Prediction method of soil permeability coefficient and related equipment

Abstract

An embodiment of the present invention provides a method and related equipment for predicting soil permeability coefficient, which can reduce the testing time of the dry density soil permeability coefficient and improve the calculation efficiency of the soil permeability coefficient. The method includes: determining the standard pore permeability coefficient of the target dry density soil; determining first pore size distribution information corresponding to the target dry density soil and second pore size distribution information corresponding to the dry density soil to be measured, wherein the dry density soil to be measured and the target dry density soil have different dry densities; determining the pore permeability coefficient to be measured corresponding to the dry density soil to be measured based on a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient; and determining the soil permeability coefficient corresponding to the dry density soil to be measured based on the pore permeability coefficient to be measured.

Description

Technical Field

[0001] The present invention relates to the field of civil engineering, and in particular to a method for predicting soil permeability coefficient and related equipment. Background Art

[0002] The permeability coefficient of soil is closely related to the stability of foundation pits, earth-rock dams, and the normal operation of landfills. Therefore, accurately and quickly calculating the permeability coefficient is of great significance to the safe construction and economic benefits of geotechnical engineering.

[0003] Currently, the main methods for determining soil permeability coefficient are constant head method and variable head method. However, both constant head method and variable head method are time-consuming to test the permeability system of soil. Summary of the Invention

[0004] The embodiment of the present invention provides a soil permeability coefficient prediction method and related equipment, which can reduce the test time of the dry density soil permeability coefficient and improve the calculation efficiency of the soil permeability coefficient.

[0005] A first aspect of the present invention provides a method for predicting soil permeability coefficient, the method comprising:

[0006] Determine the standard pore permeability coefficient of the target dry density soil;

[0007] Determining first pore size distribution information corresponding to a target dry density soil body and second pore size distribution information corresponding to a dry density soil body to be measured, wherein the dry density soil body to be measured and the target dry density soil body have different dry density soil bodies;

[0008] Determining the pore permeability coefficient to be measured corresponding to the dry density soil to be measured according to a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient;

[0009] The soil permeability coefficient corresponding to the dry density soil to be measured is determined according to the pore permeability coefficient to be measured.

[0010] A second aspect of the present invention provides a device for predicting soil permeability coefficient, comprising:

[0011] The first determining unit is used to determine the standard pore permeability coefficient of the target dry density soil;

[0012] A second determining unit is configured to determine first pore size distribution information corresponding to a target dry density soil mass and second pore size distribution information corresponding to a to-be-measured dry density soil mass, wherein the to-be-measured dry density soil mass and the target dry density soil mass have different dry density soil masses;

[0013] a third determining unit, configured to determine the pore permeability coefficient to be measured corresponding to the dry density soil to be measured according to a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient;

[0014] The fourth determining unit is configured to determine the soil permeability coefficient corresponding to the dry density soil to be measured according to the pore permeability coefficient to be measured.

[0015] A third aspect of an embodiment of the present invention provides an electronic device, including a memory and a processor, wherein the processor is configured to implement the steps of the soil permeability coefficient prediction method as described in the first aspect above when executing a computer management program stored in the memory.

[0016] A fourth aspect of an embodiment of the present invention provides a computer-readable storage medium having a computer management program stored thereon. When the computer management program is executed by a processor, the steps of the soil permeability coefficient prediction method as described in the first aspect above are implemented.

[0017] In summary, it can be seen that in the embodiments provided by the present invention, by determining the standard pore permeability coefficient of the target dry density soil; determining the first pore size distribution information of the target dry density soil and the second pore size distribution information corresponding to the dry density soil to be measured, the dry density soil to be measured and the target dry density soil are different dry density soils; determining the pore permeability coefficient to be measured corresponding to the dry density soil to be measured based on the pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient; and determining the soil permeability coefficient corresponding to the dry density soil to be measured based on the pore permeability coefficient to be measured. Compared with the current variable head experiment, this method can reduce the test time of the dry density soil permeability coefficient and improve the calculation efficiency of the soil permeability coefficient. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic flow chart of a method for predicting soil permeability coefficient provided in an embodiment of the present invention;

[0019] Figure 2 A schematic diagram of a virtual structure of a device for predicting soil permeability coefficient provided by an embodiment of the present invention;

[0020] Figure 3 A schematic diagram of the hardware structure of a device for predicting soil permeability coefficient provided by an embodiment of the present invention;

[0021] Figure 4 A schematic diagram of an electronic device according to an embodiment of the present invention;

[0022] Figure 5 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0023] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without making any creative efforts shall fall within the scope of protection of the present invention.

[0024] In the following description, the specific embodiments of the present invention will be described with reference to steps and symbols performed by one or more computers, unless otherwise stated. Therefore, these steps and operations will be mentioned several times as being performed by a computer, and the computer execution referred to herein includes the operation of a computer processing unit by electronic signals representing data in a structured form. This operation converts the data or maintains it at a location in the computer's memory system, which can be reconfigured or otherwise change the operation of the computer in a manner familiar to testers in the field. The data structure in which the data is maintained is a physical location in the memory, which has specific characteristics defined by the data format. However, the principles of the present invention are described in the above text, which does not represent a limitation, and testers in the field will understand that the various steps and operations described below can also be implemented in hardware.

[0025] The principles of the present invention may be implemented and operated using many other general-purpose or special-purpose computing and communication environments or configurations. Examples of well-known computing systems, environments, and configurations suitable for use with the present invention include, but are not limited to, handheld phones, personal computers, servers, multiprocessor systems, microcomputer-based systems, mainframe computers, and distributed computing environments, including any of the aforementioned systems or devices.

[0026] The terms "first", "second" and "third" in the present invention are used to distinguish different objects rather than to describe a specific order. In addition, the terms "include" and "have" and any variations thereof are intended to cover non-exclusive inclusions.

[0027] The permeability of soil decreases with increasing dry density. Obviously, the size of the soil permeability coefficient mainly depends on the pore size, distribution, and interconnection mode of the soil skeleton. The pore structure of the soil changes with the change of soil saturation. Nuclear magnetic resonance technology uses hydrogen protons as probes to monitor the size and distribution of soil pore water. When the soil is in a saturated state, the size and distribution of pore water reflect the size and distribution of soil pores. Therefore, nuclear magnetic resonance technology can quickly provide two important information for calculating the soil permeability coefficient: pore size and distribution. Before the mercury intrusion method is used to obtain the pore size and distribution, the soil needs to be freeze-dried before pretreatment. The loss of soil moisture will change the soil pore structure. Compared with the mercury intrusion method, nuclear magnetic resonance technology has significant advantages such as being fast, non-destructive, and environmentally friendly.

[0028] Obviously, the pore channels in soil are complex. This paper idealizes the channels in the soil, assuming that they are composed of a series of cylinders with different pore sizes, with the cylinder with the smallest pore size controlling the flow rate. Combining Darcy's law and Poiseuille's law, a capillary model for calculating the permeability coefficient can be derived. This model mathematically calculates the probability of splicing between different pore sizes, thereby solving the problem of how different pore sizes can be connected.

[0029] The following describes a method for predicting soil permeability coefficient from the perspective of a soil permeability coefficient prediction device. The soil permeability coefficient prediction device may be a server or a service unit in the server, and the specific details are not limited thereto.

[0030] See also Figure 1 , Figure 1 A schematic flow chart of a method for predicting soil permeability coefficient provided in an embodiment of the present invention includes:

[0031] 101. Determine the standard pore permeability coefficient of the target dry density soil.

[0032] In this embodiment, the device for predicting the soil permeability coefficient can determine the standard pore permeability coefficient of the target dry density soil. Specifically, the standard pore permeability coefficient of the target dry density soil is determined by the following formula:

[0033]

[0034] in, is the standard pore permeability coefficient, kA is the soil permeability coefficient corresponding to the target dry density soil, qA is the unit water seepage of the target dry density soil, Ap is the pore channel cross-sectional area corresponding to the target dry density soil, i is the hydraulic gradient corresponding to the target dry density soil, and nA is the porosity corresponding to the target dry density soil;

[0035] The porosity corresponding to the target dry density soil is determined by the following formula:

[0036]

[0037] is the dry density of the target dry density soil, is the specific gravity of the target dry density soil, ρw is the density of water;

[0038] The soil permeability coefficient corresponding to the target dry density soil is determined by the following formula:

[0039]

[0040] kA is the soil permeability coefficient corresponding to the target dry density soil, a is the variable head pipe cross-sectional area corresponding to the target dry density soil, L is the seepage length corresponding to the target dry density soil, A is the soil sample cross-sectional area corresponding to the target dry density soil, t is time, h1 is the starting head, and h2 is the ending head.

[0041] It should be noted that the soil permeability coefficient prediction device can pre-calculate the standard soil pore permeability coefficient corresponding to the target dry density soil. In this way, when calculating the pore permeability coefficient of other dry density soils, the standard pore permeability coefficient corresponding to the target dry density soil can be directly obtained to calculate the soil permeability coefficient of the dry density soil to be measured.

[0042] 102. Determine first pore size distribution information corresponding to the target dry density soil and second pore size distribution information corresponding to the dry density soil to be measured.

[0043] In this embodiment, the soil permeability coefficient prediction device can determine the first pore size distribution information corresponding to the target dry density soil and the second pore size distribution information corresponding to the dry density soil to be measured. The dry density soil to be measured and the target dry density soil have different dry densities. Specifically, the soil permeability coefficient prediction device can scan the dry density soil to be measured through the CPMG pulse sequence of nuclear magnetic resonance, and the recorded spin echo train can be mathematically inverted to obtain the T corresponding to the dry density soil to be measured. 2i The time distribution curve is obtained, and the pore size distribution information of the soil is determined based on the time distribution curve and the pore radius corresponding to the soil. Assuming that the pore shape of the saturated soil sample is cylindrical, T 2i Time and pore radius R i The relationship:

[0044]

[0045] Among them, T 2i is the time distribution curve corresponding to the dry density of the soil to be measured, ρ2 is the lateral relaxation rate, D iis the pore diameter, T 2i The peak area of ​​the time distribution curve is positively correlated with the water content of the soil to be tested for dry density. 2i The vertical coordinates of the time distribution curve are accumulated and summed to get the total signal quantity. 2i The vertical axis is divided by the total signal amount to obtain each T 2i Distribution probability f(T 2i ), that is, the probability of each aperture appearing (saturated soil).

[0046] It should be noted that the soil permeability coefficient prediction device can determine the standard pore permeability coefficient corresponding to the target dry density soil through step 101, and can determine the first pore size distribution information corresponding to the target dry density soil and the second pore size distribution information corresponding to the dry density soil to be measured through step 102. However, there is no restriction on the order of execution between these two steps. Step 101 can be executed first, or step 102 can be executed first, or they can be executed simultaneously. There is no specific limitation.

[0047] 103. Determine the pore permeability coefficient to be measured corresponding to the dry density soil to be measured based on the pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient.

[0048] In this embodiment, the soil permeability coefficient prediction device can first determine the first pore parameter corresponding to the target dry density soil based on the capillary permeability model and the first pore size distribution information, and determine the second pore parameter corresponding to the dry density soil to be measured based on the second pore size distribution information and the capillary permeability model; finally, the pore permeability coefficient to be measured is determined based on the first pore parameter, the second pore parameter, and the standard pore permeability parameter. A detailed description is provided below:

[0049] According to the idea of ​​Poiseuille equation, the minimum capillary channel controls the flow of the capillary channels in series. p When cylindrical capillaries of different diameters are connected in series, the channel diameter and The probability of connection is The slow flow of water in the soil pores is laminar flow, which conforms to Darcy's law. Combining Darcy's law and Poiseuille's law, a capillary permeability model can be derived:

[0050]

[0051] Among them, g is the acceleration of gravity, μ is the viscosity coefficient of water, and m is the pore size classification level. is the diameter of the i-th level channel, Pick The minimum value, is the probability of the i-th level channel appearing, Np is the number of cylindrical capillaries that make up the water flow path, and the formula N p =11.587-8.423exp(-0.0096Ip) calculation, N in p Take an integer, IP is the plasticity index. Substituting formula 1 into formula 2, we can get formula 3 for calculating the soil pore permeability coefficient, as follows:

[0052]

[0053] in, Pick The minimum value in .

[0054] The standard pore permeability coefficient of the target dry density soil has been determined through the variable head experiment. At the same time, the pore size distribution information of the dry density soil to be measured and the target dry density soil to be measured is obtained by the nuclear magnetic resonance CPMG pulse sequence, and the formula 3 for calculating the pore permeability coefficient of the soil is obtained above. Therefore, the pore permeability coefficient to be measured corresponding to the dry density soil to be measured can be determined by the following formula:

[0055]

[0056] in, is the pore permeability coefficient to be measured, (PSP) B is the second pore parameter, (PSP) A is the first pore parameter, is the standard pore permeability coefficient, the probability Equal to probability That is to say, the standard pore permeability parameter of the target dry density soil can be calculated in two ways. One is to calculate it as in step 101, and the other is to calculate it by formula 3 of the soil pore permeability coefficient. The soil pore permeability coefficient of the target dry density soil can be calculated by formula 3, from which the above formula can be derived.

[0057] The second pore parameter can be calculated by the following formula:

[0058]

[0059] Among them, PSP B is the second pore parameter, n B is the porosity corresponding to the dry density of the soil to be measured, N p is the number of cylindrical capillaries that make up the water flow path, Pick The minimum value in T 2iis the time distribution curve corresponding to the dry density of the soil to be measured, f((T 2i ) B ) is T 2i The distribution probability of the target dry density soil can also be calculated using the above formula. The specific code is as follows:

[0060]

[0061]

[0062] It should be noted that the first pore parameter PSP A The calculation method of the second pore parameter PSP B The calculation method of is similar, which has been explained above and will not be repeated here.

[0063] 104. Determine the soil permeability coefficient corresponding to the dry density soil to be measured based on the pore permeability coefficient to be measured.

[0064] In this embodiment, after determining the target pore permeability coefficient corresponding to the dry density soil to be measured, the soil permeability coefficient prediction device can determine the soil permeability coefficient corresponding to the dry density soil to be measured based on the target pore permeability parameter. Specifically, the soil permeability coefficient corresponding to the dry density soil to be measured can be calculated using the following formula:

[0065]

[0066] Among them, k B is the soil permeability coefficient corresponding to the dry density soil to be measured, is the pore permeability coefficient to be measured, n B is the porosity corresponding to the soil with dry density to be measured, is the dry density of the soil to be tested, is the specific gravity of the soil to be tested for dry density, ρ w is the density of water.

[0067] In the embodiment provided by the present invention, the standard pore permeability coefficient of a target dry density soil is determined; first pore size distribution information of the target dry density soil and second pore size distribution information corresponding to the dry density soil to be measured are determined, and the dry density soil to be measured and the target dry density soil have different dry densities; the pore permeability coefficient to be measured corresponding to the dry density soil to be measured is determined based on a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient; and the soil permeability coefficient corresponding to the dry density soil to be measured is determined based on the pore permeability coefficient to be measured. Compared with current variable head experiments, this method can reduce the testing time of the dry density soil permeability coefficient and improve the efficiency of calculating the soil permeability coefficient.

[0068] To facilitate understanding, the following is an explanation with specific examples:

[0069] First determine the permeability coefficient of each dry density soil:

[0070] After drying the soil that has passed through a 2mm sieve, distilled water was added to make the soil have a moisture content of 15%. The soil was compacted layer by layer using a stainless steel ring cutter with a diameter × height of 61.8mm × 40mm. The dry density was 1.4g / cm 3 , 1.5g / cm 3 , 1.6g / cm 3 The permeability coefficient of the sample was tested by the variable head experiment. Calculate the dry density of each 1.4g / cm 3 , 1.5g / cm 3 , 1.6g / cm 3 The permeability coefficient of the soil is 4.41×10 -6 cm / s, 1.72×10 -6 cm / s, 0.65×10 -6 cm / s. Then through the formula Calculate the corresponding pore permeability coefficient, n is the porosity, through the formula Calculate the porosity.

[0071] Then, nuclear magnetic resonance is used to find the pore size and distribution of each dry density soil:

[0072] After drying the soil that has passed through a 2mm sieve, distilled water was added to make the soil have a moisture content of 15%. The soil was compacted layer by layer using a polytetrafluoroethylene ring cutter with a diameter × height of 40mm × 20mm. The dry density was 1.4g / cm 3 , 1.5g / cm 3 , 1.6g / cm 3 Each sample was placed in a nuclear magnetic instrument and the T of each dry density soil was measured using a CPMG pulse sequence. 2i Time distribution curve. Assuming that the pore shape of the saturated soil sample is cylindrical, we can get T 2i Time and pore radius R i The relationship:

[0073] The dry density calculated above is 1.6 g / cm 3 The soil pore permeability coefficient is 9.00×10 -6 cm / s. The dry density was 1.4 g / cm obtained by the CPMG pulse sequence. 3 , 1.5g / cm 3 , 1.6g / cm 3The pore size and distribution of the soil are then used to calculate the dry density to be 1.5 g / cm 3 The pore permeability coefficient is:

[0074]

[0075] in, and The dry density is 1.5g / cm 3 , 1.6g / cm 3 The pore permeability coefficient of the soil. From this, the dry density of 1.5g / cm 3 The pore permeability coefficient of the soil can be calculated by the same method, and the density can be calculated as 1.4g / cm 3 The pore permeability coefficient of the soil.

[0076] Then through the formula As shown in Table 1, the predicted values ​​of the soil permeability coefficients corresponding to various dry density soils are close to the actual measured values, indicating that the present invention has a good ability to predict the permeability coefficients.

[0077] Table 1

[0078]

[0079]

[0080] The above describes the embodiment of the present invention from the perspective of a method for predicting soil permeability coefficient. The following describes the embodiment of the present invention from the perspective of a device for predicting soil permeability coefficient.

[0081] See also Figure 2 , a virtual structural diagram of a device for predicting soil permeability coefficient according to an embodiment of the present invention, wherein the device 200 for predicting soil permeability coefficient comprises:

[0082] The first determining unit 201 is used to determine the standard pore permeability coefficient of the target dry density soil;

[0083] The second determining unit 202 is configured to determine first pore size distribution information corresponding to a target dry density soil mass and second pore size distribution information corresponding to a dry density soil mass to be measured, wherein the dry density soil mass to be measured and the target dry density soil mass have different dry densities;

[0084] The third determining unit 203 is configured to determine the pore permeability coefficient to be measured corresponding to the dry density soil to be measured according to the pre-built capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient;

[0085] The fourth determining unit 204 is configured to determine the soil permeability coefficient corresponding to the dry density soil to be measured according to the pore permeability coefficient to be measured.

[0086] In one possible design, the third determining unit 203 is specifically configured to:

[0087] Determining a first pore parameter corresponding to the target dry density soil according to the capillary permeability model and the first pore size distribution information;

[0088] Determining a second pore parameter corresponding to the soil mass with a dry density to be measured according to the capillary permeability model and the second pore size distribution information;

[0089] The pore permeability coefficient to be measured is determined according to the first pore parameter, the second pore parameter and the standard pore permeability parameter.

[0090] In one possible design, the third determining unit 203 is further specifically configured to:

[0091] The permeability coefficient of the pore to be measured is determined by the following formula:

[0092]

[0093] in, is the pore permeability coefficient to be measured, (PSP) B is the second pore parameter, (PSP) A The first pore parameter, is the standard pore permeability coefficient.

[0094] In one possible design, the third determining unit 203 is further specifically configured to:

[0095] The second pore parameter is determined by the following formula:

[0096]

[0097] Among them, PSP B is the second pore parameter, n B is the porosity corresponding to the dry density soil to be measured, N p is the number of cylindrical capillaries that make up the water flow path, Pick The minimum value in T 2i is the time distribution curve corresponding to the dry density soil to be measured, f((T 2i ) B ) is T 2i The distribution probability of

[0098] In one possible design, the fourth determining unit 204 is specifically configured to:

[0099] The soil permeability coefficient corresponding to the dry density soil to be measured is determined by the following formula:

[0100]

[0101] Wherein, kB is the soil permeability coefficient corresponding to the dry density soil to be measured, is the pore permeability coefficient to be measured, nB is the porosity corresponding to the dry density soil to be measured, is the dry density of the soil to be measured, is the specific gravity of the soil to be measured for dry density, and ρw is the density of water.

[0102] In one possible design, the first determining unit 201 is specifically configured to:

[0103] The standard pore permeability coefficient is determined by the following formula:

[0104]

[0105] in, is the standard pore permeability coefficient, kA is the soil permeability coefficient corresponding to the target dry density soil, qA is the unit water seepage rate of the target dry density soil, Ap is the pore channel cross-sectional area corresponding to the target dry density soil, i is the hydraulic gradient corresponding to the target dry density soil, and nA is the porosity corresponding to the target dry density soil;

[0106] The porosity corresponding to the target dry density soil is determined by the following formula:

[0107]

[0108] is the dry density of the target dry density soil, is the specific gravity of the target dry density soil, ρw is the density of water;

[0109] The soil permeability coefficient corresponding to the target dry density soil is determined by the following formula:

[0110]

[0111] kA is the soil permeability coefficient corresponding to the target dry density soil, a is the variable head pipe cross-sectional area corresponding to the target dry density soil, L is the seepage length corresponding to the target dry density soil, A is the soil sample cross-sectional area corresponding to the target dry density soil, t is time, h1 is the starting head, and h2 is the ending head.

[0112] In one possible design, the second determining unit 202 is specifically configured to:

[0113] Scanning the soil body to be measured for dry density by a CPMG pulse sequence of nuclear magnetic resonance to determine a time distribution curve;

[0114] The pore size distribution information corresponding to the dry density soil to be measured is constructed according to the time distribution curve:

[0115]

[0116] Among them, T 2i is the time distribution curve corresponding to the dry density soil to be measured, ρ2 is the lateral relaxation rate, D i is the pore diameter.

[0117] above Figure 2 The soil permeability coefficient prediction device in the embodiment of the present invention is described from the perspective of modular functional entities. The soil permeability coefficient prediction device in the embodiment of the present invention is described in detail from the perspective of hardware processing. Figure 3 , a schematic diagram of an embodiment of a soil permeability coefficient prediction device 300 in an embodiment of the present invention, the soil permeability coefficient prediction device 300 includes:

[0118] Input device 301, output device 302, processor 303 and memory 304 (wherein the number of processor 303 can be one or more, Figure 3 In some embodiments of the present invention, the input device 301, the output device 302, the processor 303 and the memory 304 may be connected via a communication bus or other means, wherein: Figure 3 The communication bus connection is taken as an example.

[0119] By calling the operation instructions stored in the memory 304, the processor 303 is configured to execute the following steps:

[0120] Determine the standard pore permeability coefficient of the target dry density soil;

[0121] Determining first pore size distribution information corresponding to a target dry density soil body and second pore size distribution information corresponding to a dry density soil body to be measured, wherein the dry density soil body to be measured and the target dry density soil body have different dry density soil bodies;

[0122] Determining the pore permeability coefficient to be measured corresponding to the dry density soil to be measured according to a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient;

[0123] The soil permeability coefficient corresponding to the dry density soil to be measured is determined according to the pore permeability coefficient to be measured.

[0124] By calling the operation instructions stored in the memory 304, the processor 303 is also used to execute Figure 1 Any method in the corresponding embodiment.

[0125] See also Figure 4 , Figure 4 A schematic diagram of an electronic device according to an embodiment of the present invention.

[0126] like Figure 4 As shown, an embodiment of the present invention provides an electronic device, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor 420. When the processor 420 executes the computer program 411, the following steps are implemented:

[0127] Determine the standard pore permeability coefficient of the target dry density soil;

[0128] Determining first pore size distribution information corresponding to a target dry density soil body and second pore size distribution information corresponding to a dry density soil body to be measured, wherein the dry density soil body to be measured and the target dry density soil body have different dry density soil bodies;

[0129] Determining the pore permeability coefficient to be measured corresponding to the dry density soil to be measured according to a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient;

[0130] The soil permeability coefficient corresponding to the dry density soil to be measured is determined according to the pore permeability coefficient to be measured.

[0131] In the specific implementation process, when the processor 420 executes the computer program 411, it can achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0132] Since the electronic device introduced in this embodiment is a device used to implement a soil permeability coefficient prediction device in an embodiment of the present invention, based on the method introduced in the embodiment of the present invention, technical personnel in this field can understand the specific implementation of the electronic device of this embodiment and its various variations. Therefore, how the electronic device implements the method in the embodiment of the present invention will not be introduced in detail here. As long as the equipment used by technical personnel in this field to implement the method in the embodiment of the present invention falls within the scope of protection of the present invention.

[0133] See also Figure 5 , Figure 5 A schematic diagram of an embodiment of a computer-readable storage medium provided in an embodiment of the present invention.

[0134] like Figure 5 As shown, an embodiment of the present invention further provides a computer-readable storage medium 500, on which a computer program 511 is stored. When the computer program 511 is executed by a processor, the following steps are implemented:

[0135] Determine the standard pore permeability coefficient of the target dry density soil;

[0136] Determining first pore size distribution information corresponding to a target dry density soil body and second pore size distribution information corresponding to a dry density soil body to be measured, wherein the dry density soil body to be measured and the target dry density soil body have different dry density soil bodies;

[0137] Determining the pore permeability coefficient to be measured corresponding to the dry density soil to be measured according to a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient;

[0138] The soil permeability coefficient corresponding to the dry density soil to be measured is determined according to the pore permeability coefficient to be measured.

[0139] In the specific implementation process, the computer program 511 is executed by the processor to achieve Figure 1 Any implementation manner in the corresponding embodiments.

[0140] It should be noted that, in the above embodiments, the description of each embodiment has its own focus. For parts that are not described in detail in a certain embodiment, reference can be made to the relevant description of other embodiments.

[0141] It will be understood by those skilled in the art that embodiments of the present invention may be provided as methods, systems, or computer program products. Thus, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware. Furthermore, the present invention may take the form of a computer program product implemented on one or more computer-usable storage media (including but not limited to magnetic disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0142] The present invention is described with reference to flowcharts and / or block diagrams of methods, devices (systems), and computer program products according to embodiments of the present invention. It should be understood that each process and / or block in the flowcharts and / or block diagrams, as well as combinations of processes and / or blocks in the flowcharts 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, a special-purpose computer, an embedded computer, or other programmable data processing device to produce a machine, so that the instructions executed by the processor of the computer or other programmable data processing device generate instructions for implementing the processes in the flowcharts and / or block diagrams. Figure 1a process or multiple processes and / or boxes Figure 1 A device that provides the functions specified in a block or multiple blocks.

[0143] These computer program instructions may also be stored in a computer readable memory that can direct a computer or other programmable data processing device to work in a specific manner, so that the instructions stored in the computer readable memory produce an article of manufacture comprising an instruction device, which implements the process Figure 1 a process or multiple processes and / or boxes Figure 1 The function specified in one or more boxes.

[0144] These computer program instructions can also be loaded onto a computer or other programmable data processing device so that a series of operational steps are executed on the computer or other programmable device to produce a computer-implemented process, thereby providing the instructions executed on the computer or other programmable device for implementing the process. Figure 1 a process or multiple processes and / or boxes Figure 1 A step that specifies a function in one or more boxes.

[0145] The embodiment of the present invention also provides a computer program product, which includes computer software instructions. When the computer software instructions are executed on a processing device, the processing device executes the following Figure 1 The process in the corresponding embodiment.

[0146] The computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, the processes or functions described in accordance with the embodiments of the present invention are generated in whole or in part. The computer may be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions may be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, the computer instructions may be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via a wired (e.g., coaxial cable, optical fiber, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless, microwave, etc.) method. The computer-readable storage medium may be any available medium that can be stored on a computer or a data storage device such as a server or data center that includes one or more available media. The available medium may be a magnetic medium (e.g., a floppy disk, hard disk, tape), an optical medium (e.g., a DVD), or a semiconductor medium (e.g., a solid-state drive (SSD)).

[0147] Those skilled in the art will clearly understand that, for the convenience and brevity of description, the specific working processes of the systems, devices and units described above can refer to the corresponding processes in the aforementioned method embodiments and will not be repeated here.

[0148] As described above, the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit the same. Although the present invention has been described in detail with reference to the above embodiments, those skilled in the art should understand that the technical solutions described in the above embodiments can still be modified, or some of the technical features thereof can be replaced by equivalents. However, these modifications or replacements do not deviate the essence of the corresponding technical solutions from the spirit and scope of the technical solutions of the embodiments of the present invention.

Claims

1. A method for predicting soil permeability coefficient, characterized in that: include: Determine the standard pore permeability coefficient of the target dry density soil; Determining first pore size distribution information corresponding to a target dry density soil body and second pore size distribution information corresponding to a dry density soil body to be measured, wherein the dry density soil body to be measured and the target dry density soil body have different dry density soil bodies; Determining the pore permeability coefficient to be measured corresponding to the dry density soil to be measured according to a pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient; Determining the soil permeability coefficient corresponding to the soil with the dry density to be measured according to the pore permeability coefficient to be measured; The determining of the pore permeability coefficient to be measured corresponding to the dry density soil to be measured according to the pre-constructed capillary permeability model, the first pore size distribution information, the second pore size distribution information, and the standard pore permeability coefficient includes: Determining a first pore parameter corresponding to the target dry density soil according to the capillary permeability model and the first pore size distribution information; Determining a second pore parameter corresponding to the soil mass with a dry density to be measured according to the capillary permeability model and the second pore size distribution information; Determining the pore permeability coefficient to be measured according to the first pore parameter, the second pore parameter and the standard pore permeability parameter; The determining the pore permeability coefficient to be measured according to the first pore parameter, the second pore parameter and the standard pore permeability parameter includes: The permeability coefficient of the pore to be measured is determined by the following formula: Among them, k pB is the pore permeability coefficient to be measured, PSP B is the second pore parameter, PSP A The first pore parameter, is the standard pore permeability coefficient, the first pore parameter PSP A The calculation method of the second pore parameter PSP B is calculated in the same way; The method further comprises: The second pore parameter is determined by the following formula: Among them, PSP B is the second pore parameter, n B is the porosity corresponding to the dry density soil to be measured, N p is the number of cylindrical capillaries that make up the water flow path, Pick The minimum value in T 2i is the time distribution curve corresponding to the dry density soil to be measured, f((T 2i ) B ) is T 2i The distribution probability of The step of determining the soil permeability coefficient corresponding to the dry density soil to be measured according to the pore permeability coefficient to be measured includes: The soil permeability coefficient corresponding to the dry density soil to be measured is determined by the following formula: Among them, k B is the soil permeability coefficient corresponding to the dry density soil to be measured, is the pore permeability coefficient to be measured, n B is the porosity corresponding to the dry density soil to be measured, is the dry density of the soil to be measured, is the specific gravity of the dry density soil to be measured, ρ w is the density of water.

2. The method according to claim 1, characterized in that The standard pore permeability coefficient of the target dry density soil mass is determined as follows: The standard pore permeability coefficient is determined by the following formula: in, is the standard pore permeability coefficient, k A is the soil permeability coefficient corresponding to the target dry density soil, q A is the unit water seepage of the target dry density soil, A p is the pore channel cross-sectional area corresponding to the target dry density soil, i is the hydraulic gradient corresponding to the target dry density soil, n A is the porosity corresponding to the target dry density soil; The porosity corresponding to the target dry density soil is determined by the following formula: is the dry density of the target dry density soil, is the specific gravity of the target dry density soil, ρ w is the density of water; The soil permeability coefficient corresponding to the target dry density soil is determined by the following formula: k A is the soil permeability coefficient corresponding to the target dry density soil, a is the variable head pipe cross-sectional area corresponding to the target dry density soil, L is the seepage length corresponding to the target dry density soil, A is the soil sample cross-sectional area corresponding to the target dry density soil, t is time, h1 is the starting head, and h2 is the ending head.

3. The method according to claim 1, characterized in that The pore size distribution information corresponding to the dry density of the soil to be measured includes: Scanning the soil body to be measured for dry density by a CPMG pulse sequence of nuclear magnetic resonance to determine a time distribution curve; The pore size distribution information corresponding to the dry density soil to be measured is constructed according to the time distribution curve: Among them, T 2i is the time distribution curve corresponding to the dry density soil to be measured, ρ2 is the lateral relaxation rate, D i is the pore diameter.

4. An electronic device, characterized in that: include: A memory and a processor, wherein the processor is configured to implement the soil permeability coefficient prediction method as described in any one of claims 1 to 3 when executing a computer management program stored in the memory.

5. A computer-readable storage medium storing a computer management program, characterized in that: When the computer management program is executed by the processor, the soil permeability coefficient prediction method according to any one of claims 1 to 3 is implemented.

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