A settlement prediction system based on soft soil creep

Abstract

The present invention discloses a settlement prediction system based on soft soil creep, which relates to the technical field of settlement prediction. By collecting the loading rate of the foundation and the change of the groundwater level in real time, the stress increment, the total stress increment and the pore water pressure are dynamically calculated, and the vertical effective stress is further calculated based on these intermediate variables, so as to construct an accurate pore ratio calculation formula. This systematic process not only improves the accuracy of settlement prediction, but also enhances the adaptability of the model to the changes of actual working conditions. Specifically, through the collection and processing of real-time data, the present invention can quickly respond to the changes of foundation conditions and ensure that the model parameters are always in the optimal state. The pore ratio is calculated using the initial model parameters, and the error function is combined to evaluate the difference between the predicted value and the actual observed value, realizing the iterative optimization of the initial model parameters, and finally obtaining a corrected empirical model. The robustness and reliability of the model are significantly improved, making the settlement prediction more accurate and reliable.

Description

Technical Field

[0001] The present invention relates to the technical field of settlement prediction, and particularly to a settlement prediction system based on soft soil creep. Background Art

[0002] Soft soil generally refers to soil types with high water content, low density, and high compressibility, such as silt, peat, etc. Such soils exhibit significant deformation characteristics when bearing the load of buildings or infrastructure, especially the phenomenon of long-term settlement. This settlement is mainly caused by the gradual drainage of water in the soft soil and the rearrangement of soil particles, and this process is called "creep". Buildings and infrastructure on soft soil foundations face greater risks because long-term settlement may lead to uneven settlement of the structure, resulting in problems such as cracks and tilts, seriously affecting the safety and service life of the building.

[0003] In the prior art, the empirical formula method relies on historical data and statistical analysis. By performing regression analysis on the data of existing engineering cases, a relationship model between settlement and relevant parameters is established, and these models are used to predict the settlement of future projects. However, during the actual construction process, the loading rate of buildings or infrastructure may change due to factors such as construction progress and weather conditions. Rapid loading will lead to higher pore water pressure, slow down the drainage process, and thus increase the settlement time and final settlement amount. However, empirical formulas often assume a constant loading rate and cannot adapt to this dynamic change. The change of the groundwater level has an important impact on the settlement of soft soil foundations. The rise of the groundwater level will reduce the effective stress, increase the pore water pressure, and thus increase the settlement amount; conversely, the drop of the groundwater level will reduce the pore water pressure and decrease the settlement amount. Since empirical formulas do not consider these dynamic factors, the prediction results may deviate greatly in the case of large fluctuations in the groundwater level. Therefore, the empirical formula method appears to be insufficiently flexible and accurate when facing complex actual construction conditions and cannot be adjusted and optimized in real time according to the actual situation.

[0004] Therefore, there is an urgent need for a technical solution for a settlement prediction system based on soft soil creep in the prior art. Summary of the Invention

[0005] To solve the above technical problems, the present invention provides a settlement prediction system based on soft soil creep, which specifically includes the following modules:

[0006] Initial empirical model construction module: used to obtain historical settlement data, historical geological parameters, and historical environmental parameters, construct an initial empirical model according to the historical settlement data, historical geological parameters, and historical environmental parameters, and initialize the model parameters of the initial empirical model to obtain initial model parameters;

[0007] Dynamic parameter acquisition module: used to collect the real-time loading rate of the foundation and the real-time change of the groundwater level through sensors in real time;

[0008] Stress increment calculation module: connected to the dynamic parameter acquisition module, used to calculate the stress increment and the total stress increment according to the real-time loading rate;

[0009] Pore water pressure calculation module: connected to the dynamic parameter acquisition module, the initial empirical model construction module, and the stress increment calculation module, used to calculate the pore water pressure at the current moment according to the initial model parameters, the real-time change of the groundwater level, and the total stress increment;

[0010] Vertical effective stress calculation module: connected to the stress increment calculation module and the pore water pressure calculation module, used to calculate the vertical effective stress at the current moment according to the total stress increment and the pore water pressure;

[0011] Void ratio calculation module: connected to the vertical effective stress calculation module and the initial empirical model construction module, used to calculate the void ratio at the current moment according to the vertical effective stress at the current moment and the initial model parameter calculation module;

[0012] Model correction module: connected to the initial empirical model construction module and the void ratio calculation module, used to optimize the initial model parameters according to the void ratio to obtain a corrected empirical model;

[0013] Prediction module: connected to the model correction module, used to predict the settlement of the foundation according to the corrected empirical model.

[0014] Furthermore, the initial model parameters include: initial consolidation coefficient, initial void ratio, initial creep coefficient, and initial compression index.

[0015] Furthermore, the stress increment calculation module includes the following sub-modules:

[0016] Foundation division sub-module: used to divide the foundation into several target areas with equal area;

[0017] Real-time loading rate acquisition sub-module for target areas: used to obtain the real-time loading rate of each target area through sensors;

[0018] Time interval determination sub-module: used to determine the time interval according to the acquisition period of the sensor;

[0019] Stress increment calculation sub-module for target areas: used to calculate the stress increment of each target area according to the real-time loading rate of each target area and the time interval;

[0020] Total stress increment calculation sub-module: used to calculate the total stress increment of the foundation according to the stress increment of each target area.

[0021] Further, the pore water pressure calculation module includes the following sub-modules:

[0022] Water level change amount acquisition sub-module: Acquire the initial water level and the water level at the current moment, and calculate the water level change amount based on the initial water level and the water level at the current moment;

[0023] Pore water pressure calculation sub-module: Used to calculate the pore water pressure at the current moment according to the initial model parameters, the water level change amount, and the total stress increment.

[0024] Further, the void ratio calculation module includes the following sub-modules:

[0025] Initial vertical effective stress preset sub-module: Used to preset an initial vertical effective stress;

[0026] Void ratio calculation sub-module: Used to calculate the void ratio according to the initial void ratio, the initial compression index, the vertical effective stress at the current moment, the initial vertical effective stress, and the initial creep coefficient.

[0027] Further, the model correction module includes: Defining an error function, used to calculate the error value between the predicted value and the actual observed value, calculating the void ratio through the initial model parameters, and inputting the initial empirical model to obtain the predicted value, calculating the error function value according to the predicted value and the actual observed value, using the gradient descent method to adjust the initial model parameters to obtain the minimized error function value, obtaining the optimal parameter combination, replacing the optimal parameter combination with the initial model parameters to obtain the corrected empirical model; The optimal parameter combination includes the optimized creep coefficient, the optimized consolidation coefficient, the optimized void ratio, and the optimized compression index.

[0028] Further, the prediction module includes the following sub-modules:

[0029] Real-time loading rate acquisition sub-module: Used to acquire the real-time loading rate in real time through a sensor;

[0030] Real-time groundwater level acquisition sub-module: Used to acquire the real-time groundwater level in real time;

[0031] Soil layer thickness acquisition sub-module: Used to acquire the soil layer thickness;

[0032] Prediction sub-module: Used to use the real-time loading rate, the real-time groundwater level, and the soil layer thickness as the input data of the corrected empirical model to obtain the void ratio, and calculate the settlement amount through the void ratio, the optimized void ratio, and the soil layer thickness, and obtain the optimized construction plan according to the settlement amount.

[0033] Further, the calculation formula for the pore water pressure is: ; where u represents the pore water pressure, represents the adjustment coefficient, represents the total stress increment, represents the initial consolidation coefficient in the initial model parameters, Q represents the change in water level, represents the gradient operator.

[0034] Furthermore, the calculation formula for the void ratio is: ; In the formula, represents the void ratio at the current time t, represents the initial void ratio, represents the initial compression index, represents the initial vertical effective stress, represents the vertical effective stress at the current time t, D represents the initial creep coefficient, T represents the time constant, represents the integration variable.

[0035] The embodiments of the present invention have the following technical effects:

[0036] By collecting the loading rate of the foundation and the change in the groundwater level in real time, the present invention dynamically calculates the stress increment, the total stress increment, and the pore water pressure, and further calculates the vertical effective stress based on these intermediate variables, thereby constructing an accurate calculation formula for the void ratio. This systematic process not only improves the accuracy of settlement prediction but also enhances the adaptability of the model to actual working condition changes. Specifically, through the collection and processing of real-time data, the present invention can quickly respond to changes in the foundation conditions and ensure that the model parameters are always in the optimal state. By calculating the void ratio using the initial model parameters and combining the error function to evaluate the difference between the predicted value and the actual observed value, the iterative optimization of the initial model parameters is realized, and finally a modified empirical model is obtained. This adaptive parameter optimization mechanism significantly improves the robustness and reliability of the model, making the settlement prediction more accurate and reliable. In addition, with the help of the modified empirical model, the settlement amount of the foundation can be predicted more accurately, providing a scientific basis for the optimization of the construction plan, reducing the engineering risks and cost increases caused by inaccurate settlement prediction, and greatly improving the overall efficiency and safety of the engineering project. At the same time, the design idea and method of this system also provide valuable reference and reference for other similar geological engineering problems, and have broad application prospects and popularization value. Description of the Drawings

[0037] In order to more clearly illustrate the specific embodiments of the present invention or the technical solutions in the prior art, the following will briefly introduce the drawings required for the description of the specific embodiments or the prior art. Obviously, the drawings in the following description are some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can also be obtained based on these drawings.

[0038] Figure 1It is a structural diagram of a settlement prediction system based on soft soil creep provided by an embodiment of the present invention. Detailed implementation manners

[0039] To make the objectives, technical solutions, and advantages of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below. Apparently, the described embodiments are only a part of the embodiments of the present invention, rather than all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the scope protected by the present invention.

[0040] Embodiment 1: As Figure 1 shown, the present invention provides a settlement prediction system based on soft soil creep, including the following modules:

[0041] Initial empirical model construction module: used to obtain historical settlement data, historical geological parameters, and historical environmental parameters, construct an initial empirical model according to the historical settlement data, historical geological parameters, and historical environmental parameters, and initialize the model parameters of the initial empirical model to obtain initial model parameters; the initial model parameters include: initial consolidation coefficient, initial void ratio, initial creep coefficient, and initial compression index.

[0042] Collect historical settlement data, historical geological parameters, and historical environmental parameters of the foundation in the past year. The historical geological parameters may include: soil layer thickness, soil layer type, soil layer density, and soil layer water content, etc. The historical environmental parameters include initial groundwater level, average rainfall, average temperature, etc.

[0043] The historical settlement data includes the historical settlement amounts of each settlement monitoring point at each historical moment.

[0044] Based on the above historical data and initial model parameters, use the classical consolidation theory to construct an initial empirical model: ; S(t) represents the settlement amount at the current moment t, H0 represents the initial soil layer thickness, e0 represents the initial void ratio, and e(t) represents the void ratio at the current moment t.

[0045] According to the soil layer type, consult relevant literature or experimental data to determine the initial void ratio. Exemplarily, the initial void ratio of clay is 0.8. Similarly, through triaxial compression tests or by consulting the literature, the initial compression modulus is obtained as 5 MPa. Through permeability tests, the initial permeability coefficient is obtained as 1 × 10 -6 m / s. Through consolidation tests, the initial consolidation coefficient is obtained as 2 × 10 -7 m² / s. Through compression tests, the initial compression index is obtained as 0.2.

[0046] Dynamic parameter acquisition module: It is used to collect the real-time loading rate of the foundation and the change of the real-time groundwater level through sensors in real time.

[0047] Stress increment calculation module: It is connected to the dynamic parameter acquisition module and is used to calculate the stress increment and the total stress increment according to the real-time loading rate.

[0048] The stress increment calculation module includes the following sub-modules:

[0049] Foundation division sub-module: It is used to divide the foundation into several target areas with equal area.

[0050] Real-time loading rate acquisition sub-module for target area: It is used to obtain the real-time loading rate of each target area through sensors.

[0051] Time interval determination sub-module: It is used to determine the time interval according to the acquisition period of the sensor.

[0052] Stress increment calculation sub-module for target area: It is used to calculate the stress increment of each target area according to the real-time loading rate of each target area and the time interval.

[0053] ;

[0054] Among them, represents the stress increment of the i-th target area, represents the real-time loading rate of the i-th target area, represents the time interval.

[0055] Total stress increment calculation sub-module: It is used to calculate the total stress increment of the foundation according to the stress increment of each target area.

[0056] ;

[0057] n represents the total number of target areas, represents the total stress increment of the foundation.

[0058] Pore water pressure calculation module: It is connected to the dynamic parameter acquisition module, the initial empirical model construction module, and the stress increment calculation module, and is used to calculate the pore water pressure at the current moment according to the initial model parameters, the change of the real-time groundwater level, and the total stress increment.

[0059] The pore water pressure calculation module includes the following sub-modules:

[0060] Water level change amount acquisition sub-module: It acquires the initial water level and the water level at the current moment, and calculates the water level change amount according to the initial water level and the water level at the current moment;

[0061] Pore water pressure calculation sub-module: used to calculate the pore water pressure at the current moment based on the initial model parameters, water level change amount, and total stress increment.

[0062] ; where u represents the pore water pressure, represents the adjustment coefficient, represents the total stress increment, represents the initial consolidation coefficient in the initial model parameters, Q represents the water level change amount, represents the gradient operator.

[0063] Through the pore water pressure calculation module, we can monitor the underground water level change and total stress increment in real time, and use these data to accurately calculate the pore water pressure at the current moment. Specifically, this module first obtains the initial water level and the water level at the current moment through the water level change amount acquisition sub-module, so as to calculate the water level change amount. Subsequently, the pore water pressure calculation sub-module uses the water level change amount and total stress increment, combines parameters such as the adjustment coefficient and consolidation coefficient, and solves the change of pore water pressure through the gradient operator and water level change amount. This process can not only reflect the dynamic change of pore water pressure in the foundation in real time, but also provide key input for the subsequent calculation of vertical effective stress, thereby improving the accuracy and reliability of settlement prediction.

[0064] Vertical effective stress calculation module: connected to the stress increment calculation module and the pore water pressure calculation module, used to calculate the vertical effective stress at the current moment based on the total stress increment and pore water pressure.

[0065] Subtract the pore water pressure from the total stress increment to obtain the vertical effective stress.

[0066] Void ratio calculation module: connected to the vertical effective stress calculation module and the initial empirical model construction module, used to calculate the void ratio at the current moment based on the vertical effective stress at the current moment and the initial model parameter calculation module.

[0067] The void ratio calculation module includes the following sub-modules:

[0068] Initial vertical effective stress preset sub-module: used to preset an initial vertical effective stress;

[0069] For a soil layer with uniform distribution, the initial vertical effective stress is calculated according to the theory of at-rest earth pressure: ;

[0070] In the formula, represents the initial vertical effective stress, represents the effective weight per unit volume of the soil layer, and z represents the soil layer depth.

[0071] For saturated soil, the effective weight per unit volume is calculated by the following formula:

[0072] ;

[0073] In the formula, represents the weight of the soil layer in a fully saturated state, represents the weight of water, specifically referring to the actual weight of the underwater part of the soil mass after being affected by buoyancy, .

[0074] Collect soil samples from the site and determine the water content of the soil by the drying method. Use the core cutter method or other methods to measure the wet density of the soil, and calculate the saturated unit weight based on the wet density and water content. The saturated unit weight is preferably 13 kN / m 3 .

[0075] Void ratio calculation sub-module: used to calculate the void ratio according to the initial void ratio, initial compression index, vertical effective stress at the current moment, initial vertical effective stress, and initial creep coefficient.

[0076] ; In the formula, represents the void ratio at the current moment t, represents the initial void ratio, represents the initial compression index, represents the initial vertical effective stress, represents the vertical effective stress at the current moment t, D represents the initial creep coefficient, T represents the time constant, represents the integration variable.

[0077] Although the void ratio can be obtained through laboratory measurements, in actual situations, the foundation conditions are complex and variable, and laboratory measurements may not fully reflect the on-site situation. In addition, by using real-time data and dynamically adjusting model parameters, more accurate prediction of foundation behavior can be achieved without incurring excessive experimental costs. Specifically: Abandoning the traditional method based on the ratio of the pore volume to the solid particle volume in the soil, this application uses a complex formula to calculate the void ratio, the necessity of which is to be able to more accurately simulate and predict the foundation behavior in actual engineering scenarios. The initial void ratio provides the basic data of the foundation in a stress-free state; the compression index reflects the compression characteristics of the soil under different pressure conditions, through Adjusting the void ratio can dynamically reflect the changes in the foundation under load. The creep coefficient D and the time constant describe the deformation characteristics of the soil over time, and the integral part takes into account the creep effect of the soil under long-term load. Compared with simple laboratory measurements, this method can not only capture the instantaneous pressure response but also simulate the progressive changes over a long time, thus providing a more accurate and comprehensive prediction of foundation settlement, greatly enhancing the reliability and scope of application of the model. Especially under complex geological conditions, such meticulous calculations are particularly necessary.

[0078] By comprehensively considering the initial void ratio, the initial compression index, the relationship between the current vertical effective stress and the initial vertical effective stress, and the creep characteristics of the soil, an accurate prediction of the void ratio change of the foundation over time under different load conditions is achieved. It can accurately reflect the compression behavior of the soil under external load and its creep effect over time, thus providing a scientific basis for settlement prediction. Specifically, dynamically monitoring and adjusting the void ratio change based on real-time data, and then predicting the foundation settlement amount, is crucial for evaluating the long-term stability of buildings or infrastructure. In addition, through the accurate prediction of the void ratio change, the engineering team can take corresponding measures in a timely manner, such as optimizing the construction plan or implementing foundation reinforcement, to ensure the smooth progress of the project and the structural safety. Therefore, this calculation method not only improves the accuracy of settlement prediction but also provides strong support for practical engineering applications.

[0079] Model correction module: Connected to the initial empirical model construction module and the void ratio calculation module, it is used to optimize the initial model parameters according to the void ratio to obtain a corrected empirical model.

[0080] Define an error function, which is the mean square error function, used to calculate the error value between the predicted value and the actual observed value. Calculate the void ratio through the initial model parameters and input it into the initial empirical model to obtain the predicted value. Calculate the error function value based on the predicted value (the predicted value is the settlement amount at the current time t calculated by substituting the void ratio calculated by the void ratio calculation sub-module into the initial empirical model) and the actual observed value (the actual observed value refers to the settlement amount obtained through on-site measurement). Use the gradient descent method to adjust the initial model parameters to obtain the minimized error function value, obtain the optimal parameter combination, replace the initial model parameters with the optimal parameter combination to obtain the corrected empirical model; the optimal parameter combination includes the optimized consolidation coefficient, the optimized void ratio, the optimized compression index, and the optimized creep coefficient.

[0081] Prediction module: Connected to the model correction module, it is used to predict the settlement amount of the foundation according to the corrected empirical model.

[0082] The prediction module includes the following sub-modules:

[0083] Real-time Loading Rate Acquisition Sub-module: Used to collect the real-time loading rate in real time through sensors;

[0084] Real-time Underground Water Level Acquisition Sub-module: Used to collect the real-time underground water level in real time;

[0085] Soil Layer Thickness Obtaining Sub-module: Used to obtain the soil layer thickness;

[0086] Prediction Sub-module: Used to take the real-time loading rate, real-time underground water level, and soil layer thickness as input data for correcting the empirical model, calculate the void ratio through the void ratio calculation formula (in this formula, the initial consolidation coefficient, initial void ratio, initial compression index, and initial creep coefficient are the optimized consolidation coefficient, optimized void ratio, optimized compression index, and optimized creep coefficient in the optimal parameter combination), calculate the settlement amount through the void ratio, optimized void ratio, and soil layer thickness, and obtain the optimized construction plan based on the settlement amount.

[0087] If the predicted settlement amount is relatively large (in this embodiment, it is considered that a settlement amount exceeding 5 meters is relatively large), the construction is optimized through the following optimized construction plan:

[0088] Increase the foundation depth or width: Increase the depth or width of the foundation to ensure structural stability.

[0089] Adopt pile foundation: Use pile foundation to reduce the settlement impact, especially for high-rise buildings or structures sensitive to settlement.

[0090] Preloading treatment: Conduct preloading treatment on the foundation before construction to trigger a certain amount of settlement in advance, thereby reducing the risk of uneven settlement in the later stage.

[0091] Regular monitoring: Regularly monitor the foundation settlement during and after construction, and adjust the construction strategy or take reinforcement measures in a timely manner.

[0092] It should be noted that the terms used in the present invention are only for describing specific embodiments and do not limit the scope of the present application. As shown in the specification of the present invention, unless the context clearly indicates an exception, words such as "a", "an", "one", and / or "the" are not specifically singular and may also include plural. The term "comprising", "including" or any other variant thereof is intended to cover non-exclusive inclusion, so that a process, method or device including a series of elements not only includes those elements, but also includes other elements not expressly listed, or further includes elements inherent to such process, method or device. Without further limitation, an element defined by the statement "including one..." does not exclude the existence of additional identical elements in the process, method or device including the said element.

[0093] It should also be noted that the orientation or positional relationship indicated by terms such as "center", "upper", "lower", "left", "right", "vertical", "horizontal", "inner", "outer", etc. is based on the orientation or positional relationship shown in the drawings. It is only for the convenience of describing the present invention and simplifying the description, rather than indicating or implying that the device or element referred to must have a specific orientation, be constructed and operated in a specific orientation. Therefore, it should not be construed as a limitation to the present invention. Unless otherwise clearly specified and defined, terms such as "installed", "connected", "coupled" should be understood in a broad sense. For example, it can be a fixed connection, a detachable connection, or an integral connection; it can be a mechanical connection, an electrical connection; it can be directly connected, or indirectly connected through an intermediate medium, and it can be the communication inside two elements. For those of ordinary skill in the art, the specific meanings of the above terms in the present invention can be understood according to specific situations.

[0094] Finally, it should be noted that the above embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that they can still modify the technical solutions described in the foregoing embodiments, or equivalently replace some or all of the technical features; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the technical solutions of the embodiments of the present invention.

Claims

1. A settlement prediction system based on soft soil creep, characterized in that: Includes the following modules: Initial empirical model building module: used to obtain historical settlement data, historical geological parameters and historical environmental parameters, build an initial empirical model based on the historical settlement data, historical geological parameters and historical environmental parameters, and initialize the model parameters of the initial empirical model to obtain initial model parameters; Dynamic parameter acquisition module: used to collect the real-time loading rate and real-time groundwater level changes of the foundation through sensors; Stress increment calculation module: connected with the dynamic parameter acquisition module, used to calculate the stress increment and total stress increment according to the real-time loading rate; Pore ​​water pressure calculation module: connected with the dynamic parameter acquisition module, the initial empirical model construction module, and the stress increment calculation module, and used to calculate the pore water pressure at the current moment according to the initial model parameters, the real-time groundwater level change, and the total stress increment; Vertical effective stress calculation module: connected with the stress increment calculation module and the pore water pressure calculation module, used to calculate the vertical effective stress at the current moment according to the total stress increment and the pore water pressure; Porosity ratio calculation module: connected with the vertical effective stress calculation module and the initial empirical model construction module, used to calculate the porosity ratio at the current moment according to the vertical effective stress at the current moment and the initial model parameters; Model correction module: connected with the initial empirical model construction module and the porosity ratio calculation module, used to optimize the initial model parameters according to the porosity ratio to obtain a corrected empirical model; Prediction module: connected with the model correction module, used to predict the settlement of the foundation based on the corrected empirical model.

2. A settlement prediction system based on soft soil creep according to claim 1, characterized in that: The initial model parameters include: initial consolidation coefficient, initial porosity, initial creep coefficient and initial compression index.

3. The settlement prediction system based on soft soil creep according to claim 1, characterized in that: Stress increment calculation module, including the following sub-modules: Foundation division submodule: used to divide the foundation area into several target areas; Target area real-time loading rate acquisition submodule: used to obtain the real-time loading rate of each target area through sensors; The time interval determination submodule is used to determine the time interval according to the acquisition cycle of the sensor; Target area stress increment calculation submodule: used to calculate the stress increment of each target area according to the real-time loading rate and time interval of each target area; Total stress increment calculation submodule: used to calculate the total stress increment of the foundation based on the stress increment of each target area.

4. A settlement prediction system based on soft soil creep according to claim 2, characterized in that: The pore water pressure calculation module includes the following submodules: Water level change acquisition submodule: obtains the initial water level and the current water level, and calculates the water level change based on the initial water level and the current water level; Pore ​​water pressure calculation submodule: used to calculate the current pore water pressure based on the initial model parameters, water level change and total stress increment.

5. The settlement prediction system based on soft soil creep according to claim 2, characterized in that: The void ratio calculation module includes the following submodules: Initial vertical effective stress preset submodule: used to preset an initial vertical effective stress; Porosity calculation submodule: used to calculate the porosity according to the initial porosity, initial compression index, vertical effective stress at the current moment, initial vertical effective stress, and initial creep coefficient.

6. The settlement prediction system based on soft soil creep according to claim 1, characterized in that: The model correction module includes: defining an error function for calculating the error value between the predicted value and the actual observed value, calculating the porosity through the initial model parameters, and inputting the initial empirical model to obtain the predicted value, calculating the error function value according to the predicted value and the actual observed value, adjusting the initial model parameters by the gradient descent method to obtain the minimized error function value, obtaining the optimal parameter combination, replacing the optimal parameter combination with the initial model parameters, and obtaining the corrected empirical model; the optimal parameter combination includes optimizing the creep coefficient, optimizing the consolidation coefficient, optimizing the porosity, and optimizing the compression index.

7. A settlement prediction system based on soft soil creep according to claim 6, characterized in that: The prediction module includes the following submodules: Real-time loading rate acquisition submodule: used to acquire real-time loading rate through sensors; Real-time groundwater level acquisition submodule: used to acquire real-time groundwater level; Soil layer thickness acquisition submodule: used to obtain soil layer thickness; Prediction submodule: It is used to use the real-time loading rate, real-time groundwater level and soil thickness as input data of the modified empirical model to obtain the void ratio, and calculate the settlement through the void ratio, optimized void ratio and soil thickness, and obtain the optimized construction plan according to the settlement.

8. The settlement prediction system based on soft soil creep according to claim 4, characterized in that: The calculation formula for pore water pressure is: ; where u represents the pore water pressure, represents the adjustment factor, represents the total stress increment, represents the initial consolidation coefficient in the initial model parameters, Q represents the water level change, Represents the gradient operator.

9. The settlement prediction system based on soft soil creep according to claim 5, characterized in that: The calculation formula of void ratio is: ; In the formula, represents the void ratio at the current time t, represents the initial void ratio, represents the initial compression index, represents the initial vertical effective stress, represents the vertical effective stress at the current time t, D represents the initial creep coefficient, T represents the time constant, represents the integration variable.

Images