A method and system for predicting the ground surface settlement of a foundation pit

Abstract

The present invention discloses a method and system for predicting the ground settlement of a foundation pit, including inputting the deformation data of the supporting structure and the groundwater level rise and fall data into a preset settlement value prediction algorithm to calculate the ground settlement value curve of the foundation pit; obtaining the actual ground settlement data, determining the actual settlement value curve according to the actual ground settlement data, and calculating the difference data between the ground settlement value curve of the foundation pit and the actual settlement value curve; when the difference data does not meet the tolerance condition, the ant colony algorithm is used to perform parameter correction iteration on the settlement value prediction algorithm. The present invention comprehensively considers the influence of foundation pit excavation and precipitation on ground settlement, and significantly improves the prediction accuracy and practicability by superimposing the settlement results under the two influences and comparing and correcting them with the measured values.

Description

Technical Field

[0001] The present invention relates to the technical field of foundation pit ground settlement prediction, and particularly to a foundation pit ground settlement prediction method and system. Background Art

[0002] With the development of cities, it is becoming more and more common to construct underground projects such as subways, civil air defenses, and basements of high-rise buildings in complex environments with dense building clusters and crisscrossing pipelines. The construction of deep foundation pits will inevitably have an adverse impact on existing adjacent foundation pit buildings and municipal pipelines and other facilities. In order to protect buildings, municipal pipelines and other facilities near the foundation pit, it is necessary to further explore the law of surrounding strata movement caused by the excavation of deep foundation pits, so as to more accurately predict the differential settlement of buildings, etc., and thus predict the impact degree of the excavation of deep foundation pits on buildings, etc. Therefore, determining the ground settlement caused by the excavation of the foundation pit has important practical significance, and it is a key link in formulating the control index of the horizontal displacement of the retaining wall and reviewing the safety of buildings, etc.

[0003] The dewatering of the foundation pit will cause an increase in the effective stress of the soil skeleton behind the pit, causing the soil to consolidate and compress, resulting in ground settlement. However, at present, only the influence of the excavation of the foundation pit is considered when calculating the ground settlement, and the influence of dewatering is not considered. It should be noted that when the dewatering reaches a certain level, its influence on the ground settlement is greater than that of the excavation of the foundation pit on the ground settlement. Summary of the Invention

[0004] In order to solve at least one of the above-mentioned technical problems, the present invention provides a foundation pit ground settlement prediction method and system.

[0005] In a first aspect, the present invention provides a foundation pit ground settlement prediction method, the method comprising:

[0006] Collecting deformation data of the supporting structure and groundwater level rise and fall data;

[0007] Inputting the deformation data of the supporting structure and the groundwater level rise and fall data into a preset settlement value prediction algorithm to calculate a foundation pit ground settlement value curve;

[0008] Obtaining actual ground settlement data to obtain a second settlement value curve, and calculating the difference data between the foundation pit ground settlement value curve and the second settlement value curve; when the difference data does not meet the tolerance condition, using the ant colony algorithm to perform parameter correction iteration on the settlement value prediction algorithm.

[0009] Preferably, the prediction process of the settlement value prediction algorithm is as follows:

[0010] Based on a preset profile calculation model and the deformation data of the supporting structure, and using the ground loss method, the settlement value during the foundation pit excavation is calculated. The profile calculation model includes a normal distribution model, an improved normal distribution model, or a skewed distribution model;

[0011] Based on the groundwater level rise and fall data, and using a preset precipitation settlement value prediction algorithm, the precipitation settlement value is calculated;

[0012] The settlement value during the foundation pit excavation and the precipitation settlement value are superimposed to obtain the ground surface settlement value of the foundation pit.

[0013] Preferably, using the improved ground loss method to calculate the settlement value during the foundation pit excavation includes:

[0014] When the profile calculation model is a normal distribution model, the calculation process of the settlement value during the foundation pit excavation is as follows:

[0015]

[0016] S w = pS p ,

[0017] y max = 1.4σ max ,

[0018] In the formula, x is the horizontal coordinate with the position of the maximum settlement as the origin, m is the first coefficient, p is the second coefficient, σ(x, m, p) is the settlement value corresponding to x, x m is the distance from the position of the maximum ground surface settlement to the foundation pit edge, S w is the envelope area of the settlement curve, S p is the envelope area of the deformation curve of the supporting structure, y max is the maximum horizontal displacement of the supporting structure;

[0019] When the profile calculation model is an improved normal distribution model, the calculation process of the settlement value during the foundation pit excavation is as follows:

[0020]

[0021] In the formula, h is the foundation pit excavation depth;

[0022] When the profile calculation model is a skewed distribution model, the calculation process of the settlement value during the foundation pit excavation is as follows:

[0023]

[0024] In the formula, n is the third coefficient, σ(x, p, n) is the settlement value corresponding to x.

[0025] Preferably, the precipitation settlement value prediction algorithm is expressed as:

[0026]

[0027] In the formula, W is the settlement value of a single plot, W 降水 is the total precipitation settlement value, R is the precipitation influence radius, S h is the drawdown of the water level, H is the distance from the impermeable layer to the ground surface, h 0 is the initial depth of the water table, (ξ, η) represents the infinitesimal unit dξdη of the water level calculation unit, f(ξ) is the function of the precipitation funnel curve after precipitation, k is the permeability coefficient, m is the number of plots, γ i is the natural unit weight of the i-th plot, γ sati is the saturated unit weight of the i-th plot, γ satm is the saturated unit weight of the m-th plot, α v is the compression coefficient of the plot, e 0 is the initial void ratio, W is the surface settlement value at a distance of x meters from the foundation pit edge due to the settlement generated by the infinitesimal unit dξdη, γ w is the unit weight of water, and β is an empirical coefficient.

[0028] Preferably, the ant colony algorithm is used to perform parameter correction and iteration on the settlement value prediction algorithm, including:

[0029] Set an initial parameter set, which includes m, n, and p;

[0030] Set the number of ants, the initial pheromone concentration, and the evaporation rate of the ant colony algorithm;

[0031] According to the initial parameter set and in combination with the settlement value prediction algorithm and the second settlement value curve, calculate the difference data;

[0032] Based on the pheromone concentration, select a new parameter set using the probability formula of the ant colony algorithm, and update m, n, and p;

[0033] Update the pheromone concentration and the evaporation rate according to the difference data calculated from the new parameter set, and iterate the ant colony algorithm until the difference data meets the tolerance condition to obtain the corrected m, n, and p.

[0034] In a second aspect, the present invention also provides a foundation pit surface settlement prediction system, and the system includes:

[0035] A data acquisition module for acquiring the deformation data of the support structure and the groundwater level rise and fall data;

[0036] A data prediction module for inputting the deformation data of the support structure and the groundwater level rise and fall data into a preset settlement value prediction algorithm to calculate the foundation pit surface settlement value curve;

[0037] The algorithm correction module is used to obtain the actual ground settlement data, obtain the second settlement value curve, and calculate the difference data between the foundation pit ground settlement value curve and the second settlement value curve; when the difference data does not meet the tolerance condition, the ant colony algorithm is used to perform parameter correction iteration on the settlement value prediction algorithm.

[0038] Preferably, the data prediction module includes:

[0039] The foundation pit excavation settlement value prediction unit is used to calculate the foundation pit excavation settlement value based on a preset profile calculation model and the deformation data of the supporting structure, and the profile calculation model includes a normal distribution model, an improved normal distribution model or a skewed distribution model;

[0040] The dewatering settlement value prediction unit is used to calculate the dewatering settlement value based on the groundwater level rise and fall data and by using a preset dewatering settlement value prediction algorithm;

[0041] The foundation pit ground settlement value calculation unit is used to superimpose the foundation pit excavation settlement value and the dewatering settlement value to obtain the foundation pit ground settlement value.

[0042] In a third aspect, the present invention also provides an electronic device, including a processor and a memory, where the memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method according to the first aspect and any one of its possible implementation manners as described above.

[0043] In a fourth aspect, the present invention also provides a computer-readable storage medium, where a computer program is stored in the computer-readable storage medium, and the computer program includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor is caused to execute the method according to the first aspect and any one of its possible implementation manners as described above.

[0044] Compared with the prior art, the beneficial effects of the present invention are as follows:

[0045] The present invention comprehensively considers the influence of foundation pit excavation and foundation pit dewatering on ground settlement. Compared with the traditional method that only considers a single factor, it can more comprehensively reflect the actual situation. Further, by superimposing the settlement results under the influence of excavation and dewatering, a total ground settlement curve closer to the actual situation is obtained, and the calculation result is corrected by using the actually monitored settlement value, significantly improving the prediction accuracy.

[0046] It should be understood that the above general description and the following detailed description are only exemplary and explanatory, and do not limit the present disclosure. Description of the Drawings

[0047] To more clearly illustrate the technical solutions in the embodiments of the present invention or in the background art, the following will describe the drawings required for use in the embodiments of the present invention or in the background art.

[0048] The accompanying drawings herein are incorporated into the specification and form a part of this specification. These drawings show embodiments consistent with the present disclosure and, together with the specification, are used to illustrate the technical solutions of the present disclosure.

[0049] Figure 1 It is a schematic flow chart of a method for predicting foundation pit ground surface settlement provided by an embodiment of the present invention;

[0050] Figure 2 It is a schematic structural diagram of a system for predicting foundation pit ground surface settlement provided by an embodiment of the present invention;

[0051] Figure 3 It is a simplified calculation diagram of the settlement curve of foundation pit excavation being a normal distribution model provided by an embodiment of the present invention;

[0052] Figure 4 It is a simplified calculation diagram of the settlement curve of foundation pit excavation being a skewed distribution model provided by an embodiment of the present invention;

[0053] Figure 5 Provided by an embodiment of the present invention Figure 2 It is a schematic structural diagram of a sub-module of the data prediction module in Detailed implementation manners

[0054] To enable those skilled in the art to better understand the solution of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, 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 protection scope of the present invention.

[0055] Referring to "embodiment" herein means that a particular feature, structure, or characteristic described in connection with the embodiment can be included in at least one embodiment of the present invention. The phrase appears in various places in the specification and does not necessarily refer to the same embodiment, nor is it an independent or alternative embodiment mutually exclusive with other embodiments. Those skilled in the art will explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0056] Currently, when calculating the ground surface settlement, only the influence of foundation pit excavation is considered, and the influence of precipitation is not considered, resulting in the problem of low prediction accuracy.

[0057] Please refer to Figure 1 , Figure 1Schematic flow chart of a method for predicting surface settlement of foundation pits provided by an embodiment of the present invention. As Figure 1 shown, the method includes:

[0058] S100, collecting deformation data of the support structure and groundwater level rise and fall data;

[0059] In this embodiment, the deformation data of the support structure includes the excavation depth of the foundation pit, the depth of the support structure, the maximum horizontal displacement of the support structure, and the envelope area of the deformation curve of the support structure. The groundwater level rise and fall data includes the drawdown, the distance from the impermeable layer to the ground surface, the initial groundwater level burial depth, the permeability coefficient of each plot, the compression coefficient of each plot, and the initial void ratio of each plot.

[0060] S200, inputting the deformation data of the support structure and the groundwater level rise and fall data into a preset settlement value prediction algorithm to calculate the surface settlement value curve of the foundation pit;

[0061] Preferably, the prediction process of the settlement value prediction algorithm is as follows:

[0062] Based on a preset profile calculation model and the deformation data of the support structure, and using the stratum loss method to calculate the excavation settlement value of the foundation pit. The profile calculation model includes a normal distribution model, an improved normal distribution model, or a skewed distribution model;

[0063] It should be noted that there are mainly three calculation models for predicting the surface settlement caused by the excavation of the foundation pit, namely: the normal distribution model, the improved normal distribution model, and the skewed distribution model.

[0064] Refer to Figure 3 , Figure 3 is a schematic diagram of the surface settlement structure caused by the surface settlement curve of the foundation pit excavation being a normal distribution (i.e., the normal distribution model). The calculation formula for the excavation settlement value of the foundation pit is:

[0065]

[0066] In the formula, σ max is the maximum settlement value; x 0 is the surface settlement influence range, x m is the distance from the position of the maximum surface settlement to the edge of the foundation pit, r is the calculated influence radius of the settlement basin, r = x 0 -x m ; x is the horizontal coordinate with the position of the maximum settlement as the origin.

[0067] The solution steps for the surface settlement caused by the surface settlement curve of the foundation pit excavation being a normal distribution are:

[0068] (1) Determine x 0 , the surface settlement influence range x 0Generally considered to be 2 to 4 times the excavation depth or 1.5 times the depth of the retaining structure;

[0069] (2) Calculate the maximum surface settlement value σ max , the maximum surface settlement value σ max can be calculated by the following formula:

[0070] y max = 1.4δ max

[0071] In the formula, y max is the maximum horizontal displacement of the retaining structure;

[0072] (3) Calculate the envelope curve area of the retaining structure and the settlement curve, and determine the area ratio β of the two envelope curves according to the specifications and relevant literature research;

[0073] The envelope area S of the settlement curve w is:

[0074] S w = βS p

[0075] In the formula, β is an empirical coefficient, and S p is the envelope area of the deformation curve of the retaining structure. When h d / h ≤ 0.5, β can take 1.0 - 1.2; when h d / h > 0.5, β can take 0.8 - 1.0, where h d is the length of the retaining structure below the excavation surface, and h is the excavation depth of the foundation pit;

[0076] (4) Solve for x m ;

[0077] (5) Calculate the foundation pit excavation settlement value at each point of the settlement curve according to formula .

[0078] When the surface settlement curve of the foundation pit excavation is an improved normal distribution (i.e., the improved normal distribution model), the calculation formula for the foundation pit excavation settlement value is:

[0079]

[0080] The solution steps are as follows: First, determine x 0 according to the specifications and relevant literature research. Secondly, take x m = 0.7h. Finally, calculate the foundation pit excavation settlement value at each point of the settlement curve. When calculating with the improved formula, there is no need to solve the envelope area of the surface settlement curve and the displacement curve of the retaining structure, which is more convenient.

[0081] Reference Figure 4 , Figure 4When the surface settlement curve of foundation pit excavation is skewed distribution (i.e., skewed distribution model), the calculation formula for the settlement value of foundation pit excavation is as follows:

[0082]

[0083] In the formula, x is the distance from the settlement point to be calculated to the edge of the foundation pit, and x m is the distance from the maximum settlement point to the edge of the foundation pit.

[0084] The specific solution steps are as follows:

[0085] (1), Determine x according to the specifications and relevant literature research m ;

[0086] (2), Calculate the area of the envelope curve of the support structure;

[0087] (3), Calculate the settlement curve envelope area S according to the area ratio β of the two envelope curves determined by the specifications and relevant literature research w ;

[0088] (4), Calculate the foundation pit excavation settlement value at each point of the settlement curve.

[0089] Based on the groundwater level rise and fall data, and using a preset precipitation settlement value prediction algorithm to calculate the precipitation settlement value;

[0090] Superimpose the foundation pit excavation settlement value and the precipitation settlement value to obtain the foundation pit surface settlement value.

[0091] Preferably, the prediction process of the settlement value prediction algorithm is as follows:

[0092] Based on a preset profile calculation model and the deformation data of the support structure, and using the stratum loss method to calculate the foundation pit excavation settlement value, the profile calculation model includes a normal distribution model, an improved normal distribution model or a skewed distribution model;

[0093] Based on the groundwater level rise and fall data, and using a preset precipitation settlement value prediction algorithm to calculate the precipitation settlement value; in this embodiment, the precipitation settlement value prediction algorithm is expressed as:

[0094]

[0095] In the formula, W is the settlement value of a single plot, and W 降水 is the total precipitation settlement value, R is the precipitation influence radius, S h is the drawdown, H is the distance from the impermeable layer to the ground surface, h 0 is the initial groundwater level burial depth, (ξ, η) represents the infinitesimal unit dξdη of the groundwater level calculation unit, f(ξ) is the precipitation funnel curve function after precipitation, k is the permeability coefficient, m is the number of plots, γ i is the natural unit weight of the i-th plot, γsati is the saturated unit weight of the i-th plot, γ satm is the saturated unit weight of the m-th plot, α v is the plot compression coefficient, e 0 is the initial void ratio, W is the surface settlement value at a distance of x meters from the foundation pit edge caused by the settlement of the dξdη infinitesimal element, γ w is the unit weight of water, and β is an empirical coefficient.

[0096] When h d / h ≤ 0.5, β can be taken as 1.0 - 1.2; when h d / h > 0.5, β can be taken as 0.8 - 1.0, where h d is the length of the retaining structure below the excavation surface, and h is the foundation pit excavation depth. The unit weight of water γ w is taken as 10 kN / m 3 . (ξ, η) represents the horizontal and vertical coordinates of the water level calculation unit dξdη infinitesimal element in the coordinate system (with the connection line between the foundation pit edge and the retaining structure as the origin, the retaining structure as the y-axis, and the back of the foundation pit as the x-axis).

[0097] It should be noted that the pores in saturated soil are completely filled with water and it is a solid-liquid two-phase medium composed of solid-phase soil particles and liquid-phase pore water. Such a porous water-saturated soil mass can be regarded as a solid-liquid two-phase random medium. The movement of soil particles should follow a random process. Under the influence of unit settlement, the rock and soil mass above the unit settlement level will move downward, and when transmitted to the surface, it forms a settlement basin W of the infinitesimal element.

[0098] In a possible embodiment, during the process of foundation pit excavation and dewatering, the third-party monitoring unit will continuously monitor the water level changes around the foundation pit. Therefore, the dewatering curve can also be determined by monitoring the changes in the groundwater level.

[0099] By superimposing the foundation pit excavation settlement value and the dewatering settlement value, the foundation pit surface settlement value is obtained.

[0100] Furthermore, by superimposing and calculating the foundation pit excavation settlement value and the dewatering settlement value, the final surface settlement amount G(x) is obtained, and the total surface settlement curve is fitted and plotted.

[0101] S300, obtain the actual surface settlement data to get the second settlement value curve, and calculate the difference data between the foundation pit surface settlement value curve and the second settlement value curve; when the difference data does not meet the tolerance condition, use the ant colony algorithm to perform parameter correction iteration on the settlement value prediction algorithm.

[0102] It should be noted that the values of different parameters will have a great impact on the calculation results. Therefore, it is particularly important to correct the calculation parameters through measured data.

[0103] The main steps of the parameter correction iteration process are as follows:

[0104] (1) Determine the calculation models of the profile (normal distribution model, improved normal distribution model, and skewed distribution model), and input each calculation parameter as required;

[0105] (2) In addition to the given initial calculation parameters, the range of variable parameters also needs to be determined. From the above calculation formulas, it can be seen that the influence range of ground settlement x 0 , the distance x m from the maximum settlement point to the foundation pit edge, and the envelope curve area ratio β are all variable parameters;

[0106] x 0 takes values from 2 to 4 times the excavation depth (h), x m takes values from 0.5 to 0.7 times the excavation depth (h), and the value range of β is between 0.8 and 1.2. Therefore, coefficients m, n, p are set, and x 0 = m * h, x m = n * h, β = p;

[0107] Then, the normal distribution calculation formula is: S w = pS p , and solve for x m ,

[0108] The improved normal distribution calculation formula is:

[0109] The skewed distribution calculation formula is:

[0110] Their variable intervals are [m min , m max , [n min , n max , [p min , p max ;

[0111] The step sizes are taken as s 1 , s 2 , s 3 , then the number of loop times for different single parameters are respectively:

[0112]

[0113] Among them, the step size can be selected as 0.1 or an integer multiple of 0.1;

[0114] To sum up, the settlement value of the foundation pit excavation calculated by the improved stratum loss method is expressed as:

[0115] When the cross-section calculation model is a normal distribution model, the calculation process of the foundation pit excavation settlement value is as follows:

[0116]

[0117] S w = pS p ,

[0118] y max = 1.4σ max ,

[0119] In the formula, x is the horizontal coordinate with the position of the maximum settlement value as the origin, m is the first coefficient, p is the second coefficient, σ(x, m, p) is the settlement value corresponding to x, x m is the distance from the position of the maximum surface settlement value to the edge of the foundation pit, S w is the envelope area of the settlement curve, S p is the envelope area of the deformation curve of the support structure, y max is the maximum horizontal displacement of the support structure;

[0120] Integrate to obtain the envelope area S of the settlement curve w .

[0121] When the cross-section calculation model is an improved normal distribution model, the calculation process of the foundation pit excavation settlement value is as follows:

[0122]

[0123] In the formula, h is the foundation pit excavation depth;

[0124] When the cross-section calculation model is a skewed distribution model, the calculation process of the foundation pit excavation settlement value is as follows:

[0125]

[0126] In the formula, n is the third coefficient, and σ(x, p, n) is the settlement value corresponding to x.

[0127] In this embodiment, by adopting different prediction methods for the foundation pit excavation settlement value for different cross-section calculation models, it is possible to more comprehensively and accurately adapt to various geological conditions and engineering characteristics. This flexible and diverse prediction method ensures accurate and reliable settlement prediction results in different situations, thereby effectively improving the engineering safety and construction efficiency and reducing potential risks and costs.

[0128] (3) Monitor the deformation data of the support structure and the groundwater level rise and fall data, substitute them into the settlement value prediction algorithm, calculate the surface settlement value of the foundation pit for this time, and compare the measured value with the calculated value;

[0129] The measured data has u points, and the actual monitoring results of each point are F u (u = 1, 2, 3......). After establishing models with different parameters (m, n, p), let the function G(x, m, n, p) be the calculation result of the settlement value prediction algorithm, and calculate the function f(x, m, n, p):

[0130]

[0131] When the value of the function f(x, m, n, p) is the smallest, it is the optimal parameter solution. Return the optimal parameters to obtain the settlement value prediction algorithm of the optimal solution;

[0132] (4) If the limit difference between the measured value and the calculated value does not exceed the limit difference, the settlement value prediction algorithm is considered reliable, and the existing parameters are continued to be used as the next calculation parameters. If the measured value and the calculated value exceed the limit difference, start the parameter verification program, and according to the variable range of the parameters, iterate the calculation results of different parameter values (if there are multiple variable parameters, perform a full permutation iteration), and find the optimal parameter solution from them, and set this optimal solution as the initial parameter for the next calculation.

[0133] In a possible embodiment, the excavation depth h of a foundation pit is 12.165 meters, the depth HD of the support structure is 29 meters, the maximum horizontal displacement y of the support structure max = 54.2 meters, the envelope area of the support structure is 159.5325 square meters. For the first time, the coefficient m = 2 is taken, and in the settlement value prediction algorithm that improves the distributed superposition of precipitation influence, the coefficient m is corrected. In addition to the original m taking 2, m is taken as 2.5, 3.0, and 3.5 respectively for calculation. The calculation results are shown in Table 1. From the calculation results, when m takes 3.0, the calculated f is the smallest. Therefore, x0 is taken as 3.0 times the excavation depth as the excavation influence settlement range for calculation.

[0134] The calculation of a single variable parameter is relatively simple. Within the parameter value range, multiple changing values are selected at equal intervals for calculation. For the calculation of multiple variable parameters, the permutation method is used. First, multiple values are selected separately, and then they are arranged to form multiple variable parameter groups, and each parameter group is calculated separately, and then the optimal solution is selected from them.

[0135]

[0136] Table 1

[0137] In this embodiment, by monitoring the deformation data of the support structure and the groundwater level rise and fall data, and substituting them into the settlement value prediction algorithm to calculate the foundation pit surface settlement value, this technical solution can effectively compare the measured value with the calculated value. When the limit difference between the two does not exceed the preset standard, it indicates that the prediction algorithm is reliable, and the current parameters can be directly used for subsequent calculations. Otherwise, the parameter verification program is started, and the parameters are automatically iteratively optimized until the limit difference requirement is met. This process significantly improves the accuracy and reliability of the prediction, helps to adjust the construction plan in a timely manner, and ensures the project quality and safety.

[0138] (5) Perform cyclic iteration according to the above process.

[0139] Preferably, the parameter correction iteration of the settlement value prediction algorithm using the ant colony algorithm includes:

[0140] Set an initial parameter set, and the initial parameter set includes m, n, and p;

[0141] Set the number of ants, the initial pheromone concentration, and the evaporation rate of the ant colony algorithm;

[0142] According to the initial parameter set, combined with the settlement value prediction algorithm and the second settlement value curve, calculate the difference data;

[0143] Based on the pheromone concentration, use the probability formula of the ant colony algorithm to select a new parameter set, and update m, n, and p;

[0144] According to the difference data calculated from the new parameter set, update the pheromone concentration and the evaporation rate, and iterate the ant colony algorithm until the difference data meets the limit condition, and obtain the corrected m, n, and p.

[0145] In this embodiment, the ant colony algorithm is used to calculate the surface settlement value with the initial parameter set, obtain the actual surface settlement data, obtain the second settlement value curve, calculate the difference data between the foundation pit surface settlement value curve and the second settlement value curve. Further, according to the pheromone concentration and the heuristic function, use the probability formula of the ant colony algorithm to select a new parameter set and update the parameter set, including the new values of m, n, and p. If the newly selected parameter set results in the surface settlement value being closer to the actual measured value, increase the pheromone concentration of this parameter combination, otherwise, decrease its pheromone concentration, and regularly simulate the evaporation of the pheromone to avoid falling into a local optimal solution. Calculate the surface settlement value of the current parameter set and compare it with the measured value. If the limit condition is met, stop the iteration process and output the optimal solution.

[0146] In this embodiment, the ant colony algorithm is used to correct and iterate the parameters of the settlement value prediction algorithm, which has significant beneficial effects. It can automatically search for and optimize the best combination of parameters m, n, and p, thereby improving the accuracy of settlement value prediction. By simulating the behavior of ants searching for food in nature, the ant colony algorithm can effectively explore the parameter space, avoid the local optimal traps that may be encountered in traditional methods, and help quickly find the global optimal solution. This not only reduces the need for manual intervention but also improves the calculation efficiency and prediction accuracy, which is particularly useful for surface settlement prediction in complex environments.

[0147] In summary, the method provided in this embodiment can at least achieve the following effects:

[0148] The present invention comprehensively considers the impacts of foundation pit excavation and foundation pit dewatering on surface settlement. Compared with the traditional methods that only consider a single factor, it can more comprehensively reflect the actual situation. Further, by superimposing the settlement results under the influence of excavation and dewatering, a total surface settlement curve closer to the actual situation is obtained, and the calculation results are corrected using the actually measured settlement values, significantly improving the prediction accuracy.

[0149] See Figure 2 , in one embodiment, a foundation pit surface settlement prediction system is further provided. The system includes:

[0150] A data acquisition module 100 for acquiring the deformation data of the support structure and the groundwater level rise and fall data;

[0151] A data prediction module 200 for inputting the deformation data of the support structure and the groundwater level rise and fall data into a preset settlement value prediction algorithm to calculate the foundation pit surface settlement value curve;

[0152] An algorithm correction module 300 for obtaining the actual surface settlement data to get a second settlement value curve, and calculating the difference data between the foundation pit surface settlement value curve and the second settlement value curve; when the difference data does not meet the tolerance condition, the ant colony algorithm is used to correct and iterate the parameters of the settlement value prediction algorithm.

[0153] See Figure 5 , in one embodiment, the data prediction module 200 includes:

[0154] A foundation pit excavation settlement value prediction unit 201 for calculating the foundation pit excavation settlement value based on a preset profile calculation model and the deformation data of the support structure, and using the stratum loss method. The profile calculation model includes a normal distribution model, an improved normal distribution model, or a skewed distribution model;

[0155] A dewatering settlement value prediction unit 202 for calculating the dewatering settlement value based on the groundwater level rise and fall data and using a preset dewatering settlement value prediction algorithm;

[0156] The foundation pit ground settlement value calculation unit 203 is used to superimpose the foundation pit excavation settlement value and the dewatering settlement value to obtain the foundation pit ground settlement value.

[0157] It can be understood that the functions or modules included in the system provided in this embodiment can be used to execute the methods described in the above method embodiments. The specific implementation can refer to the description of the above method embodiments. For the sake of brevity, it will not be elaborated here.

[0158] The present invention also provides an electronic device, including a processor and a memory. The memory is used to store computer program code, and the computer program code includes computer instructions. When the processor executes the computer instructions, the electronic device executes the method in any of the above possible implementation manners.

[0159] The present invention also provides a computer-readable storage medium, in which a computer program is stored. The computer program includes program instructions. When the program instructions are executed by the processor of the electronic device, the processor is caused to execute the method in any of the above possible implementation manners.

[0160] Those of ordinary skill in the art can realize that the units and algorithm steps of each example described in combination with the embodiments disclosed herein can be implemented by electronic hardware, or a combination of computer software and electronic hardware. Whether these functions are executed in a hardware or software manner depends on the specific application and design constraints of the technical solution. Those skilled in the art can use different methods to implement the described functions for each specific application, but such implementation should not be considered to exceed the scope of the present invention.

[0161] Those skilled in the art can clearly understand that for the convenience and brevity of description, the specific working processes of the above-described system, device, and unit can refer to the corresponding processes in the foregoing method embodiments and will not be elaborated here. Those skilled in the art can also clearly understand that each embodiment of the present invention has different emphases in description. For the convenience and brevity of description, the same or similar parts may not be elaborated in different embodiments. Therefore, the parts not described or not described in detail in a certain embodiment can be referred to the descriptions of other embodiments.

Claims

1. A method for predicting surface settlement of a foundation pit, characterized in that: The method comprises: Collect support structure deformation data and groundwater rise and fall data, and obtain the preset section calculation model and support structure deformation data; When the profile calculation model is a normal distribution model, the calculation process of the foundation pit excavation settlement value is as follows based on the deformation data of the support structure: ， ， ， In the formula, is the horizontal coordinate with the maximum settlement position as the origin, is the first coefficient, is the second coefficient, for The corresponding sedimentation value, is the distance from the maximum surface settlement position to the foundation pit edge, is the envelope area of ​​the settlement curve, is the envelope area of ​​the deformation curve of the supporting structure, is the maximum horizontal displacement of the supporting structure, is the maximum settlement value; When the profile calculation model is the improved normal distribution model, the calculation process of foundation pit excavation settlement value is as follows: , In the formula, is the excavation depth of foundation pit; When the profile calculation model is a skewed distribution model, the calculation process of foundation pit excavation settlement value is as follows: , In the formula, is the third coefficient, for The corresponding settlement value; Based on the groundwater rise and fall data, the precipitation settlement value is calculated using the preset precipitation settlement value prediction algorithm; Superimpose the excavation settlement value of the foundation pit and the precipitation settlement value to obtain the surface settlement value of the foundation pit; The actual surface settlement data is obtained, the actual settlement value curve is determined according to the actual surface settlement data, and the difference data between the foundation pit surface settlement value curve and the actual settlement value curve is calculated; when the difference data does not meet the limit condition, the ant colony algorithm is used to iterate the parameters of the settlement value prediction algorithm.

2. The method for predicting foundation pit surface settlement according to claim 1, characterized in that: The precipitation precipitation value prediction algorithm is expressed as: ， , , In the formula, is the settlement value of a single plot, is the total precipitation value, is the precipitation impact radius, As the water level drops, is the distance from the impermeable layer to the ground. is the initial water level depth, Represents the water level calculation unit Tiny unit, is the funnel curve function of foundation pit dewatering after dewatering, is the permeability coefficient, m is the number of plots, For the The natural weight of the plot, For the The saturation density of the plot, For the The saturation density of the plot, is the plot compression coefficient, is the initial void ratio, for The surface settlement value of the micro-unit at a distance of x meters from the foundation pit edge is is the weight of water, is the empirical coefficient.

3. The method for predicting foundation pit surface settlement according to claim 1, characterized in that: The method of using the ant colony algorithm to iterate the parameters of the settlement value prediction algorithm includes: Set an initial parameter set, which includes m, n and p; Set the number of ants, initial pheromone concentration and evaporation rate of the ant colony algorithm; According to the initial parameter set and in combination with the settlement value prediction algorithm and the second settlement value curve, the difference data is calculated; Based on the pheromone concentration, the probability formula of the ant colony algorithm is used to select a new parameter set and update m, n and p; According to the difference data calculated by the new parameter set, the pheromone concentration and evaporation rate are updated, and the ant colony algorithm is iterated until the difference data meets the limit difference condition to obtain the corrected m, n and p.

4. A foundation pit surface settlement prediction system, characterized in that: The system comprises: The data acquisition module is used to collect support structure deformation data and groundwater rise and fall data, and obtain the preset profile calculation model and support structure deformation data; The data prediction module is used when the profile calculation model is a normal distribution model. Based on the deformation data of the support structure, the calculation process of the foundation pit excavation settlement value is as follows: ， ， ， In the formula, is the horizontal coordinate with the maximum settlement position as the origin, is the first coefficient, is the second coefficient, for The corresponding sedimentation value, is the distance from the maximum surface settlement position to the foundation pit edge, is the envelope area of ​​the settlement curve, is the envelope area of ​​the deformation curve of the supporting structure, is the maximum horizontal displacement of the supporting structure, is the maximum settlement value; When the profile calculation model is the improved normal distribution model, the calculation process of foundation pit excavation settlement value is as follows: , In the formula, is the excavation depth of foundation pit; When the profile calculation model is a skewed distribution model, the calculation process of foundation pit excavation settlement value is as follows: , In the formula, is the third coefficient, for The corresponding settlement value; Based on the groundwater rise and fall data, the precipitation settlement value is calculated using the preset precipitation settlement value prediction algorithm; Superimpose the excavation settlement value of the foundation pit and the precipitation settlement value to obtain the surface settlement value of the foundation pit; The algorithm correction module is used to obtain actual surface settlement data, obtain the second settlement value curve, and calculate the difference data between the foundation pit surface settlement value curve and the second settlement value curve; when the difference data does not meet the limit difference condition, the ant colony algorithm is used to iterate the parameters of the settlement value prediction algorithm.

5. An electronic device, characterized in that: include: A processor and a memory, wherein the memory is used to store computer program codes, wherein the computer program codes include computer instructions. When the processor executes the computer instructions, the electronic device executes the foundation pit surface settlement prediction method as described in any one of claims 1 to 3.

6. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores a computer program, which includes program instructions. When the program instructions are executed by a processor of an electronic device, the processor executes the foundation pit surface settlement prediction method according to any one of claims 1 to 3.

Images