Settlement deformation calculation and prediction method and device, storage medium and electronic equipment
By constructing a finite element model and combining multi-stage loading simulation and convergence fitting, the error problem in settlement calculation after dynamic compaction replacement of high-moisture-content cohesive soil was solved, and accurate settlement prediction and risk warning were achieved.
Patent Information
- Application Number
- CN202511115658.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2025-08-11
- Publication Date
- 2025-11-21
AI Technical Summary
Existing technologies lack effective settlement calculation models, especially after dynamic compaction replacement of high-moisture-content cohesive soil. Traditional models do not consider the interaction between the replacement body and the soil, resulting in large prediction errors and a lack of quantitative model support.
The modified Cambridge clay model was used to simulate cohesive soil, and the Mohr-Coulomb model was used to simulate the replacement body and the cushion layer. A finite element model was constructed by combining the initial soil parameters and replacement parameters. Through multi-stage step-by-step loading simulation and convergence fitting, a site settlement trend model was established.
It improves the simulation accuracy of the foundation-replacement coupling system, quantifies the settlement at different time periods, provides a reliable basis for engineering monitoring, and reduces construction risks.
Smart Images
Figure CN120995781A_ABST
Abstract
Description
Technical Field
[0001] This application relates to the field of settlement deformation analysis technology, and more specifically, to a method, apparatus, storage medium, and electronic device for calculating and predicting settlement deformation. Background Technology
[0002] In power grid substation projects, soft soil areas are frequently encountered during site selection. High-moisture-content cohesive soil (natural moisture content ≥45%) has low bearing capacity and slow consolidation, and even after dynamic compaction replacement, there is still a risk of settlement instability. While there is considerable engineering practice in foundation settlement analysis and calculation, there are currently no mature methods for calculating the settlement of fill materials (rock fill or soil-rock mixtures) themselves, especially no simple and practical engineering calculation methods. Traditional settlement calculation models (such as the layered summation method) do not consider the interaction between the replacement material and the soil, and do not incorporate key parameters such as the replacement rate, leading to large prediction errors. Currently, there is a lack of quantitative model support for calculating the settlement deformation of sites after dynamic compaction replacement of high-moisture-content cohesive soil, and no specific settlement calculation model has been proposed. Summary of the Invention
[0003] The embodiments of this application provide a method, apparatus, storage medium, and electronic device for calculating and predicting settlement deformation, in order to solve the technical problems existing in the prior art.
[0004] Other features and advantages of this application will become apparent from the following detailed description, or may be learned in part from practice of this application.
[0005] According to a first aspect of the embodiments of this application, a method for calculating and predicting settlement deformation is provided, applicable to sites after dynamic compaction and replacement treatment of high-moisture-content cohesive soil, including: Obtain initial soil parameters and replacement parameters, wherein the initial soil parameters include water content, void ratio and liquid limit, and the replacement parameters include replacement rate, crushed stone block diameter and crushed stone cushion layer thickness; A finite element model is constructed based on the initial soil parameters and the replacement parameters. Multi-stage step-by-step loading simulation was performed based on the aforementioned finite element model; The simulation results based on the finite element model are converged and fitted with the measured settlement monitoring data to obtain the site settlement trend model. The site subsidence rate at different time periods is assessed based on the aforementioned site subsidence trend model.
[0006] In some embodiments of this application, based on the foregoing scheme, the process of constructing the finite element model includes: The modified Cambridge clay model was used to simulate cohesive soils; The Mohr-Coulomb model was used to simulate the replacement body and the mattress layer.
[0007] In some embodiments of this application, based on the foregoing scheme, the multi-stage step-by-step loading simulation based on the finite element model includes... Initial consolidation stage calculation: The initial settlement of the fill body is simulated and calculated in 6 steps based on self-weight stress; Overload consolidation stage calculation: Based on the overload pressure, the interactive settlement between the replacement body and the soil is simulated and calculated in 20 steps.
[0008] In some embodiments of this application, based on the foregoing scheme, the calculation formula for the initial consolidation stage is as follows: ; in, For consolidation time factor, Here, H is the consolidation coefficient, and H is the soil layer thickness. It represents the initial consolidation deformation of the soil at a certain time. The initial consolidation deformation of the soil is represented by t, time is represented by e, and the natural constant is represented by e.
[0009] In some embodiments of this application, based on the foregoing scheme, the calculation formula for the overload consolidation stage is as follows: ; in, The equivalent modulus of the replacement body and the soil. Indicates the amount of consolidation deformation due to overload. Indicates overload stress. This indicates the thickness of each soil layer.
[0010] In some embodiments of this application, based on the foregoing scheme, the convergence function used for convergent fitting is as follows: ; in, This represents the initial settlement amplitude. The attenuation coefficient is... , The residual settlement coefficient is given.
[0011] According to a second aspect of the embodiments of this application, a settlement deformation calculation and prediction device is provided, comprising: The acquisition unit is used to acquire initial soil parameters and replacement parameters, wherein the initial soil parameters include water content, void ratio and liquid limit, and the replacement parameters include replacement rate, crushed stone block diameter and crushed stone cushion layer thickness. Construction unit, used to construct finite element model based on the initial soil parameters and the replacement parameters; The simulation calculation unit is used to perform multi-stage step-by-step loading simulation based on the finite element model; The convergence fitting unit is used to converge and fit the simulation results based on the finite element model with the measured settlement monitoring data to obtain the site settlement trend model. The evaluation unit is used to evaluate the site subsidence degree at various time periods based on the site subsidence trend model.
[0012] According to a third aspect of the embodiments of this application, a computer-readable storage medium is provided, the storage medium storing computer instructions that, when executed on a computer, cause the computer to perform the method as described in the first aspect.
[0013] According to a fourth aspect of the embodiments of this application, an electronic device is provided, including: a memory and a processor; The memory is used to store computer instructions; The processor is configured to invoke computer instructions stored in the memory, causing the electronic device to execute the method described in the first aspect.
[0014] The technical solution of this application has the following beneficial effects: 1. Improved accuracy in composite foundation modeling Parametric modeling: By introducing initial soil parameters (water content, void ratio, liquid limit) and replacement parameters (replacement rate, gravel layer thickness, etc.), a finite element model is constructed, which significantly improves the simulation accuracy of the foundation-replacement coupled system.
[0015] Constitutive model adaptability: The modified Cambridge Clay (MCC) model is used for cohesive soil, and the Mohr-Coulomb (MC) model is used for gravel embankment / cushion layer. These models simulate the plastic flow of cohesive soil and the rigid-plastic behavior of the gravel skeleton, respectively, which solves the defect of traditional models that do not distinguish material properties.
[0016] 2. Simulation of multi-stage construction mechanical behavior Step-by-step loading technology: By simulating self-weight consolidation in 6 steps (30 days) and simulating overload consolidation in 20 steps (120 days), the stress path during the construction process of the filling body is realistically reproduced, avoiding errors caused by ignoring the differences in construction stages in traditional methods.
[0017] Quantification of initial consolidation effect: Considering the initial consolidation caused by the self-weight of the fill, combined with the surcharge consolidation parameter (120kPa surcharge), a more complete mechanical background is provided for settlement prediction.
[0018] 3. Settlement Trend Prediction and Engineering Applications Convergence fitting function: By fitting finite element simulation data and measured data, a convergence trend model is established, which can dynamically evaluate the settlement at different time periods and provide quantitative basis for engineering monitoring.
[0019] Risk warning capability: By combining models and measured data, unstable settlement areas can be identified in advance, guiding the optimization of construction parameters (such as adjusting the replacement rate and extending the overload time).
[0020] This invention solves the problem of settlement calculation after dynamic compaction replacement of high-moisture-content cohesive soil through a triple innovation of parametric modeling, multi-stage loading simulation, and data-driven prediction. Its technical benefits are not only reflected in improved model accuracy, but also in the transformation of engineering practice from "experience-dependent" to "data-driven" through quantitative tools and dynamic correction mechanisms, providing a replicable and standardized solution for soft soil foundation treatment.
[0021] It should be understood that the above general description and the following detailed description are exemplary and explanatory only, and do not limit this application. Attached Figure Description
[0022] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application. It is obvious that the drawings described below are merely some embodiments of this application, and those skilled in the art can obtain other drawings based on these drawings without any inventive effort. In the drawings: Figure 1 A flowchart illustrating a method for calculating and predicting settlement deformation according to an embodiment of this application is shown. Figure 2 A schematic diagram of the finite element model construction process according to an embodiment of this application is shown; Figure 3 A block diagram of a settlement deformation calculation and prediction device according to an embodiment of this application is shown; Figure 4 A block diagram of an electronic device according to one embodiment of this application is shown; Figure 5 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown. Detailed Implementation
[0023] Exemplary embodiments will now be described more fully with reference to the accompanying drawings. However, these exemplary embodiments can be implemented in many forms and should not be construed as limited to the examples set forth herein; rather, these embodiments are provided to make this application more comprehensive and complete, and to fully convey the concept of the exemplary embodiments to those skilled in the art.
[0024] Furthermore, the described features, structures, or characteristics can be combined in any suitable manner in one or more embodiments. Numerous specific details are provided in the following description to give a thorough understanding of embodiments of this application. However, those skilled in the art will recognize that the technical solutions of this application can be practiced without one or more of the specific details, or other methods, components, apparatuses, steps, etc., can be employed. In other instances, well-known methods, apparatuses, implementations, or operations are not shown or described in detail to avoid obscuring various aspects of this application.
[0025] The block diagrams shown in the accompanying drawings are merely functional entities and do not necessarily correspond to physically independent entities. That is, these functional entities can be implemented in software, in one or more hardware modules or integrated circuits, or in different network and / or processor devices and / or microcontroller devices.
[0026] The flowcharts shown in the accompanying drawings are merely illustrative and do not necessarily include all content and operations / steps, nor do they necessarily have to be performed in the described order. For example, some operations / steps can be broken down, while others can be combined or partially combined; therefore, the actual execution order may change depending on the specific circumstances.
[0027] To make the objectives, technical solutions, and advantages of this invention clearer, the technical solutions of the embodiments of this invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only a part of the embodiments of this invention, and not all of them. Based on the embodiments of this invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of this invention.
[0028] The following detailed description of some embodiments of this application will be provided in conjunction with the accompanying drawings. Unless otherwise specified, the following embodiments and features can be combined with each other.
[0029] See Figure 1 The diagram shows a flowchart of a method for calculating and predicting settlement deformation according to an embodiment of this application.
[0030] like Figure 1 As shown, a method for calculating and predicting settlement deformation is presented. This method is applicable to sites after dynamic compaction and replacement treatment of cohesive soil with high water content. Specifically, it includes steps S100 to S500.
[0031] refer to Figure 1 Step S100: Obtain initial soil parameters and replacement parameters, wherein the initial soil parameters include water content, void ratio and liquid limit, and the replacement parameters include replacement rate, crushed stone block diameter and crushed stone cushion layer thickness.
[0032] It is understood that in this embodiment, the simulation accuracy of the foundation-replacement coupling system is significantly improved by constructing a finite element model using initial soil parameters (water content, void ratio, and liquid limit) and replacement parameters (replacement rate, diameter of crushed stone pier, and thickness of crushed stone cushion layer).
[0033] Continue to refer to Figure 1 Step S200: Construct a finite element model based on the initial soil parameters and the replacement parameters.
[0034] In some feasible embodiments, based on the aforementioned scheme, the process of constructing the finite element model includes: The modified Cambridge clay model was used to simulate cohesive soils; The Mohr-Coulomb model was used to simulate the replacement body and the mattress layer.
[0035] It should be noted that in this embodiment, the modified Cambridge clay (MCC) model is used for cohesive soil, and the Mohr-Coulomb (MC) model is used for crushed stone piers / cushion layers. These models simulate the plastic flow of cohesive soil and the rigid-plastic behavior of the crushed stone skeleton, respectively, thus solving the problem that traditional models do not distinguish between material properties.
[0036] For example, see Figure 2 The finite element model construction process is as follows: (1) Establish the original soil layer boundary: construct the soil layer geometric model; (2) Mesh generation: Set up replacement body-soil coupled elements; (3) Constitutive model selection: The modified Cambridge clay model was selected for cohesive soil, and the Mohr-Coulomb model was selected for both the replacement body and the cushion layer; The calculation formula for the Cambridge clay model is as follows: ; In the formula, For effective vertical stress, For reference pressure, Porosity It is a deviatoric stress; The calculation formula for the Mohr-Coulomb model is as follows: ; In the formula, Represents soil shear stress. Indicates the angle of internal friction. Indicates cohesion. This represents the normal stress in the soil.
[0037] (4) Boundary condition setting: Set the foundation self-weight stress field and soil constraint conditions.
[0038] Continue to refer to Figure 1 Step S300: Perform multi-stage step-by-step loading simulation based on the finite element model.
[0039] In some feasible embodiments, based on the foregoing scheme, the multi-stage step-by-step loading simulation based on the finite element model includes... Initial consolidation stage calculation: The initial settlement of the fill body is simulated and calculated in 6 steps based on self-weight stress; Overload consolidation stage calculation: Based on the overload pressure, the interactive settlement between the replacement body and the soil is simulated and calculated in 20 steps.
[0040] It should be noted that in this embodiment, the stress path during the construction process of the filling body is realistically restored by simulating self-weight consolidation in 6 steps (30 days) and simulating overload consolidation in 20 steps (120 days), thus avoiding the errors caused by ignoring the differences in construction stages in traditional methods.
[0041] In addition, this embodiment also considers the initial consolidation caused by the self-weight of the filling body, and combines the overload consolidation parameter (120kPa overload) to provide a more complete mechanical background for settlement prediction.
[0042] In some feasible embodiments, based on the aforementioned scheme, the calculation formula for the initial consolidation stage is as follows: ; in, For consolidation time factor, Here, H is the consolidation coefficient, and H is the soil layer thickness. It represents the initial consolidation deformation of the soil at a certain time. The initial consolidation deformation of the soil is represented by t, time is represented by e, and the natural constant is represented by e.
[0043] In some feasible embodiments, based on the aforementioned scheme, the calculation formula for the overload consolidation stage is as follows: ; in, The equivalent modulus of the replacement body and the soil. Indicates the amount of consolidation deformation due to overload. Indicates overload stress. This indicates the thickness of each soil layer.
[0044] Continue to refer to Figure 1 Step S400: The simulation results based on the finite element model are converged and fitted with the measured settlement monitoring data to obtain the site settlement trend model.
[0045] It should be noted that in this embodiment, by fitting the simulated data and measured data of the finite element model, a convergence trend model is established, which can dynamically evaluate the settlement at different time periods and provide a quantitative basis for engineering monitoring.
[0046] In some feasible embodiments, based on the aforementioned scheme, the convergence function used for convergent fitting is as follows: ; in, This represents the initial settlement amplitude. The attenuation coefficient is... , The residual settlement coefficient is given.
[0047] Continue to refer to Figure 1 Step S500: Evaluate the site subsidence degree for each time period based on the site subsidence trend model.
[0048] Understandably, in the specific prediction process, the site settlement degree at each time period can be assessed through the site settlement trend model time-settlement curve.
[0049] Understandably, site settlement trend models can identify areas of unstable settlement and guide the optimization of construction parameters (such as adjusting the replacement rate and extending the overload time).
[0050] The following describes an embodiment of the apparatus described in this application, which can be used to execute a settlement deformation calculation and prediction method as described in the above embodiments of this application. For details not disclosed in the apparatus embodiments of this application, please refer to the embodiments of the method described in this application.
[0051] Reference Figure 3 As shown, a settlement deformation calculation and prediction device 300 according to an embodiment of this application includes: The acquisition unit 301 is used to acquire initial soil parameters and replacement parameters, wherein the initial soil parameters include water content, void ratio and liquid limit, and the replacement parameters include replacement rate, crushed stone block diameter and crushed stone cushion layer thickness. Construction unit 302 is used to construct a finite element model based on the initial soil parameters and the replacement parameters; Simulation calculation unit 303 is used to perform multi-stage step-by-step loading simulation based on the finite element model; The convergence fitting unit 304 is used to converge and fit the simulation results based on the finite element model with the measured settlement monitoring data to obtain the site settlement trend model. The evaluation unit 305 is used to evaluate the site subsidence degree at various time periods based on the site subsidence trend model.
[0052] like Figure 4As shown, this application embodiment also provides an electronic device 400, including a memory 410, a processor 420, and a computer program 411 stored in the memory 410 and executable on the processor. When the processor 420 executes the computer program 411, it implements the steps of the above-mentioned method for calculating and predicting settlement deformation.
[0053] Since the electronic device described in this embodiment is the device used to implement the settlement deformation calculation and prediction device in the embodiment of this application, those skilled in the art can understand the specific implementation method and various variations of the electronic device in this embodiment based on the method described in the embodiment of this application. Therefore, how the electronic device implements the method in the embodiment of this application will not be described in detail here. Any device used by those skilled in the art to implement the method in the embodiment of this application is within the scope of protection of this application.
[0054] In practice, when the computer program 411 is executed by the processor, it can implement any of the embodiments corresponding to the first aspect.
[0055] Figure 5 A schematic diagram of the structure of a computer system suitable for implementing the electronic device of the present application is shown.
[0056] It should be noted that, Figure 5 The computer system 500 of the electronic device shown is merely an example and should not impose any limitation on the functionality and scope of use of the embodiments of this application.
[0057] like Figure 5 As shown, the computer system 500 includes a Central Processing Unit (CPU) 501, which can perform various appropriate actions and processes based on programs stored in Read-Only Memory (ROM) 502 or programs loaded from storage portion 508 into Random Access Memory (RAM) 503, such as performing the methods described in the above embodiments. The RAM 503 also stores various programs and data required for system operation. The CPU 501, ROM 502, and RAM 503 are interconnected via a bus 504. An Input / Output (I / O) interface 505 is also connected to the bus 504.
[0058] The following components are connected to I / O interface 505: an input section 506 including a keyboard, mouse, etc.; an output section 507 including a cathode ray tube (CRT), liquid crystal display (LCD), etc., and speakers, etc.; a storage section 508 including a hard disk, etc.; and a communication section 509 including a network interface card such as a LAN (Local Area Network) card, modem, etc. The communication section 509 performs communication processing via a network such as the Internet. A drive 510 is also connected to I / O interface 505 as needed. Removable media 511, such as a disk, optical disk, magneto-optical disk, semiconductor memory, etc., are installed on drive 510 as needed so that computer programs read from them can be installed into storage section 508 as needed.
[0059] Specifically, according to embodiments of this application, the processes described above with reference to the flowcharts can be implemented as computer software programs. For example, embodiments of this application include a computer program product comprising a computer program carried on a computer-readable medium, the computer program containing program code for performing the methods shown in the flowcharts. In such embodiments, the computer program can be downloaded and installed from a network via communication section 509, and / or installed from removable medium 511. When the computer program is executed by central processing unit (CPU) 501, it performs various functions defined in the system of this application.
[0060] It should be noted that the computer-readable medium shown in the embodiments of this application can be a computer-readable signal medium or a computer-readable storage medium, or any combination of the two. A computer-readable storage medium can be, for example,—but not limited to—an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples of a computer-readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), flash memory, optical fiber, portable compact disc read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof. In this application, a computer-readable storage medium can be any tangible medium containing or storing a program that can be used by or in conjunction with an instruction execution system, apparatus, or device. In this application, a computer-readable signal medium can include a data signal propagated in baseband or as part of a carrier wave, carrying computer-readable program code. Such transmitted data signals can take various forms, including but not limited to electromagnetic signals, optical signals, or any suitable combination thereof. The computer-readable signal medium can also be any computer-readable medium other than a computer-readable storage medium, which can send, propagate, or transmit a program for use by or in connection with an instruction execution system, apparatus, or device. The program code contained on the computer-readable medium can be transmitted using any suitable medium, including but not limited to wireless, wired, etc., or any suitable combination thereof.
[0061] The flowcharts and block diagrams in the accompanying drawings illustrate the architecture, functionality, and operation of possible implementations of systems, methods, and computer program products according to various embodiments of this application. Each block in a flowchart or block diagram may represent a module, segment, or portion of code, which contains one or more executable instructions for implementing a specified logical function. It should also be noted that in some alternative implementations, the functions indicated in the blocks may occur in a different order than those indicated in the drawings. For example, two consecutively indicated blocks may actually be executed substantially in parallel, and they may sometimes be executed in reverse order, depending on the functions involved. It should also be noted that each block in a block diagram or flowchart, and combinations of blocks in a block diagram or flowchart, can be implemented using a dedicated hardware-based system that performs the specified function or operation, or using a combination of dedicated hardware and computer instructions.
[0062] The units described in the embodiments of this application can be implemented in software or hardware, and the described units can also be located in a processor. The names of these units do not necessarily limit the specific unit itself.
[0063] In another aspect, this application also provides a computer program product or computer program including computer instructions stored in a computer-readable storage medium. A processor of a computer device reads the computer instructions from the computer-readable storage medium and executes the computer instructions, causing the computer device to perform the settlement deformation calculation and prediction method described in the above embodiments.
[0064] In another aspect, this application also provides a computer-readable medium, which may be included in the electronic device described in the above embodiments; or it may exist independently and not assembled into the electronic device. The computer-readable medium carries one or more programs, which, when executed by the electronic device, cause the electronic device to implement the settlement deformation calculation and prediction method described in the above embodiments.
[0065] It should be noted that although several modules or units for the device used to perform actions have been mentioned in the detailed description above, this division is not mandatory. In fact, according to the embodiments of this application, the features and functions of two or more modules or units described above can be embodied in one module or unit. Conversely, the features and functions of one module or unit described above can be further divided and embodied by multiple modules or units.
[0066] Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein can be implemented by software or by combining software with necessary hardware. Therefore, the technical solutions according to the embodiments of this application can be embodied in the form of a software product, which can be stored in a non-volatile storage medium (such as a CD-ROM, USB flash drive, external hard drive, etc.) or on a network, including several instructions to cause a computing device (such as a personal computer, server, touch terminal, or network device, etc.) to execute the methods according to the embodiments of this application.
[0067] Other embodiments of this application will readily conceive of by those skilled in the art upon consideration of the specification and practice of the embodiments disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. It should be understood that this application is not limited to the precise structures described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.
Claims
1. A method for calculating and predicting settlement deformation, applicable to sites after dynamic compaction and replacement treatment of high-moisture-content cohesive soil, characterized in that, include: Obtain initial soil parameters and replacement parameters, wherein the initial soil parameters include water content, void ratio and liquid limit, and the replacement parameters include replacement rate, crushed stone block diameter and crushed stone cushion layer thickness; A finite element model is constructed based on the initial soil parameters and the replacement parameters. Multi-stage step-by-step loading simulation was performed based on the aforementioned finite element model; The simulation results based on the finite element model are converged and fitted with the measured settlement monitoring data to obtain the site settlement trend model. The site subsidence rate at different time periods is assessed based on the aforementioned site subsidence trend model.
2. The method according to claim 1, characterized in that, The process of constructing a finite element model includes: The modified Cambridge clay model was used to simulate cohesive soils; The Mohr-Coulomb model was used to simulate the replacement body and the mattress layer.
3. The method according to claim 1, characterized in that, The multi-stage step-by-step loading simulation based on the finite element model includes Initial consolidation stage calculation: The initial settlement of the fill body is simulated and calculated in 6 steps based on self-weight stress; Overload consolidation stage calculation: Based on the overload pressure, the interactive settlement between the replacement body and the soil is simulated and calculated in 20 steps.
4. The method according to claim 3, characterized in that, The calculation formula for the initial consolidation stage is as follows: ； in, For consolidation time factor, Here, H is the consolidation coefficient, and H is the soil layer thickness. It represents the initial consolidation deformation of the soil at a certain time. The initial consolidation deformation of the soil is represented by t, time is represented by e, and the natural constant is represented by e.
5. The method according to claim 3, characterized in that, The calculation formula for the overload consolidation stage is as follows: ； in, The equivalent modulus of the replacement body and the soil. Indicates the amount of consolidation deformation due to overload. Indicates overload stress. This indicates the thickness of each soil layer.
6. The method according to claim 1, characterized in that, The convergence function used for convergent fitting is as follows: ； in, This represents the initial settlement amplitude. The attenuation coefficient is... , The residual settlement coefficient is given.
7. A device for calculating and predicting settlement deformation, characterized in that, include: The acquisition unit is used to acquire initial soil parameters and replacement parameters, wherein the initial soil parameters include water content, void ratio and liquid limit, and the replacement parameters include replacement rate, crushed stone block diameter and crushed stone cushion layer thickness. Construction unit, used to construct finite element model based on the initial soil parameters and the replacement parameters; The simulation calculation unit is used to perform multi-stage step-by-step loading simulation based on the finite element model; The convergence fitting unit is used to converge and fit the simulation results based on the finite element model with the measured settlement monitoring data to obtain the site settlement trend model. The evaluation unit is used to evaluate the site subsidence degree at various time periods based on the site subsidence trend model.
8. A computer-readable storage medium, characterized in that, The storage medium stores computer instructions that, when executed on a computer, cause the computer to perform the method as described in any one of claims 1-6.
9. An electronic device, characterized in that, include: Memory and processor; The memory is used to store computer instructions; The processor is configured to invoke computer instructions stored in the memory, causing the electronic device to perform the method as described in any one of claims 1-6.