CN115544906A - Expansive soil slope seepage instability prediction method and system and terminal equipment - Google Patents
Expansive soil slope seepage instability prediction method and system and terminal equipment Download PDFInfo
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Abstract
The application relates to the field of landslide monitoring and early warning, in particular to a method, a system and terminal equipment for predicting the seepage instability of an expansive soil side slope, wherein the method comprises the steps of acquiring a key factor of the seepage instability of the expansive soil side slope; establishing an expansive soil slope instability model based on the key factors; calculating to obtain a critical state value of the instability of the expansive soil slope based on the instability model of the expansive soil slope; obtaining the displacement change rate of the expansive soil through a sensor pre-buried in the expansive soil; judging a target instability risk interval and a target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value; and obtaining a prediction result of the seepage instability of the expansive soil slope according to the target instability risk interval and the target expansion displacement grade. The target risk interval and the target expansion displacement grade are combined, the stability of the expansive soil slope is judged, and the judgment result is more accurate.
Description
Technical Field
The application relates to the field of landslide monitoring and early warning, in particular to a method and a system for predicting seepage instability of an expansive soil side slope and terminal equipment.
Background
The expansive soil is cohesive soil which is characterized in that clay components in soil mainly comprise hydrophilic minerals, has two deformation characteristics of remarkable water absorption expansion and water loss shrinkage, is extremely unstable in property and has the characteristics of non-uniformity and random distribution of soil composition.
The expansive soil side slope formed by the expansive soil has a unstable structure, and the expansive soil can displace when absorbing water or losing water, so that the safety of the side slope is affected.
For the related technologies, the detection of the expansive soil slope is mainly judged according to parameters such as the shape of the slope, the accumulated displacement and the like, but a specific quantitative value is not given, and whether the expansive soil slope is in a safe state cannot be accurately predicted.
Disclosure of Invention
In order to more accurately predict the stability of the expansive soil slope, the application provides a method, a system and a terminal device for predicting the seepage instability of the expansive soil slope.
The method, the system and the terminal device for predicting the infiltration instability of the expansive soil slope adopt the following technical scheme:
a method for predicting the seepage instability of an expansive soil slope comprises the steps of obtaining key factors of the instability of the expansive soil slope;
establishing an expansive soil slope instability model based on the key factors;
calculating to obtain a critical state value of the instability of the expansive soil slope based on the instability model of the expansive soil slope;
obtaining the displacement change rate of the expansive soil through a sensor pre-buried in the expansive soil;
judging a target instability risk interval and a target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value;
and obtaining a prediction result of the seepage instability of the expansive soil slope by the target instability risk interval and the target expansion displacement grade.
By adopting the technical scheme, the expansive soil slope instability model is established according to key factors influencing the stability of the expansive soil slope, then the critical state values are calculated according to the expansive soil slope instability model, the critical state values are different in size, the expressed stability of the expansive soil slope is different, then the expansive soil displacement change rate is the detected instantaneous state according to the displacement change rate of the expansion diagram, the target risk interval and the target expansion displacement grade are combined, the stability of the expansive soil slope is judged, and the judgment result is more accurate.
Optionally, the key factors include fracture width, fracture zone depth, saturation permeability coefficient of soil on the surface layer of the bank slope, cohesive force and internal friction angle. .
By adopting the technical scheme, the factors which can influence the stability of the expansion diagram slope through experiments and simulation are determined according to the crack width, the depth of the crack area, the saturation permeability coefficient of the surface soil body of the bank slope, the cohesive force and the internal friction angle.
Optionally, the establishing of the swelling soil slope instability model based on the key factor includes:
the expansive soil slope instability model comprises the following steps:
wherein A1 and A2 are soil pressure correction coefficients, B1 and B2 are water content correction coefficients, C1 and C2 are gray level entropy correction coefficients, and omega t Is the saturated permeability coefficient of the surface soil body of the bank slope h t The depth of the fracture zone is the depth of the fracture zone,
in order to achieve the cohesion and the internal friction angle,
the crack width is defined, alpha and beta are correction coefficients, 1 is respectively taken when the water content depth change value and the crack rate are accurately measured, and delta tau is the critical state of the expansive soil slope instability.
By adopting the technical scheme, the overall change trend of the expansive soil slope can be obtained according to the expansive map slope instability model, namely the expansive soil slope is in a stable state, a critical state or an unstable state.
Optionally, the critical state value is greater than zero, equal to zero, or less than zero;
if the critical state value is larger than zero, the instability of the corresponding expansive soil slope is a high instability risk interval;
when the critical state of the expansive soil slope instability is equal to zero, the expansive soil slope instability is in a medium risk level;
and when the instability critical state of the expansive soil side slope is less than zero, the instability of the expansive soil side slope is in a risk-free level.
By adopting the technical scheme, when the critical state is greater than zero, the expansive soil slope is in a very dangerous condition, landslide can possibly occur at any time, when the critical state is equal to zero, the expansive soil slope is in a dangerous state, landslide can possibly occur, and when the critical state is less than zero, the expansive soil slope is in a safe state.
Optionally, the obtaining the displacement change rate of the expansive soil through a sensor pre-buried in the expansive soil includes:
acquiring the displacement of the expansive soil at the previous moment and the displacement of the expansive soil at the current moment through a sensor;
obtaining displacement variation based on the displacement of the expansive soil at the previous moment and the displacement of the expansive soil at the current moment;
obtaining a displacement time difference based on the previous moment and the current moment;
and obtaining the displacement change rate of the expansive soil based on the displacement change quantity and the displacement time difference.
Through adopting above-mentioned technical scheme, through pre-buried sensor in the inflation soil, can obtain the inflation soil displacement volume of two different time points, then according to the time difference of two time points, can obtain in the unit interval, the displacement rate of change of inflation soil, according to the displacement rate of change of unit interval, can know the current inflation condition of inflation soil, be convenient for judge the stability of inflation soil.
Optionally, the determining a target instability risk interval and a target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value includes:
when the critical state value is larger than zero, determining that a target instability risk interval of the expansive soil slope instability is a high instability risk interval;
when the critical state value is equal to zero, determining that a target instability risk interval of the expansive soil slope instability is a medium instability risk interval;
when the critical state value is less than zero, determining that a target instability risk interval of the expansive soil slope instability is a low instability risk interval;
determining a target expansion displacement grade according to the target instability risk interval and the displacement change rate of the expansive soil;
the target expansion displacement levels comprise a first safety level, a second safety level, a third safety level and a fourth safety level;
determining a target range of the expansive soil displacement change rate, wherein the target range comprises a first range, a second range, a third range and a fourth range, the first range is smaller than the second range, the second range is smaller than the third range, and the third range is smaller than the fourth range;
when the displacement change rate of the expansive soil is in the first range, the expansive soil is in a first safety level;
when the displacement change rate of the expansive soil is in the second range, the expansive soil is in a second safety level;
when the displacement change rate of the expansive soil is in the first range, the expansive soil is in a third safety level;
and when the displacement change rate of the expansive soil is in the first range, the expansive soil is in a fourth safety level.
By adopting the technical scheme, in the instability risk intervals of different targets, in order to more accurately predict the current stable state of the expansive soil, the target instability interval is divided into four safety levels according to the displacement change rate of the expansive soil, and prediction is more accurate.
Optionally, the obtaining of the prediction result of the expansive soil slope seepage instability includes:
based on the prediction result, positioning the instability position of the expansive soil;
and sending out early warning information based on the instability position.
By adopting the technical scheme, when the prediction result is medium risk and high risk, the position where the expansive soil slope is possibly unstable is located according to the installation position of the sensor, and then early warning information is sent according to the unstable position to remind a worker to timely maintain, so that accidents are prevented.
In a second aspect, the application provides a swelling soil slope seepage instability prediction system, which adopts the following technical scheme:
an expansive soil slope infiltration instability prediction system, comprising:
the first acquisition module is used for acquiring key factors of the expansive soil slope instability;
the establishing module is used for establishing an expansive soil slope instability model based on the key factors;
the calculation module is used for calculating and obtaining a critical state value of the expansive soil slope instability based on the expansive soil slope instability model;
the second acquisition module is used for acquiring the displacement change rate of the expansive soil through a sensor pre-embedded in the expansive soil;
the judging module is used for judging a target instability risk interval and a target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value;
and the prediction module is used for obtaining a prediction result of the infiltration instability of the expansive soil slope according to the target instability risk interval and the target expansion displacement grade.
By adopting the technical scheme, the first acquisition module acquires key factors of expansive soil slope instability, the establishment module establishes an expansive soil slope instability model according to the key factors of the expansive soil slope instability, the calculation module calculates and obtains a critical state value according to the expansive soil slope instability model, the second acquisition module obtains a expansive soil displacement change rate according to data acquired by the sensor, the judgment module judges a target instability risk interval and a target expansion displacement grade according to the expansive soil displacement change rate and the critical state value, and the prediction module predicts the current target risk interval of expansive soil and the target expansion displacement grade in the target risk interval to generate a prediction result. The target risk interval and the target expansion displacement grade are combined, the stability of the expansive soil slope is judged, and the judgment result is more accurate.
In a third aspect, the present application provides a terminal device, which adopts the following technical solution:
a terminal device comprising a memory, a processor, said memory storing a computer program operable on the processor, said processor when loading and executing said computer program employing the method of any of the above.
By adopting the technical scheme, the computer program is generated by the method and stored in the memory so as to be loaded and executed by the processor, so that the terminal equipment is manufactured according to the memory and the processor, and the use is convenient.
To sum up, this application includes following beneficial technological effect:
the method comprises the steps of establishing an expansive soil slope instability model according to key factors which can influence the stability of an expansive soil slope, calculating critical state values according to the expansive soil slope instability model, wherein the critical state values are different in size and represent different stabilities of the expansive soil slope, combining a target risk interval and a target expansion displacement grade according to the displacement change rate of an expansion diagram and taking the displacement change rate of the expansive soil as a detected instantaneous state, and judging the stability of the expansive soil slope, wherein the judgment result is more accurate.
Drawings
FIG. 1 is a flowchart of a method for predicting infiltration instability of an expansive soil slope according to an embodiment of the present application;
FIG. 2 is a flow chart of a method for critical state values according to an embodiment of the present application;
FIG. 3 is a flowchart of a method for obtaining a displacement change rate of expansive soil through a sensor pre-buried in the expansive soil according to an embodiment of the present application;
fig. 4 is a flowchart of a method for determining a target instability risk interval and a target expansive displacement grade of an expansive soil slope according to a expansive soil displacement change rate and a critical state value in the embodiment of the present application;
FIG. 5 is a graph illustrating predicted results according to an embodiment of the present application;
FIG. 6 is a flowchart of a method after obtaining a prediction result of expansive soil slope infiltration instability according to an embodiment of the present application;
fig. 7 is a system block diagram of a swelling soil slope infiltration instability prediction system according to an embodiment of the present application.
Description of reference numerals:
1. a first acquisition module; 2. establishing a module; 3. a calculation module; 4. a second acquisition module; 5. a judgment module; 6. and a prediction module.
Detailed Description
The present application is described in further detail below with reference to the accompanying drawings.
The embodiment of the application discloses a method for predicting the seepage instability of an expansive soil slope, which comprises the following steps of with reference to fig. 1:
s100, obtaining key factors of the instability of the expansive soil slope.
Specifically, the expansive soil slope instability is the phenomenon that when the expansive soil absorbs water or loses water, the soil can expand or contract to generate displacement, so that the slope is possibly unstable in structure and landslide, and the key factors are some key factors influencing the expansive soil slope instability.
And S110, establishing an expansive soil slope instability model based on the key factors.
Specifically, the slope instability model is a mathematical model established according to the key points and used for predicting whether the expansive soil slope is unstable or not, and the expansive soil slope instability model represents the overall change and long-term change of the expansive soil.
And S120, calculating to obtain a critical state value of the expansive soil slope instability based on the expansive soil slope instability model.
Specifically, the critical state value of the expansive soil slope instability is used for judging the current stable state of the expansive soil boundary skin, and the expressed stable state or safe state of the expansive soil is different according to different values of the critical filling value.
And S130, obtaining the displacement change rate of the expansive soil through a sensor pre-buried in the expansive soil.
Specifically, the sensor may be a displacement sensor for measuring the displacement between two time points of the expansive soil. The amount of displacement change of the impact soil indicates the state of the expansive soil in a short time, and the larger the amount of displacement of the expansive soil in a short time, the more dangerous.
And S140, judging a target instability risk interval and a target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value.
Specifically, a target instability risk interval of the expansive soil slope is determined according to the critical state value of the expansive soil, and a target expansion displacement grade is determined according to the displacement change rate of the expansive soil. The target instability risk interval is used for evaluating whether the current state of the expansive soil is in a dangerous state, and the target expansion displacement grade is used for determining whether the current instantaneous state of the expansive soil is in a dangerous state.
S150, obtaining a prediction result of the seepage instability of the expansive soil slope according to the target instability risk interval and the target expansion displacement grade.
Specifically, the prediction result is a final result obtained according to the target instability risk interval and the target expansion displacement grade, and is used for predicting a current specific risk grade of the expansive soil.
Firstly, a large target instability risk interval is determined according to a critical state value, and a target expansion displacement grade in the target instability risk interval is determined according to a displacement change rate.
The implementation principle of the method for predicting the infiltration instability of the expansive soil slope in the embodiment of the application is as follows: the method comprises the steps of establishing an expansive soil slope instability model according to key factors influencing the stability of the expansive soil slope, calculating critical state values according to the expansive soil slope instability model, wherein the critical state values are different in size and represent different stabilities of the expansive soil slope, combining a target risk interval and a target expansion displacement grade according to the displacement change rate of an expansion diagram, judging the stability of the expansive soil slope, and enabling a judgment result to be more accurate, wherein the displacement change rate of the expansive soil is a detected instantaneous state.
The key factors influencing the expansive soil instability comprise the crack width, the depth of a crack area, the saturation permeability coefficient of the surface soil body of the bank slope, the cohesive force and the internal friction angle. The saturated permeability coefficient of the surface soil body of the bank slope determines the water permeability of the expansive soil, the cohesive force determines the adsorption capacity among the soils, the internal friction angle of the soil reflects the friction characteristic of the soil, the width of the crack is the width of the crack generated by the expansion of the expansive soil, and the depth of the crack is the depth of the crack generated by the expansion of the expansive soil.
The key factors are obtained through a simulation experiment, the saturated permeability coefficient, cohesive force and internal friction angle of the expansive soil bank slope soil body are preliminarily selected as the intrinsic key factors of the bank slope permeability instability, and in addition, on the basis, the influence of the cracks on the strength of the expansive soil bank slope soil body is considered, and the crack width, the crack interval and the crack depth are selected as the intrinsic risk factors of the expansive soil bank slope permeability instability numerical simulation and the physical test.
Based on the key factors, the establishment of the expansive soil slope instability model comprises the following steps:
the expansive soil slope instability model is as follows:
wherein A1 and A2 are soil pressure correction coefficients, B1 and B2 are water content correction coefficients, C1 and C2 are gray level entropy correction coefficients, and omega t The saturated permeability coefficient (water content in a fracture area) of the surface soil body of the bank slope is obtained in real time through a sensor pre-buried in expansive soil; h is t Acquiring the depth of the fracture area in real time through a sensor embedded in the expansive soil; for cohesive force and internal friction angle
The meaning of the combination of the two is the average weight of a fracture area, and the average weight is obtained in real time through a sensor embedded in the expansive soil;
the crack width is defined, alpha and beta are correction coefficients, 1 is respectively taken when the water content depth change value and the crack rate are accurately measured, and delta tau is the critical state of the expansive soil slope instability. The depth of a crack area is obtained by embedding two probes in soil, one probe detects displacement, the other probe detects the water content of the soil, when a crack exists, the probe cannot detect the water content, when the water content is changed from 0 to water, the displacement detected by the probe is the depth of the crack, and the width of the crack is the same.
Referring to FIG. 2, the critical state value is greater than zero, equal to zero, or less than zero;
and S200, if the critical state value is larger than zero, the instability of the corresponding expansive soil slope is in a high instability risk interval.
Specifically, the critical state value calculated according to the expansive soil instability model indicates whether the expansive soil side is stable, and when the critical state value is greater than 0, the expansive soil side slope is in an unstable state, and a landslide may occur, so that the region is a high instability risk region.
And S210, when the critical state of the expansive soil slope instability is equal to zero, the expansive soil slope instability is in a medium risk level.
Specifically, when the critical value is equal to 0, the swelling soil slope balance is stable and unstable at the edge, and has a certain risk, so that the risk level is middle.
And S220, when the instability critical state of the expansive soil side slope is less than zero, the instability of the expansive soil side slope is in a risk-free level.
Specifically, when the critical value is less than zero, the expansive soil side slope is in a safe state, and the side slope is overall stable, so that the side slope is in a risk-free grade.
The implementation principle of the meaning of the different critical state values in the embodiment of the present application is as follows: when the critical state is larger than zero, the expansive soil slope is already in a dangerous condition, landslide may occur at any time, when the critical state is equal to zero, the expansive soil slope is in a dangerous state, landslide may occur, and when the critical state is smaller than zero, the expansive soil slope is in a safe state.
Referring to fig. 3, obtaining the displacement change rate of the expansive soil by the sensor embedded in the expansive soil comprises:
s300, acquiring the displacement of the expansive soil at the previous moment and the displacement of the expansive soil at the current moment through a sensor.
Specifically, the adopted sensor can be a displacement sensor, and the displacement change rate of the expansive soil is the displacement of the expansive soil in unit time. The displacement of the expansive soil at two different time points, namely the displacement at the current moment and the displacement at the previous moment, is monitored.
And S310, obtaining displacement variation quantity based on the displacement of the expansive soil at the previous moment and the displacement of the expansive soil at the current moment.
Specifically, the displacement variation is calculated by the following formula:
And S320, obtaining a displacement time difference based on the previous moment and the current moment.
And S330, obtaining the displacement change rate of the expansive soil based on the displacement change quantity and the displacement time difference.
In particular, the method comprises the following steps of,
the implementation principle of obtaining the displacement change rate of the expansive soil is as follows: the sensor embedded in the expansive soil can obtain the displacement of the expansive soil at two different time points, and then the displacement change rate of the expansive soil in unit time can be obtained according to the time difference of the two time points, so that the current expansion condition of the expansive soil can be known according to the displacement change rate of the unit time, and the stability of the expansive soil can be conveniently judged.
Referring to fig. 4, the determining a target instability risk interval and a target expansive displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value includes:
and S400, when the critical state value is larger than zero, determining that the target instability risk interval of the instability of the expansive soil slope is a high instability risk interval.
And S410, when the critical state value is equal to zero, determining that the target instability risk interval of the expansive soil slope instability is a medium instability risk interval.
And S420, when the critical state value is less than zero, determining that the target instability risk interval of the instability of the expansive soil slope is a low instability risk interval.
And S430, determining the grade of the target expansion displacement according to the target instability risk interval and the displacement change rate of the expansive soil.
Specifically, the target instability risk interval is combined with the expansive soil displacement change rate, so that the more accurate current state of the expansive soil slope can be obtained, and four different safety levels are divided below each risk interval according to the expansive soil displacement change rate, so that whether the instability of the expansive soil slope is predicted or not is more accurate.
And S440, the target expansion displacement levels comprise a first safety level, a second safety level, a third safety level and a fourth safety level.
Specifically, the first safety level represents that the displacement of the expansive soil is basically unchanged, the second safety level represents that the displacement of the expansive soil is slightly changed, the third safety level represents that the displacement of the expansive soil is obviously changed, and the fourth safety level represents that the displacement of the expansive soil is obviously changed. The displacement change of the expansive soil indicates the deformation degree of the expansive soil, and the larger the deformation degree of the expansive soil is, the more dangerous the stability of the side slope is. The security level indicates a short time status.
S450, determining a target range of the expansive soil displacement change rate, wherein the target range comprises a first range, a second range, a third range and a fourth range, the first range is smaller than the second range, the second range is smaller than the third range, and the third range is smaller than the fourth range.
Specifically, the target range is a numerical value for distinguishing the safety level of the expansive soil, the displacement degree of the expansive soil in the first range is the minimum, and the displacement degree of the expansive soil in the fourth range is the maximum in unit time. Typically, a first range of [0, 50) is set to correspond to substantially no change in the displacement of the expansive soil, a second range of [50, 100) to correspond to a slight change in the displacement of the expansive soil, a third range of [100, 200) to correspond to a significant change in the displacement of the expansive soil, and a fourth range of [200, ∞) to correspond to a significant change in the displacement of the expansive soil.
In the above, the target instability risk section of the expansive soil slope includes a high instability risk section, a medium instability risk section and a low instability risk section, and after the risk sections are determined, the risk sections are divided into 4 safety levels according to the displacement change rate of the expansive soil, so that 12 cases occur in total, the target risk section is taken as Y weeks, the expansive soil displacement change rate is taken as X weeks, and a coordinate system is established to obtain the expansive soil instability diagram shown in fig. 5.
According to the target instability risk interval and the displacement change rate of the expansive soil, the following results can be obtained:
and S460, when the displacement change rate of the expansive soil is in the first range, the expansive soil is in the first safety level.
And S470, when the displacement change rate of the expansive soil is in a second range, the expansive soil is in a second safety level.
And S480, when the displacement change rate of the expansive soil is in the first range, the expansive soil is in a third safety level.
And S490, when the displacement change rate of the expansive soil is in the first range, the expansive soil is in a fourth safety level.
The implementation principle of judging the target instability risk interval and the target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value is as follows: in different instability risk intervals of the target, in order to more accurately predict the current stable state of the expansive soil, the current stable state of the expansive soil is divided into four safety levels in the target instability interval according to the displacement change rate of the expansive soil, and prediction is more accurate
Referring to fig. 6, obtaining the prediction result of the expansive soil slope infiltration instability includes:
s600, positioning the destabilization position of the expansive soil based on the prediction result.
Specifically, whether the expansive soil is in the unstable state at present can be obtained according to the prediction result, and if the expansive soil is in the unstable state, the unstable expansive soil position is located according to the installation position of the sensor.
And S610, sending out early warning information based on the instability position.
Specifically, after the expansive soil is predicted to be unstable, the purpose of sending out early warning information is to enable a worker to timely detect that the expansive soil is possibly unstable and timely maintain the expansive soil.
The implementation principle after the prediction result of the expansive soil slope seepage instability is obtained in the embodiment of the application is as follows: when the prediction result is medium risk and high risk, the position where the expansive soil slope is possibly unstable is located according to the installation position of the sensor, and then early warning information is sent according to the unstable position to remind workers to maintain in time, so that accidents are prevented.
The method for predicting the infiltration instability of the expansive soil slope is described above in detail, and a system for predicting the infiltration instability of the expansive soil slope based on the method for predicting the infiltration instability of the expansive soil slope is described in detail below.
Referring to fig. 7, a swelling soil slope infiltration instability prediction system includes:
the first acquisition module 1 is used for acquiring key factors of the instability of the expansive soil slope;
the establishing module 2 is used for establishing an expansive soil slope instability model based on key factors;
the calculation module 3 is used for calculating and obtaining a critical state value of the instability of the expansive soil slope based on the expansive soil slope instability model;
the second acquisition module 4 is used for acquiring the displacement change rate of the expansive soil through a sensor pre-embedded in the expansive soil;
the judging module 5 is used for judging a target instability risk interval and a target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value;
and the prediction module 6 is used for obtaining a prediction result of the expansive soil slope seepage instability according to the target instability risk interval and the target expansion displacement grade.
The implementation principle of the expansive soil slope seepage instability prediction system in the embodiment of the application is as follows: the method comprises the steps that a first obtaining module 1 obtains key factors of expansive soil slope instability, a building module 2 builds an expansive soil slope instability model according to the key factors of the expansive soil slope instability, a calculating module 3 calculates and obtains a critical state value according to the expansive soil slope instability model, a second obtaining module 4 obtains a displacement change rate of expansive soil according to data collected by a sensor, a judging module 5 judges a target instability risk interval and a target expansion displacement grade according to the expansive soil displacement change rate and the critical state value, and a predicting module 6 predicts the current target risk interval of the expansive soil and the target expansion displacement grade in the target risk interval to generate a prediction result. The target risk interval and the target expansion displacement grade are combined, the stability of the expansive soil slope is judged, and the judgment result is more accurate.
The embodiment of the application further discloses a terminal device, which comprises a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and when the processor loads and executes the computer program, the method for predicting the infiltration instability of the expansive soil slope is adopted.
The terminal device may adopt a computer device such as a desktop computer, a notebook computer, or a cloud server, and the terminal device includes but is not limited to a processor and a memory, for example, the terminal device may further include an input/output device, a network access device, a bus, and the like.
The processor may be a Central Processing Unit (CPU), and of course, according to an actual use situation, other general processors, digital Signal Processors (DSPs), application Specific Integrated Circuits (ASICs), ready-made programmable gate arrays (FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, and the like may also be used, and the general processor may be a microprocessor or any conventional processor, and the application does not limit the present invention.
The memory may be an internal storage unit of the terminal device, for example, a hard disk or a memory of the terminal device, or an external storage device of the terminal device, for example, a plug-in hard disk, a smart card memory (SMC), a secure digital card (SD) or a flash memory card (FC) equipped on the terminal device, and the memory may also be a combination of the internal storage unit of the terminal device and the external storage device, and the memory is used for storing a computer program and other programs and data required by the terminal device, and the memory may also be used for temporarily storing data that has been output or will be output, which is not limited in this application.
The method for predicting the infiltration instability of the expansive soil slope in the embodiment is stored in a memory of the terminal device through the terminal device, and is loaded and executed on a processor of the terminal device, so that the method is convenient to use.
The above are preferred embodiments of the present application, and the scope of protection of the present application is not limited thereto, so: all equivalent changes made according to the structure, shape and principle of the present application shall be covered by the protection scope of the present application.
Claims (10)
1. A method for predicting seepage instability of an expansive soil slope is characterized by comprising the following steps:
obtaining a key factor of the instability of the expansive soil slope;
establishing an expansive soil slope instability model based on the key factors;
calculating to obtain a critical state value of the instability of the expansive soil slope based on the instability model of the expansive soil slope;
obtaining the displacement change rate of the expansive soil through a sensor pre-buried in the expansive soil;
judging a target instability risk interval and a target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value;
and obtaining a prediction result of the seepage instability of the expansive soil slope according to the target instability risk interval and the target expansion displacement grade.
2. The method for predicting the seepage instability of the expansive soil slope according to claim 1, wherein the method comprises the following steps: the key factors comprise the crack width, the crack zone depth, the saturated permeability coefficient of the surface soil body of the bank slope, the cohesive force and the internal friction angle.
3. The method for predicting expansive soil slope seepage instability according to claim 2, wherein the establishing of the expansive soil slope instability model based on the key factors comprises:
the expansive soil slope instability model comprises the following steps: .
4.
Wherein A1 and A2 are soil pressure correction coefficients, B1 and B2 are water content correction coefficients, C1 and C2 are gray level entropy correction coefficients, and omega t Is the saturated permeability coefficient of the surface soil body of the bank slope h t The depth of the fracture zone is the depth of the fracture zone,
in order to achieve the cohesion and the internal friction angle,
the crack width is defined, alpha and beta are correction coefficients, 1 is respectively taken when the water content depth change value and the crack rate are accurately measured, and delta tau is the critical state of the expansive soil slope instability.
5. The method for predicting expansive soil slope infiltration instability according to claim 1,
the critical state value is greater than zero, equal to zero, or less than zero;
if the critical state value is larger than zero, the instability of the corresponding expansive soil slope is a high instability risk interval;
when the critical state of the expansive soil side slope instability is equal to zero, the expansive soil side slope instability is in a medium risk level;
and when the critical state of the expansive soil side slope instability is less than zero, the expansive soil side slope instability is in a risk-free level.
6. The method for predicting expansive soil slope seepage instability according to claim 4, wherein the obtaining the displacement change rate of the expansive soil through a sensor pre-buried in the expansive soil comprises:
acquiring the displacement of the expansive soil at the previous moment and the displacement of the expansive soil at the current moment through a sensor;
obtaining displacement variable quantity based on the displacement of the expansive soil at the previous moment and the displacement of the expansive soil at the current moment;
obtaining a displacement time difference based on the last moment and the current moment;
and obtaining the displacement change rate of the expansive soil based on the displacement change quantity and the displacement time difference.
7. The method for predicting the seepage instability of the expansive soil slope according to claim 5, wherein the step of judging the target instability risk interval and the target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value comprises the following steps:
when the critical state value is larger than zero, determining that a target instability risk interval of the expansive soil slope instability is a high instability risk interval;
when the critical state value is equal to zero, determining that a target instability risk interval of the expansive soil slope instability is a medium instability risk interval;
when the critical state value is less than zero, determining that a target instability risk interval of the expansive soil slope instability is a low instability risk interval;
determining a target expansion displacement grade according to the target instability risk interval and the expansive soil displacement change rate;
the target expansion displacement levels comprise a first safety level, a second safety level, a third safety level and a fourth safety level; determining a target range of the expansive soil displacement change rate, wherein the target range comprises a first range, a second range, a third range and a fourth range, the first range is smaller than the second range, the second range is smaller than the third range, and the third range is smaller than the fourth range;
when the displacement change rate of the expansive soil is in the first range, the expansive soil is in a first safety level;
when the displacement change rate of the expansive soil is in the second range, the expansive soil is in a second safety level;
when the displacement change rate of the expansive soil is in the first range, the expansive soil is in a third safety level;
and when the displacement change rate of the expansive soil is in the first range, the expansive soil is in a fourth safety level.
8. The method for predicting the expansive soil slope seepage instability according to claim 1, wherein the obtaining of the prediction result of the expansive soil slope seepage instability comprises:
based on the prediction result, positioning the instability position of the expansive soil;
and sending out early warning information based on the instability position.
9. The utility model provides an inflation soil slope infiltration unstability prediction system which characterized in that includes:
the first acquisition module (1) is used for acquiring key factors of the instability of the expansive soil slope;
the establishing module (2) is used for establishing an expansive soil slope instability model based on the key factors;
the calculation module (3) is used for calculating and obtaining a critical state value of the instability of the expansive soil slope based on the expansive soil slope instability model;
the second acquisition module (4) is used for acquiring the displacement change rate of the expansive soil through a sensor pre-buried in the expansive soil;
the judging module (5) is used for judging a target instability risk interval and a target expansion displacement grade of the expansive soil slope according to the expansive soil displacement change rate and the critical state value;
and the prediction module (6) is used for obtaining a prediction result of the seepage instability of the expansive soil slope according to the target instability risk interval and the target expansion displacement grade.
10. A terminal device comprising a memory and a processor, wherein the memory stores a computer program capable of running on the processor, and wherein the processor, when loading and executing the computer program, employs the method of any one of claims 1-7.
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