A soft clay compression index rapid prediction method and system based on equivalent concept, a terminal and a storage medium

Abstract

The application belongs to the technical field of basic engineering data processing, and discloses a soft clay compression index rapid prediction method, system, terminal and storage medium based on an equivalent concept, which comprises the following steps: obtaining model parameters of any kind of soft clay based on an indoor compression test method, and determining a soft clay equivalent compression model according to the model parameters; obtaining basic physical characteristic parameters of a soft clay to be measured; substituting the basic physical characteristic parameters into the soft clay equivalent compression model to obtain a compression index of the soft clay to be measured; and outputting the compression index of the soft clay to be measured. According to the application, only one conventional compression test is needed, and reasonable prediction of compression characteristics of different types of soft clay under a wide range of initial moisture content and stress level conditions can be realized, the prediction cost of the compression characteristics of the soft clay is significantly reduced, and the prediction accuracy of the compression characteristics of the soft clay is improved.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of foundation engineering data processing, and particularly relates to a soft clay compression index rapid prediction method, system, terminal and storage medium based on an equivalent concept. BACKGROUND

[0002] Deep soft clay layers formed by marine and lacustrine sedimentation are widely distributed in some areas. Such soil bodies usually have a high water content, and thus exhibit low strength, high compressibility and high sensitivity in engineering properties, which can easily cause uneven settlement, foundation instability and other engineering disasters. Therefore, it is of great theoretical significance and practical value to propose a simple and efficient soft clay compression index prediction method to realize reasonable evaluation of the compression characteristics of soft clay for foundation engineering construction and engineering disaster prevention.

[0003] Due to differences in transport methods and deposition environments, the water content of natural soft clay usually changes with horizontal position and burial depth, showing significant spatial variability. A large number of studies have shown that the compression characteristics of soft clay are highly sensitive to the initial water content. Under the same stress conditions, the compression index will increase significantly with the increase of the initial water content, and in addition, the effect of the initial water content also changes with the stress level. Therefore, accurately describing the effect of the initial water content on the compression characteristics of soft clay is an important prerequisite for pre-consolidation design and post-construction settlement analysis of foundations. However, traditional empirical analysis methods and machine learning methods often rely on a large number of laboratory tests to establish a database, which not only consumes time and economic cost, but also has high prediction accuracy depending on the database capacity and test quality, and has great uncertainty and limitations.

[0004] Therefore, the prior art still needs to be improved. SUMMARY

[0005] The technical problem to be solved by the present application is that, in view of the defects of the prior art, the present application provides a soft clay compression index rapid prediction method, system, terminal and storage medium based on an equivalent concept, to solve the problems of low precision and high cost in predicting the compression characteristics of soft clay by traditional empirical analysis methods and machine learning methods.

[0006] The technical solution adopted by the present application to solve the technical problem is as follows:

[0007] In a first aspect, the present application provides a soft clay compression index rapid prediction method based on an equivalent concept, comprising:

[0008] obtaining model parameters of any kind of soft clay based on an indoor compression test method, and determining a soft clay equivalent compression model according to the model parameters;

[0009] obtaining basic physical property parameters of the soft clay to be tested;

[0010] substituting the basic physical characteristic parameters into the equivalent compression model of soft clay, to obtain the compression index of the soft clay to be measured;

[0011] outputting the compression index of the soft clay to be measured.

[0012] In an implementation manner, the model parameters of any kind of soft clay are obtained based on the indoor compression test method, and the equivalent compression model of soft clay is determined according to the model parameters, including:

[0013] the slope and the intercept of the inherent compression curve of the saturated soft clay under the condition of any reference initial void ratio are obtained by field sampling and one-dimensional compression consolidation test method. ;

[0014] The expression of the inherent compression curve of the saturated soft clay is determined according to the slope and the intercept , and the expression of the inherent compression curve of the saturated soft clay is taken as the equivalent compression model of soft clay.

[0015] In an implementation manner, the expression of the inherent compression curve of the saturated soft clay is:

[0016] ;

[0017] wherein, is the inherent void ratio of soft clay, is the effective stress, is the reference stress.

[0018] In an implementation manner, the basic physical characteristic parameters of the soft clay to be measured are obtained, including:

[0019] the initial void ratio and the liquid limit void ratio of the soft clay to be measured are obtained based on field sampling and indoor soil test results, to obtain the basic physical characteristic parameters of the soft clay to be measured.

[0020] In an implementation manner, the basic physical characteristic parameters are substituted into the equivalent compression model of soft clay, to obtain the compression index of the soft clay to be measured, including:

[0021] the initial void ratio and the liquid limit void ratio of the soft clay to be measured are substituted into the equivalent compression model of soft clay, to calculate the void ratio-stress relationship of soft clay under different initial water contents.

[0022] ​According to the soft clay void ratio-stress relationship, the tangent compression index of the soft clay under different initial water content and stress levels is calculated , and the compression index of the soft clay to be measured is obtained.

[0023] In an implementation manner, the soft clay void ratio-stress relationship under different initial water content conditions is:

[0024] ;

[0025] wherein, is the initial void ratio of the soft clay to be measured , and the difference between the reference initial void ratio , and the difference between the reference initial void ratio is a state variable for controlling the change of the initial water content with the void ratio of the soft clay:

[0026] ;

[0027] wherein, is a state parameter for controlling the sensitivity of the state variable to the change of the void ratio:

[0028] .

[0029] In an implementation manner, the tangent compression index of the soft clay is calculated by the following formula:

[0030] .

[0031] In a second aspect, the present application provides a fast prediction system for the compression index of soft clay based on the equivalent concept, comprising:

[0032] a model parameter module, configured to obtain the model parameters of any kind of soft clay based on the indoor compression test method, and determine the equivalent compression model of the soft clay according to the model parameters;

[0033] a physical property parameter module, configured to obtain the basic physical property parameters of the soft clay to be measured;

[0034] a compression index solving module, configured to substitute the basic physical property parameters into the equivalent compression model of the soft clay, and solve to obtain the compression index of the soft clay to be measured;

[0035] an output module, configured to output the compression index of the soft clay to be measured.

[0036] In a third aspect, the present application provides a terminal, comprising: a processor and a memory, the memory storing a soft clay compression index fast prediction program based on equivalent concept, the soft clay compression index fast prediction program based on equivalent concept being used for implementing the operations of the soft clay compression index fast prediction method based on equivalent concept as described in the first aspect when executed by the processor.

[0037] In a fourth aspect, the present application further provides a computer readable storage medium storing a soft clay compression index fast prediction program based on equivalent concept, the soft clay compression index fast prediction program based on equivalent concept being used for implementing the operations of the soft clay compression index fast prediction method based on equivalent concept as described in the first aspect when executed by a processor.

[0038] The technical scheme of the present application has the following effects:

[0039] The present application obtains model parameters of any kind of soft clay based on an indoor compression test method, and determines a soft clay equivalent compression model according to the model parameters, so that the basic physical characteristic parameters of a to-be-tested soft clay can be directly substituted into the soft clay equivalent compression model, and the compression index of the to-be-tested soft clay can be solved and output. The present application only needs one conventional compression test, and can realize reasonable prediction of compression characteristics of different types of soft clay under a large range of initial water content and stress level conditions, and provides feasible parameter support for infrastructure construction and geotechnical structure deformation calculation in coastal areas, significantly reduces the prediction cost of the compression characteristics of the soft clay, and improves the prediction accuracy of the compression characteristics of the soft clay. BRIEF DESCRIPTION OF DRAWINGS

[0040] In order to more clearly illustrate the technical scheme in the embodiments of the present application or the prior art, the following will briefly introduce the drawings needed to be used in the embodiments or the prior art description. Obviously, the drawings in the following description only show some embodiments of the present application, and other drawings can be obtained by those skilled in the art without any creative effort based on the drawings shown.

[0041] Figure 1 is a flow chart of the soft clay compression index fast prediction method based on equivalent concept in the present application.

[0042] Figure 2 is a comparison diagram of measured state parameters of soft clay compression test in existing literature and prediction results of the present method.

[0043] Figure 3 is a comparison diagram of measured void ratios of different types of soft clay in existing literature and model calculated void ratios of the present method.

[0044] Figure 4It is a comparison chart of the predicted value and the measured value of the compression index of soft clay with different initial water contents in a certain region in the application.

[0045] Figure 5 It is a functional schematic diagram of a terminal in an implementation manner of the application.

[0046] The purposes, functional features and advantages of the application will be further described with reference to the embodiments and the accompanying drawings. DETAILED DESCRIPTION

[0047] To make the purposes, technical solutions and advantages of the application clearer and more explicit, the application will be further described in detail below with reference to the drawings and embodiments. It should be understood that the specific embodiments described herein are only used to explain the application and not to limit the application.

[0048] Exemplary method

[0049] Existing research shows that the compression characteristics of soft clay are highly sensitive to the initial water content. Under the same stress condition, the compression index will obviously rise with the increase of the initial water content, and in addition, the effect of the initial water content changes with the stress level. Therefore, accurately describing the influence of the initial water content on the compression characteristics of soft clay is an important prerequisite for pre-consolidation design and post-construction settlement analysis of foundations. However, the traditional empirical analysis method and the machine learning method often rely on a large number of indoor tests to establish a database, which not only consumes time and economic cost, but also the prediction accuracy is highly dependent on the database capacity and test quality, and there is great uncertainty and limitation.

[0050] In view of the above technical problems, an equivalent concept-based rapid prediction method for the compression index of soft clay is provided in the embodiments of the application, which comprises the following steps:

[0051] As shown in Figure 1 The embodiments of the application provide an equivalent concept-based rapid prediction method for the compression index of soft clay, which comprises the following steps:

[0052] In step S100, the model parameters of any kind of soft clay are obtained based on the indoor compression test method, and the equivalent compression model of soft clay is determined according to the model parameters.

[0053] In the embodiment, the core steps of the soft clay compression index prediction method based on the equivalent concept are as follows: first, a saturated clay sample under an arbitrary initial moisture content condition is prepared, and its inherent compression parameters are obtained through a conventional indoor compression test; then, the basic physical characteristic parameters of the soft clay to be measured are obtained by combining field sampling and basic geotechnical tests, including the initial void ratio and the liquid limit void ratio; finally, the basic physical characteristic parameters are substituted into the soft clay equivalent compression model considering the initial moisture content effect, so that the tangent compression index of the soft clay under different initial moisture content, liquid limit and stress level conditions can be quickly calculated.

[0054] Compared with the traditional empirical and machine learning methods, the prediction idea proposed in the embodiment is simple and efficient, and only one conventional compression test is needed to achieve reasonable prediction of the compression characteristics of different types of soft clay under a wide range of initial moisture content and stress level conditions. This method can provide practical design reference and theoretical support for infrastructure construction and geotechnical structure deformation analysis in coastal areas, significantly improve the timeliness of engineering investigation and design, reduce test and construction costs, and has high application value.

[0055] Specifically, in one implementation manner of the embodiment, step S100 includes the following steps:

[0056] Step S101, obtaining the slope and the intercept of the inherent compression curve of the saturated soft clay under an arbitrary reference initial void ratio condition through field sampling and one-dimensional compression consolidation test method.

[0057] Step S102, determining the expression of the inherent compression curve of the saturated soft clay according to the slope and the intercept , and taking the expression of the inherent compression curve of the saturated soft clay as the soft clay equivalent compression model.

[0058] In the embodiment, the slope and the intercept of the inherent compression curve of the saturated soft clay under an arbitrary reference initial void ratio condition are obtained through field sampling and conventional one-dimensional compression consolidation test; wherein, the conventional one-dimensional compression consolidation test is a core method for determining the compression characteristics of soil in soil mechanics, mainly used for evaluating the deformation characteristics and consolidation process of saturated soil under lateral confinement.

[0059] For example, soil samples at different horizontal positions and deposition depths are taken in the field, and the slope and the intercept of the inherent compression curve under the corresponding initial void ratio are obtained through the conventional one-dimensional compression consolidation test.based on all the slopes and intercepts , the expression of the inherent compression curve of the saturated soft clay is obtained, and the expression of the inherent compression curve of the saturated soft clay is:

[0060] ;

[0061] wherein, is the inherent void ratio of the soft clay, is the effective stress, is the reference stress.

[0062] In the embodiment, for a certain research area, the expression of the inherent compression curve of the saturated soft clay of the research area can be quickly determined through the above field sampling and conventional one-dimensional compression consolidation test method, and the expression of the inherent compression curve of the saturated soft clay is taken as an equivalent compression model of the soft clay, so as to quickly calculate the tangent compression index of the to-be-tested soft clay under different initial moisture contents, liquid limits and stress levels.

[0063] As shown in Figure 1 , the embodiment of the present application provides a rapid prediction method for the compression index of soft clay based on the equivalent concept, comprising the following steps:

[0064] Step S200, obtaining the basic physical characteristic parameters of the to-be-tested soft clay.

[0065] In the embodiment, the to-be-tested soft clay (i.e. the to-be-tested sample) of the above research area is obtained through field sampling, and the basic physical characteristic parameters of the to-be-tested soft clay are obtained through indoor geotechnical test method; wherein, the basic physical characteristic parameters include: the initial void ratio and the liquid limit void ratio of the to-be-tested soft clay.

[0066] Specifically, in one implementation manner of the embodiment, step S200 comprises the following steps:

[0067] Step S201, based on the field sampling and the indoor geotechnical test results, obtaining the initial void ratio and the liquid limit void ratio of the to-be-tested soft clay, and obtaining the basic physical characteristic parameters of the to-be-tested soft clay.

[0068] In the embodiment, for the to-be-tested soft clay, the indoor geotechnical test results usually contain the following key indicators and contents:

[0069] 1) basic physical property indicators:

[0070] ‌density and pore characteristics, for example, wet density (1.82 g / cm 3), dry density (1.46 g / cm 3 ), void ratio (0.811), porosity (44.8%) and saturation (79.5%).

[0071] 2) Water content and limit water content:

[0072] For example, liquid limit, plastic limit and plasticity index are used for classifying cohesive soil. Natural consistency is used for reflecting the actual state of soil.

[0073] In the embodiment, the initial void ratio and the liquid limit void ratio of the soft clay to be measured are obtained.

[0074] As shown in Figure 1 , the embodiment of the present application provides a fast prediction method for the compression index of soft clay based on the equivalent concept, which comprises the following steps:

[0075] In step S300, the basic physical characteristic parameters are substituted into the equivalent compression model of soft clay, and the compression index of the soft clay to be measured is obtained.

[0076] In step S400, the compression index of the soft clay to be measured is output.

[0077] In the embodiment, the initial void ratio and the liquid limit void ratio of the soft clay to be measured are substituted into the equivalent compression model of soft clay, so that the void ratio-stress relationship of soft clay under different initial water contents can be quickly calculated, and then the tangent compression index of soft clay under different initial water contents and stress levels can be obtained according to the void ratio-stress relationship of soft clay, thereby realizing the fast calculation of the compression index of the soft clay to be measured in the research area.

[0078] Specifically, in one implementation manner of the embodiment, step S300 comprises the following steps:

[0079] In step S301, the initial void ratio and the liquid limit void ratio of the soft clay to be measured are substituted into the equivalent compression model of soft clay, and the void ratio-stress relationship of soft clay under different initial water contents is calculated.

[0080] In step S302, the tangent compression index of soft clay under different initial water contents and stress levels is calculated according to the void ratio-stress relationship of soft clay, and the compression index of the soft clay to be measured is obtained.

[0081] In the embodiment, the initial void ratio Liquid limit porosity Substituting the equivalent compression model of the soft clay, the calculated void ratio-stress relationship of the soft clay under different initial moisture contents is as follows:

[0082] ;

[0083] in, The initial void ratio of the soft clay to be tested Compared with the reference initial porosity The difference between them To control the effect of initial moisture content on the state variable as the void ratio of soft clay changes:

[0084] ;

[0085] in, To control state variables State parameters sensitive to changes in porosity:

[0086] .

[0087] Furthermore, based on the void ratio-stress relationship of soft clay under different initial moisture contents calculated above, the tangential compression index of soft clay under different initial moisture contents and stress levels is obtained; wherein, the tangential compression index of soft clay... It is calculated using the following formula:

[0088] .

[0089] In this embodiment, based on the above calculation process, the compressibility index (i.e., the tangential compressibility index of the soft clay) of the tested soft clay can be output. ).

[0090] To verify the feasibility of the rapid prediction method for the compressibility index of soft clay based on the concept of equivalence described in this embodiment, the following experimental procedure is used for illustration:

[0091] First, in this embodiment, the proposed method is verified using compression test data of soft clay with different initial moisture content and liquid limit from existing literature. The basic physical properties of soft clay in these literatures are shown in Table 1.

[0092] Comparison of measured state parameters from soft clay compression tests in existing literature with the prediction results of this method, for example... Figure 2 As shown, the comparison results of the measured void ratio of different types of soft clay under a wide range of initial void ratio and stress level conditions and the void ratio calculated by the model in this method are as follows: Figure 3 As shown, the calculation error is less than ±0.2, proving the effectiveness of the soft clay equivalent compression model proposed in this embodiment.

[0093] Table 1: Basic physical properties of soft clay in literature

[0094]

[0095] In the above table 1, Ariake clay is a special sedimentary clay in Kyushu region of Japan; Boston Blue clay is a Boston blue clay; Attapulgite clay is a palygorskite high clay.

[0096] In this embodiment, the specific calculation case is given as follows:

[0097] In a soft clay subgrade engineering, the reference initial void ratio , the compression curve slope and the intercept in the double logarithmic coordinate system are 0.10 and 1.30 respectively, which are measured by indoor one-dimensional compression test. The initial void ratios of soil samples taken from four different horizontal positions and deposition depths are 2.43, 1.76, 1.53 and 1.13 respectively, and the liquid limit void ratios are all 1.65, which are measured by soil test. The reference initial void ratio and the liquid limit void ratio are substituted into the following formula:

[0098] ;

[0099] The state parameter can be calculated. By substituting the model parameters into the tangent compression index calculation model of soft clay, the relationship curve between the compression index of soil and effective stress under different initial moisture contents can be obtained. As shown in Figure 4 , the comparison between the calculation results and the laboratory data is shown in Figure 4 , which shows that the method proposed in this embodiment can effectively reflect the influence of initial moisture content and stress level on the compression index of soft clay.

[0100] The above technical solution achieves the following technical effects in this embodiment:

[0101] ​​The embodiment obtains model parameters of any kind of soft clay based on an indoor compression test method, and determines a soft clay equivalent compression model according to the model parameters, so that the basic physical property parameters of the soft clay to be measured can be directly substituted into the soft clay equivalent compression model, and the compression index of the soft clay to be measured is solved and output. The embodiment only needs one conventional compression test, and can realize reasonable prediction of compression characteristics of different types of soft clay under a large range of initial moisture content and stress level conditions, provides practical parameter support for infrastructure construction and geotechnical structure deformation calculation in coastal areas, significantly reduces the prediction cost of the compression characteristics of the soft clay, and improves the prediction accuracy of the compression characteristics of the soft clay.

[0102] Exemplary apparatus

[0103] Based on the above embodiment, the application further provides a soft clay compression index rapid prediction system based on an equivalent concept, comprising:

[0104] A model parameter module is configured to obtain model parameters of any kind of soft clay based on an indoor compression test method, and determine a soft clay equivalent compression model according to the model parameters.

[0105] A physical property parameter module is configured to obtain basic physical property parameters of the soft clay to be measured.

[0106] A compression index solving module is configured to substitute the basic physical property parameters into the soft clay equivalent compression model, and solve the compression index of the soft clay to be measured.

[0107] An output module is configured to output the compression index of the soft clay to be measured.

[0108] The above technical solution achieves the following technical effects:

[0109] The embodiment obtains model parameters of any kind of soft clay based on an indoor compression test method, and determines a soft clay equivalent compression model according to the model parameters, so that the basic physical property parameters of the soft clay to be measured can be directly substituted into the soft clay equivalent compression model, and the compression index of the soft clay to be measured is solved and output. The embodiment only needs one conventional compression test, and can realize reasonable prediction of compression characteristics of different types of soft clay under a large range of initial moisture content and stress level conditions, provides practical parameter support for infrastructure construction and geotechnical structure deformation calculation in coastal areas, significantly reduces the prediction cost of the compression characteristics of the soft clay, and improves the prediction accuracy of the compression characteristics of the soft clay.

[0110] Based on the above embodiment, the application further provides a terminal, and a principle block diagram thereof can be as shown in Figure 5 .

[0111] The terminal comprises a processor, a memory, an interface, a display screen and a communication module connected through a system bus; the processor of the terminal is configured to provide computing and control capabilities; the memory of the terminal comprises a computer readable storage medium and an internal memory; the computer readable storage medium stores an operating system and a computer program; the internal memory provides an environment for the operating system and the computer program in the computer readable storage medium to run; the interface is configured to connect external devices; the display screen is configured to display corresponding information; and the communication module is configured to communicate with a cloud server or other devices.

[0112] The computer program is configured to implement the operation of the method for quickly predicting a soft clay compression index based on an equivalent concept when executed by the processor.

[0113] Those skilled in the art can understand that, Figure 5 The principle block diagram shown in the figure is only a block diagram of part of the structure related to the scheme of the present application, and does not constitute a limitation on the terminal to which the scheme of the present application is applied; specifically, the terminal can comprise more or fewer components than those shown in the figure, or combine certain components, or have a different arrangement of components.

[0114] In one embodiment, a terminal is provided, comprising a processor and a memory, wherein the memory stores a program for quickly predicting a soft clay compression index based on an equivalent concept, and the program for quickly predicting a soft clay compression index based on an equivalent concept is configured to implement the operation of the method for quickly predicting a soft clay compression index based on an equivalent concept as above when executed by the processor.

[0115] In one embodiment, a computer readable storage medium is provided, wherein the computer readable storage medium stores a program for quickly predicting a soft clay compression index based on an equivalent concept, and the program for quickly predicting a soft clay compression index based on an equivalent concept is configured to implement the operation of the method for quickly predicting a soft clay compression index based on an equivalent concept as above when executed by the processor.

[0116] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiments can be completed by a computer program instructing related hardware, and the computer program can be stored in a non-volatile storage medium, and when executed, can include the processes of the above-mentioned embodiments.

[0117] In conclusion, the application provides a soft clay compression index fast prediction method, system, terminal and storage medium based on equivalent concept, comprising: obtaining model parameters of any kind of soft clay based on an indoor compression test method, and determining a soft clay equivalent compression model according to the model parameters; obtaining basic physical characteristic parameters of the soft clay to be measured; substituting the basic physical characteristic parameters into the soft clay equivalent compression model to obtain the compression index of the soft clay to be measured; and outputting the compression index of the soft clay to be measured. The application only needs one conventional compression test, and can realize reasonable prediction of compression characteristics of different types of soft clay under a wide range of initial moisture content and stress level conditions, significantly reduces the prediction cost of the compression characteristics of the soft clay, and improves the prediction accuracy of the compression characteristics of the soft clay.

[0118] It should be understood that the application is not limited to the above examples, and can be improved or changed according to the above description for those of ordinary skill in the art, and all these improvements and changes shall belong to the protection scope of the appended claims of the application.

Claims

1. A method for fast prediction of compression index of soft clay based on equivalent concept, characterized in that, The method comprises the following steps: obtaining model parameters of any kind of soft clay based on an indoor compression test method, and determining an equivalent compression model of the soft clay according to the model parameters; obtaining basic physical characteristic parameters of the soft clay to be measured; substituting the basic physical characteristic parameters into the equivalent compression model of the soft clay to obtain the compression index of the soft clay to be measured; outputting the compression index of the soft clay to be measured; the step of obtaining the basic physical characteristic parameters of the soft clay to be measured comprises the following steps: Based on the field sampling and indoor geotechnical test results, the initial void ratio of the soft clay to be tested is obtained and the liquid limit void ratio , the basic physical characteristic parameters of the soft clay to be tested are obtained the step of substituting the basic physical characteristic parameters into the equivalent compression model of the soft clay to obtain the compression index of the soft clay to be measured comprises the following steps: The initial void ratio of the soft clay to be tested and the liquid limit void ratio The void ratio-stress relationship of the soft clay under different initial water contents is calculated by substituting the equivalent compression model of the soft clay. According to the soft clay void ratio-stress relationship, the tangent compression index of the soft clay under different initial water contents and stress levels is calculated , to obtain the compression index of the soft clay to be tested The soft clay tangent compression index is calculated from the equation: ； wherein, is the void ratio of the natural soft clay, is the effective stress, is the reference stress; the difference between the initial void ratio of the soft clay to be tested and the reference initial void ratio the difference between the initial void ratio of the soft clay to be tested and for any reference initial void ratio the slope and intercept of the inherent compression curve of the saturated soft clay under the condition State variable for controlling the effect of initial water content as a function of void ratio of soft clay; to control the state variable state parameters sensitive to changes in the void ratio.

2. The method according to claim 1, wherein, the step of obtaining model parameters of any kind of soft clay based on an indoor compression test method, and determining an equivalent compression model of the soft clay according to the model parameters comprises the following steps: The inherent compression curve of saturated soft clay under arbitrary initial void ratio condition is obtained by field sampling and one-dimensional compression consolidation test method and intercept ; determining an expression of the inherent compression curve of the saturated soft clay based on the slope and the intercept determining an expression of the inherent compression curve of the saturated soft clay based on the slope and the intercept determining an expression of the inherent compression curve of the saturated soft clay based on the slope and the intercept, and taking the expression of the inherent compression curve of the saturated soft clay as the equivalent compression model of the soft clay.

3. The method according to claim 2, wherein, the expression of the inherent compression curve of the saturated soft clay is: ； wherein, is the void ratio of the natural soft clay, is the effective stress, is the reference stress.

4. The method according to claim 3, wherein, the relationship between the void ratio and stress of the soft clay under different initial water contents is: ； wherein, is the initial void ratio of the soft clay under test is the difference between the reference initial void ratio and the initial void ratio of the soft clay under test, is a state variable controlling the effect of the initial water content as a function of the void ratio of the soft clay. ； wherein for the control state variable State parameter sensitive to the change in void ratio: 。 5. A system for fast prediction of soft clay compression index based on equivalent concept for implementing the method for fast prediction of soft clay compression index based on equivalent concept as claimed in any one of claims 1 to 4, characterized in that, The method comprises the following steps: a model parameter module is configured to obtain model parameters of any kind of soft clay based on an indoor compression test method, and determine an equivalent compression model of the soft clay according to the model parameters; a physical characteristic parameter module is configured to obtain basic physical characteristic parameters of the soft clay to be measured; a compression index solving module is configured to substitute the basic physical characteristic parameters into the equivalent compression model of the soft clay to obtain the compression index of the soft clay to be measured; an output module is configured to output the compression index of the soft clay to be measured.

6. A terminal, characterized by comprising: The method comprises the following steps: a processor and a memory, wherein the memory stores a program for rapidly predicting a compression index of soft clay based on an equivalent concept, and the program is used to implement the operations of the method for rapidly predicting the compression index of soft clay based on the equivalent concept according to any one of claims 1-4 when executed by the processor.

7. A computer readable storage medium characterized in that, The computer readable storage medium stores a program for rapidly predicting a compression index of soft clay based on an equivalent concept, and the program is used to implement the operations of the method for rapidly predicting the compression index of soft clay based on the equivalent concept according to any one of claims 1-4 when executed by the processor.

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