solutions of this disclosure are still within the scope of protection of this disclosure.
Claims
1. A method for predicting soil-water relationships considering clay mineral-soil interactions, characterized in that, include: Obtain actual engineering data and determine the clay mineral ratio based on the actual engineering data; Based on the clay mineral ratio, a basic control equation for the weight moisture content of multiple clay minerals is constructed. Based on the basic control equation of clay mineral weight moisture content, the influence factor of multi-clay mineral-soil interaction is introduced to obtain the control equation of multi-clay mineral weight moisture content considering multi-clay mineral-soil interaction. A semi-empirical basic formula for soil water retention behavior is constructed by combining the weight water content control equation of multi-clay minerals considering the interaction between multi-clay minerals and soil with the semi-empirical basic formula for soil water retention behavior, resulting in the gravity water content-suction basic equation considering the interaction between multi-clay minerals and soil. We obtained saturation values under different matrix suction conditions and constructed a basic equation for the saturation of multi-clay mineral-soil interactions. By combining the basic equation of gravity water content-suction considering the interaction between clay minerals and soil with the saturation equation of the interaction between clay minerals and soil, the saturation-suction relationship of the interaction between clay minerals and soil is predicted.
2. The method for predicting soil-water relationships considering clay mineral-soil interactions as described in claim 1, characterized in that, Based on the determined clay mineral ratio, the basic control equation for the weight moisture content of single clay minerals is first established. According to the definition of weight moisture content and the basic control equation for the weight moisture content of single clay minerals, the basic control equation for the weight moisture content of multi-clay minerals is obtained.
3. The method for predicting soil-water relationships considering clay mineral-soil interactions as described in claim 1, characterized in that, A formula for the relationship between the mass ratio and volume ratio of water in multi-clay minerals was established. Considering the interaction between multi-clay minerals and soil, an influencing factor for the interaction between multi-clay minerals and soil was constructed based on the formula. The influencing factor for the interaction between multi-clay minerals and soil was introduced into the basic control equation for the weight moisture content of multi-clay minerals, thus obtaining the control equation for the weight moisture content of multi-clay minerals considering the interaction between multi-clay minerals and soil.
4. The method for predicting soil-water relationships considering clay mineral-soil interactions as described in claim 1, characterized in that, A semi-empirical basic formula for soil water retention behavior and a formula for expressing gravimetric moisture content were constructed. The gravimetric moisture content control equation for multi-clay minerals and the semi-empirical basic formula for soil water retention behavior, which consider the interaction between multi-clay minerals and soil, were substituted into the formula for expressing gravimetric moisture content to obtain the basic equation of gravity-suction considering the interaction between multi-clay minerals and soil.
5. The method for predicting soil-water relationships considering clay mineral-soil interactions as described in claim 1, characterized in that, By conducting saturation-matrix suction tests on single clay minerals, pure soil, and soil modified with multiple clay minerals, saturation values under different matrix suction were obtained. The parameters of the gravity water content-suction relationship equation considering the interaction between multiple clay minerals and soil were fitted and substituted into the basic gravity water content-suction equation considering the interaction between multiple clay minerals and soil.
6. The method for predicting soil-water relationships considering clay mineral-soil interactions as described in claim 1, characterized in that, The basic saturation equation is constructed. The basic saturation equation of the interaction between multiple clay minerals and soil is expressed by the volume ratio function. Substituting the basic gravitational water content-suction equation considering the interaction between multiple clay minerals and soil into the basic saturation equation, the saturation-suction relationship equation considering the interaction between multiple clay minerals and soil is obtained.
7. A soil-water relationship prediction system considering clay mineral-soil interactions, characterized in that, include: The data acquisition module is used to acquire actual engineering data and determine the clay mineral ratio based on the actual engineering data; The prediction module is used to construct a basic governing equation for the weight moisture content of multiple clay minerals based on the clay mineral ratio; based on the basic governing equation for the weight moisture content of multiple clay minerals, the influencing factor of the interaction between multiple clay minerals and soil is introduced to obtain a governing equation for the weight moisture content of multiple clay minerals considering the interaction between multiple clay minerals and soil; a semi-empirical basic formula for soil water retention behavior is constructed; the governing equation for the weight moisture content of multiple clay minerals considering the interaction between multiple clay minerals and soil is combined with the semi-empirical basic formula for soil water retention behavior to obtain a basic equation for the gravity moisture content-suction considering the interaction between multiple clay minerals and soil; saturation values under different matrix suction are obtained to construct a basic equation for the saturation of the interaction between multiple clay minerals and soil; the basic equation for the gravity moisture content-suction considering the interaction between multiple clay minerals and soil is combined with the saturation equation for the interaction between multiple clay minerals and soil to predict the saturation-suction relationship of the interaction between multiple clay minerals and soil.
8. A computer program product, comprising a computer program, characterized in that, When the computer program is executed by the processor, it implements the soil-water relationship prediction method considering clay mineral-soil interaction as described in any one of claims 1-6.
9. A non-transitory computer-readable storage medium, characterized in that, The non-transitory computer-readable storage medium is used to store computer instructions, which, when executed by a processor, implement the soil-water relationship prediction method considering clay mineral-soil interaction as described in any one of claims 1-6.
10. An electronic device, characterized in that, include: The device includes a processor, a memory, and a computer program; wherein the processor is connected to the memory, the computer program is stored in the memory, and when the electronic device is running, the processor executes the computer program stored in the memory to enable the electronic device to perform the soil-water relationship prediction method considering clay mineral-soil interaction as described in any one of claims 1-6.