A method, device, equipment and medium for evaluating negative skin friction of a rigid pile

Abstract

This invention discloses a method, apparatus, equipment, and medium for assessing the negative skin friction of rigid piles. The method includes: acquiring measured surface settlement data of the soil layer surrounding the rigid pile and the pile top load; adjusting the calculation data of a soft soil consolidation model based on the measured surface settlement data of the soil layer surrounding the pile to obtain target calculation data; inputting the target calculation data into the soft soil consolidation model to obtain settlement data of at least one soil layer; and determining the negative skin friction of the rigid pile based on the pile top load and the settlement data of each soil layer. The embodiments of this invention can improve the accuracy and efficiency of negative skin friction assessment.

Description

Technical Field

[0001] This invention relates to the field of computer technology, and in particular to a method, apparatus, equipment, and medium for evaluating the negative skin friction of rigid piles. Background Technology

[0002] To meet elevation requirements or other flood control requirements, a certain thickness of fill soil is often required on the construction site. Under the action of fill soil load, the original foundation soil will undergo consolidation settlement. The load borne by the pile foundation may additionally bear the negative skin friction caused by the consolidation of the soil around the pile, reducing the safety margin of the pile foundation and threatening its safe operation.

[0003] There are two common methods for testing the negative skin friction of pile foundations. One method is to use theoretical calculation, which involves embedding stress gauges in the reinforcing cage to calculate the variation of the pile's bearing capacity along the pile shaft, thereby determining the negative skin friction of the pile foundation. The other method is to use actual measurement, which involves embedding layered displacement gauges in the soil around the pile foundation to measure the displacement of the soil around the pile, thus determining the negative skin friction of the pile foundation.

[0004] The two testing methods mentioned above involve a large workload and a long cycle. At the same time, the test sensors are easily damaged during the installation or subsequent construction process, resulting in discontinuous, abnormal, and irregular test data, which may even be unusable for calculating and evaluating negative skin friction. Summary of the Invention

[0005] This invention provides a method, apparatus, equipment, and medium for assessing the negative skin friction of rigid piles, thereby improving the accuracy and efficiency of assessing the negative skin friction of rigid piles.

[0006] According to one aspect of the present invention, a method for evaluating the negative skin friction of a rigid pile is provided, the method comprising:

[0007] Obtain measured data on the surface settlement of the soil around the rigid pile and the load at the top of the pile;

[0008] The calculation data of the soft soil consolidation model are adjusted based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data;

[0009] The target calculation data is input into the soft soil consolidation model to obtain settlement data for at least one soil layer;

[0010] The negative skin friction of the rigid pile is determined based on the pile top load and the settlement data of each soil layer.

[0011] According to another aspect of the present invention, a device for evaluating the negative skin friction of a rigid pile is provided, the device comprising:

[0012] The data acquisition module is used to acquire measured surface settlement data of the soil layer around the rigid pile and the pile top load.

[0013] The target data acquisition module is used to adjust the calculation data of the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data.

[0014] The settlement data acquisition module is used to input the target calculation data into the soft soil consolidation model to obtain settlement data of at least one soil layer;

[0015] The negative skin friction determination module is used to determine the negative skin friction of the rigid pile based on the pile top load and the settlement data of each soil layer.

[0016] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0017] At least one processor; and

[0018] A memory communicatively connected to the at least one processor; wherein,

[0019] The memory stores a computer program that can be executed by the at least one processor, which enables the at least one processor to perform the rigid pile negative skin friction assessment method according to any embodiment of the present invention.

[0020] According to another aspect of the present invention, a computer-readable storage medium is provided, the computer-readable storage medium storing computer instructions for causing a processor to execute and implement the rigid pile negative skin friction assessment method according to any embodiment of the present invention.

[0021] According to another aspect of the present invention, a computer product is provided, the computer program product comprising a computer program that, when executed by a processor, implements the rigid pile negative skin friction evaluation method according to any embodiment of the present invention.

[0022] The technical solution of this invention obtains measured surface settlement data of the soil layer around the rigid pile and pile top load through actual measurement. The measured surface settlement data of the soil layer around the pile is used to adjust the calculation data of the soft soil consolidation model. The adjusted target calculation data is input into the soft soil consolidation model to obtain settlement data of at least one soil layer. Thus, the negative skin friction of the rigid pile is determined by combining the pile top load. By combining the measured data with the model, the accuracy of negative skin friction assessment is increased. At the same time, the measured surface settlement data of the soil layer around the pile and pile top load are obtained, reducing the data acquisition time and improving the efficiency of negative skin friction assessment.

[0023] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0024] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0025] Figure 1 This is a flowchart of a method for evaluating the negative skin friction of a rigid pile according to Embodiment 1 of the present invention;

[0026] Figure 2 This is a flowchart of a method for evaluating the negative skin friction of a rigid pile according to Embodiment 2 of the present invention;

[0027] Figure 3 This is a flowchart of a method for evaluating the negative skin friction of a rigid pile according to Embodiment 3 of the present invention;

[0028] Figure 4a This is an application illustration of a method for evaluating the negative skin friction of a rigid pile according to Embodiment 4 of the present invention;

[0029] Figure 4b This is a schematic diagram showing the relationship between the relative displacement of the pile and the soil and the side friction resistance of a certain soil layer.

[0030] Figure 4c This is a schematic diagram showing the relationship between pile end resistance and pile displacement.

[0031] Figure 5 This is a structural schematic diagram of a rigid pile negative skin friction assessment device provided in Embodiment 5 of the present invention;

[0032] Figure 6 This is a schematic diagram of the structure of an electronic device for implementing the rigid pile negative skin resistance assessment method of this invention. Detailed Implementation

[0033] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort should fall within the scope of protection of the present invention.

[0034] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that the embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or device that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or devices. In the technical solutions of this invention, the collection, storage, use, processing, transmission, provision, and disclosure of data all comply with relevant laws and regulations and do not violate public order and good morals.

[0035] Example 1

[0036] Figure 1 This invention provides a flowchart of a method for evaluating the negative skin friction of rigid piles according to Embodiment 1. This embodiment is applicable to situations where the negative skin friction of rigid piles is evaluated during construction. The method can be executed by a rigid pile negative skin friction evaluation device, which can be implemented in hardware and / or software and can be configured in an electronic device. Figure 1 As shown, the method includes:

[0037] S110. Obtain measured data on the surface settlement of the soil around the rigid pile and the load at the top of the pile.

[0038] Rigid piles are pile foundations used in construction sites to improve the bearing capacity of the ground. When a rigid pile shifts, its axis remains unchanged; only the surrounding soil deforms. Measured surface settlement data of the soil layer around the pile refers to the settlement displacement of the soil layer located on the surface around the rigid pile over a certain period of time. It is understood that to meet elevation requirements or other flood control requirements, a certain thickness of fill soil is often added to the original foundation soil on construction sites. Under the load of the fill soil, the original foundation soil will undergo consolidation settlement, which takes a certain amount of time. Measured surface settlement data of the soil layer around the pile describes the downward consolidation settlement displacement of the surface soil layer, i.e., the fill soil, over a certain period of time. For example, settlement monitoring points can be set up on the surface of the land around the rigid pile, i.e., the surface of the soil around the pile, and displacement sensors can be installed at these monitoring points. The measured data is the measured surface settlement data of the soil layer around the pile. Pile top load describes the pressure borne by the top of the rigid pile, i.e., the downward force borne by the end of the rigid pile closest to the ground surface. For example, a soil pressure cell, strain gauge, or steel gauge can be embedded at the top of the rigid pile, that is, on the side of the rigid pile closest to the ground surface, to measure the load at the top of the pile.

[0039] Specifically, by installing sensors on the surface and top of the soil surrounding the rigid pile, the measured surface settlement data of the soil around the pile and the pile top load are obtained. Compared with existing technologies, there is no need to bury the sensors deeply, avoiding damage to the sensors during installation or subsequent construction, thus improving the accuracy of the measured surface settlement data of the soil around the pile and the pile top load.

[0040] S120. Adjust the calculation data of the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data.

[0041] The soft soil consolidation model is used to predict the settlement data of at least one soil layer around a pile. It can be understood that around a rigid pile, from the ground surface downwards, at least one soil layer undergoes consolidation settlement over a certain period of time. The soft soil consolidation model can predict the displacement of this consolidation settlement over that time. The input data for the soft soil consolidation model is the calculated data, and the output data is the settlement data of at least one soil layer, that is, the displacement of the consolidation settlement of each soil layer over a certain time. The calculated data is used to calculate the settlement data of each soil layer, which is the input data of the soft soil consolidation model. For example, the calculated data of the soft soil consolidation model may include the consolidation coefficient and the permeability coefficient. The consolidation coefficient refers to the length of time required for soil layer consolidation. The permeability coefficient is a quantitative indicator representing the permeability of the soil. The target calculated data refers to the adjusted calculated data.

[0042] Specifically, settlement data of the soil layer located on the ground surface is obtained from the output of the soft soil consolidation model. The error between the settlement data of the soil layer located on the ground surface and the measured settlement data of the soil layer around the pile is compared. Based on the comparison results, the calculation data is adjusted to obtain the adjusted calculation data. The above process is repeated from the input of the calculation data into the soft soil consolidation model until the error between the predicted settlement data of the soil layer located on the ground surface and the measured settlement data of the soil layer around the pile meets the accuracy requirements. The final adjusted calculation data is then used as the target calculation data.

[0043] S130. Input the target calculation data into the soft soil consolidation model to obtain settlement data of at least one soil layer.

[0044] Specifically, the target calculation data is input into the soft soil consolidation model, which outputs settlement data for at least one soil layer. It can be understood that the soil surrounding a rigid pile, starting from the ground surface downwards, can include at least one soil layer, and the settlement data for each soil layer surrounding the rigid pile can be obtained through the soft soil consolidation model.

[0045] S140. Determine the negative skin friction of the rigid pile based on the pile top load and the settlement data of each soil layer.

[0046] Specifically, based on the pile top load and settlement data of each soil layer, the parameters for calculating the side skin friction of the rigid pile in each soil layer, as well as the parameters for calculating the pile tip resistance, are looked up using tables. Side skin friction refers to the frictional force acting on the side of the rigid pile, which can be determined using the soil layer settlement data and the rigid pile displacement. Pile tip resistance refers to the upward force acting on the end of the rigid pile furthest from the ground surface, which can be determined using the rigid pile displacement. Based on the force relationship of the rigid pile, a balance relationship can be established between the pile tip resistance, the side skin friction in each soil layer, and the pile top load. The displacement of the rigid pile can then be determined. Based on the displacement of the rigid pile and the settlement data of each soil layer, the direction of the side skin friction in each soil layer can be determined. The sum of the downward-directed side skin friction is determined as the negative skin friction of the rigid pile.

[0047] The technical solution of this invention obtains measured surface settlement data of the soil layer around the rigid pile and pile top load through actual measurement. The measured surface settlement data of the soil layer around the pile is used to adjust the calculation data of the soft soil consolidation model. The adjusted target calculation data is input into the soft soil consolidation model to obtain settlement data of at least one soil layer. Thus, the negative skin friction of the rigid pile is determined by combining the pile top load. By combining the measured data with the model, the accuracy of negative skin friction assessment is increased. At the same time, the measured surface settlement data of the soil layer around the pile and pile top load are obtained, reducing the data acquisition time and improving the efficiency of negative skin friction assessment.

[0048] Example 2

[0049] Figure 2 This is a flowchart of a method for evaluating the negative skin friction of a rigid pile according to Embodiment 2 of the present invention. Based on the above embodiments, this embodiment adjusts the calculation data of the soft soil consolidation model according to the measured surface settlement data of the soil layer around the pile to obtain target calculation data. Specifically, it is refined as follows: The soft soil consolidation model is inverted based on the measured surface settlement data of the soil layer around the pile to update the calculation data and obtain intermediate calculation data; the intermediate calculation data is input into the soft soil consolidation model to obtain predicted surface settlement data in the output data; if the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is less than or equal to an error threshold, the intermediate calculation data is determined as the target calculation data; if the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is greater than the error threshold, the process returns to the step of inverting the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile to update the calculation data and obtain intermediate calculation data. Figure 2 As shown, the method includes:

[0050] S210. Obtain measured data on the surface settlement of the soil around the rigid pile and the load at the top of the pile.

[0051] S220. Based on the measured surface settlement data of the soil layer around the pile, perform inversion analysis on the soft soil consolidation model, update the calculation data of the soft soil consolidation model, and obtain intermediate calculation data.

[0052] In this invention, inversion analysis refers to a method of analyzing the mechanical properties and / or initial stress conditions of at least one soil layer using numerical analysis based on the consolidation settlement displacement monitored under actual engineering loads. Intermediate calculation data describes the calculation data obtained after updating the calculation data during the process of obtaining the target calculation data.

[0053] Specifically, the calculation data of the soft soil consolidation model can be preset, the measured surface settlement data of the soil layer around the pile can be used as the ideal output data of the soft soil consolidation model, the calculation data of the soft soil consolidation model can be inverted and analyzed to update the calculation data of the soft soil consolidation model, and the updated calculation data can be used as intermediate calculation data.

[0054] S230. Input the intermediate calculation data into the soft soil consolidation model to obtain the predicted surface settlement data in the output data.

[0055] Predicted surface settlement data is used to describe the displacement of soil layers located on the ground surface undergoing consolidation settlement, obtained through a soft soil consolidation model. Specifically, intermediate calculation data is input into the soft soil consolidation model to obtain the settlement data of the soil layers located on the ground surface output by the soft soil consolidation model, which is then used as the predicted surface settlement data.

[0056] In another possible implementation, the step of inputting the intermediate calculation data into the soft soil consolidation model to obtain the predicted surface settlement data in the output data includes: inputting the intermediate calculation data into the soft soil consolidation model to obtain the predicted settlement data of at least one soil layer; and extracting the predicted surface settlement data from the predicted settlement data of each soil layer.

[0057] Predicted settlement data is used to describe the displacements of each soil layer undergoing consolidation settlement, obtained through a soft soil consolidation model. Specifically, intermediate calculation data is input into the soft soil consolidation model, and the output data includes predicted settlement data for at least one soil layer. It can be understood that each soil layer corresponds to a set of predicted settlement data. From the predicted settlement data of each soil layer, the predicted settlement data of the soil layer located at the surface is selected as the predicted surface settlement data.

[0058] S240. If the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is less than or equal to the error threshold, the intermediate calculation data shall be determined as the target calculation data.

[0059] The error threshold is used to describe the magnitude of the error between measured surface settlement data and predicted surface settlement data. Specifically, the difference between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is taken as the error and compared with the error threshold; alternatively, the ratio of the difference between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data to the measured surface settlement data of the soil layer around the pile can be taken as the error and compared with the error threshold. When the error is less than or equal to the error threshold, the intermediate calculated data is determined as the target calculated data, indicating that the measured surface settlement data of the soil layer around the pile is basically consistent with the predicted surface settlement data, that is, the soft soil consolidation model is accurate, and the settlement data of at least one soil layer that is the same as the actual situation can be obtained through the soft soil consolidation model.

[0060] S250, if the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is greater than the error threshold, the intermediate calculation data is determined as the calculation data of the soft soil consolidation model, and the process of performing inversion analysis on the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile, updating the calculation data of the soft soil consolidation model, and obtaining the intermediate calculation data is repeated.

[0061] Specifically, if the error is less than or equal to the error threshold, it indicates that there is a large error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data. The settlement data of each soil layer that can be obtained through the soft soil consolidation model cannot represent the actual settlement data of each soil layer. The calculation data needs to be further updated. At this time, the intermediate calculation data is used as the calculation data of the soft soil consolidation model, and the process returns to step S220.

[0062] S260. Input the target calculation data into the soft soil consolidation model to obtain settlement data of at least one soil layer.

[0063] S270. Determine the negative skin friction of the rigid pile based on the pile top load and the settlement data of each soil layer.

[0064] The technical solution of this invention uses measured surface settlement data of the soil layer around the pile to perform inversion analysis on the soft soil consolidation model, updates the calculation data, obtains intermediate calculation data, and uses the intermediate calculation data to obtain predicted surface settlement data. When the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is greater than the error threshold, the aforementioned process is repeated, realizing multiple adjustments of the calculation data until the error is less than or equal to the error threshold. This can improve the accuracy of the target calculation data, thereby improving the accuracy of the soft soil consolidation model.

[0065] Example 3

[0066] Figure 3 This is a flowchart of a method for evaluating the negative skin friction of a rigid pile according to Embodiment 3 of the present invention. Based on the above embodiments, this embodiment further refines the determination of the negative skin friction of the rigid pile based on the pile top load and the settlement data of each soil layer as follows: The pile top load and the settlement data of each soil layer are input into the pile body stress model to determine the pile body displacement; based on the pile body displacement and the settlement data of each soil layer, the soil layer where the neutral point is located is determined; the sum of the side skin friction of at least one soil layer above the soil layer where the neutral point is located is taken as the negative skin friction of the rigid pile. Figure 3 As shown, the method includes:

[0067] S310. Obtain measured data on the surface settlement of the soil around the rigid pile and the load at the top of the pile.

[0068] S320. Adjust the calculation data of the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data.

[0069] S330. Input the target calculation data into the soft soil consolidation model to obtain settlement data of at least one soil layer.

[0070] S340. Input the pile top load and the settlement data of each soil layer into the pile body stress model to determine the pile body displacement of the rigid pile.

[0071] The pile stress model is used to describe the stress relationship of a rigid pile, and the pile displacement can be obtained through the pile stress model. Pile displacement refers to the displacement generated by the rigid pile during the consolidation and settlement of the surrounding soil. It can be understood that during the consolidation and settlement process, a certain frictional force will be generated between the surrounding soil and the rigid pile. The rigid pile will be displaced under the influence of the frictional force, which is the pile displacement.

[0072] Specifically, the pile top load and settlement data of each soil layer are used as input data and input into the pile body stress model. The output data obtained is the pile body displacement of the rigid pile.

[0073] S350. Based on the pile displacement and the settlement data of each soil layer, determine the soil layer where the neutral point is located.

[0074] The neutral point describes the location where the difference in displacement between a cross-section of a rigid pile and the surrounding soil is zero. This means that the displacement of each cross-section on a rigid pile is the same, representing the pile body displacement. Different soil layers in the surrounding soil undergo different displacements during consolidation settlement, resulting in different settlement data for each layer. When the pile body displacement is the same as the settlement data of a specific soil layer on a rigid pile, it indicates that there is no relative displacement between that soil layer and the portion of the rigid pile located within it; this soil layer is the neutral point.

[0075] Specifically, the pile displacement is compared with the settlement data of each soil layer. If the settlement data of the soil layer is the same as the pile displacement, the soil layer corresponding to the settlement data is determined as the soil layer where the neutral point is located.

[0076] S360. The sum of the side friction resistance of at least one soil layer above the neutral point is taken as the negative friction resistance of the rigid pile.

[0077] Side skin friction describes the force exerted at a point on the side of a rigid pile. Negative skin friction describes the force exerted at a point on the side of a rigid pile that is perpendicular to the ground and directed downwards. Specifically, the side skin friction of at least one soil layer above the neutral point is calculated using soil settlement data and pile displacement. The sum of the side skin friction of at least one soil layer above the neutral point is taken as the negative skin friction of the rigid pile.

[0078] For example, the side friction τ can be calculated as follows: i =k i ·ΔS i Among them, τ i k is the side friction resistance experienced by the rigid pile at a point on the i-th soil layer. iThe side friction coefficient of the i-th soil layer can be obtained by looking up a table; ΔS i Let be the relative displacement between the pile and the soil in the i-th soil layer. Where ΔS i =wS i w represents the pile displacement, and S represents the displacement of the pile body. i This represents the settlement data for the i-th soil layer. It can be understood that the soil around the pile is layered downwards from the ground surface, resulting in layers 1, 2, 3, and so on, with the surface layer being layer 1. The basis for layering the soil around the pile can be determined based on the actual situation; for example, it can be based on the composition of the soil around the pile. The side skin friction F of the i-th soil layer can be calculated as follows: i =τ i h i πD, where F i h is the side friction resistance borne by the rigid pile in the i-th soil layer; i H is the thickness of the i-th soil layer; D is the diameter of the rigid pile; h i D and are fixed parameters that can be set according to actual conditions.

[0079] The technical solution of this invention determines the pile displacement of a rigid pile through a pile stress model, which can improve the accuracy of pile displacement, thereby improving the accuracy of the soil layer where the neutral point is located and the accuracy of negative skin friction.

[0080] Optionally, the step of inputting the pile top load and the settlement data of each soil layer into the pile body stress model to determine the pile body displacement of the rigid pile includes: inputting the pile top load and the settlement data of each soil layer into the pile body stress model to obtain the first pile body displacement of the rigid pile, wherein the pile body stress model includes a side skin friction model and a pile end resistance model; updating the side resistance parameters of the side skin friction model and the pile end resistance parameters of the pile end resistance model according to the first pile body displacement and the settlement data of each soil layer to obtain an updated pile body stress model; inputting the pile top load and the settlement data of each soil layer into the updated model... In the subsequent pile stress model, the second pile displacement is obtained; if the error between the first pile displacement and the second pile displacement meets the accuracy requirements, the second pile displacement is taken as the pile displacement of the rigid pile; if the error between the first pile displacement and the second pile displacement does not meet the accuracy requirements, the second pile displacement is updated to the first pile displacement, and the process of updating the side resistance parameters of the side friction model and the pile end resistance parameters of the pile end resistance model based on the first pile displacement and the settlement data of each soil layer is returned to obtain the updated pile stress model.

[0081] The side skin friction model describes the sum of side skin friction experienced by a rigid pile in each soil layer. The pile tip resistance model describes the pressure on the pile tip, that is, the pressure on the end of the rigid pile furthest from the ground surface. For example, the side skin friction model can be described as follows: F = ∑ i k i (wS i )h i πD, where F i =k i (wS i )h i πD, F i Let be the side skin friction resistance borne by the rigid pile in the i-th soil layer; F is the sum of the side skin friction resistance borne by the rigid pile in each soil layer; k i is the side skin friction coefficient of the i-th soil layer; w is the pile displacement; S i h represents the settlement data for the i-th soil layer; i Let be the thickness of the i-th soil layer; D be the diameter of the rigid pile. The pile end resistance model can be described in the following form: Where P is the pile end resistance, k b k is the pile end resistance coefficient. b The force model of the pile can be obtained by looking up a table. The force model of the pile can be described in the following form: P0 = F + P, where P0 is the load at the top of the pile.

[0082] The first pile displacement describes the pile displacement output by the pile stress model. The second pile displacement describes the pile displacement output by the updated pile stress model. Side resistance parameters refer to parameters in the side skin friction model; for example, they can be the side skin friction coefficients of each soil layer, or other parameters. Pile end resistance parameters refer to parameters in the pile end resistance model; for example, they can be the pile end resistance coefficient. Accuracy requirements characterize the magnitude of the error between the first and second pile displacements. For example, the difference between the first and second pile displacements can be used as the error between them, or the ratio of the difference to the first pile displacement can be used as the error. When the error between the first and second pile displacements is greater than or equal to the displacement error threshold, it indicates that the error between the first and second pile displacements is large and does not meet the accuracy requirements. When the error between the first and second pile displacements is less than the displacement error threshold, it indicates that the error between the first and second pile displacements is small and meets the accuracy requirements. The displacement error threshold can be determined according to the actual situation.

[0083] Specifically, the pile top load and settlement data of each soil layer are input into the pile stress model to obtain the first pile displacement output by the model. Based on the relationship curves between the pile displacement, the settlement data of each soil layer, and the side skin friction, as well as the relationship curve between the pile displacement and the pile end resistance, the side resistance parameters and the pile end resistance parameters are updated to obtain the updated pile stress model. The pile top load and the settlement data of each soil layer are then input into the updated pile stress model to obtain the second pile displacement output by the updated model. The relationship curves between the pile displacement, the settlement data of each soil layer, and the side skin friction, as well as the relationship curve between the pile displacement and the pile end resistance parameters, can be obtained by consulting relevant specifications, survey data, and literature. If the error between the first pile displacement and the second pile displacement is less than the displacement error threshold, it indicates that the error between the first pile displacement and the second pile displacement meets the accuracy requirements, and the second pile displacement is taken as the pile displacement of the rigid pile. If the error between the first pile displacement and the second pile displacement is greater than or equal to the displacement error threshold, it indicates that the error between the first pile displacement and the second pile displacement does not meet the accuracy requirements, and the second pile displacement is taken as the new first pile displacement. The process of updating the second pile displacement to the first pile displacement is then executed, and the process of updating the side resistance parameters of the side friction resistance model and the pile end resistance parameters of the pile end resistance model based on the first pile displacement and the settlement data of each soil layer is returned to obtain the updated pile stress model.

[0084] The first pile displacement is obtained by using a pile stress model. The parameters in the pile stress model are updated based on the first pile displacement and the settlement data of each soil layer, which improves the accuracy of the pile stress model. The second pile displacement is obtained by using the updated pile stress model. When the error between the first and second pile displacements meets the accuracy requirements, the pile displacement of the rigid pile is determined, which improves the accuracy of the pile displacement of the rigid pile.

[0085] Optionally, updating the side resistance parameters of the side friction model and the pile end resistance parameters of the pile end resistance model based on the first pile displacement and the settlement data of each soil layer includes: determining the relative pile-soil displacement of each soil layer based on the first pile displacement and the settlement data of each soil layer; for each soil layer, if the relative pile-soil displacement of the soil layer is greater than or equal to a relative displacement threshold, updating the side resistance parameters of the soil layer in the pile force model to obtain the updated side resistance parameters of the soil layer; if the first pile displacement is less than the pile displacement threshold, updating the pile end resistance parameters in the pile force model to a first pile end resistance parameter to obtain the updated pile end resistance parameters; if the first pile displacement is greater than or equal to the pile displacement threshold, updating the pile end resistance parameters in the pile force model to a second pile end resistance parameter to obtain the updated pile end resistance parameters; wherein the first pile end resistance parameters and the second pile end resistance parameters are determined based on the relationship curve between pile end resistance and pile displacement.

[0086] The pile-soil relative displacement refers to the difference between the pile displacement and the soil settlement data of a rigid pile. The relative displacement threshold is used to determine the magnitude of the pile-soil relative displacement. The pile displacement threshold is used to determine the magnitude of the first pile displacement. The first and second pile end resistance parameters describe the proportional relationship between pile end resistance and pile displacement. It can be understood that the relationship curve between pile end resistance and pile displacement is a bilinear curve, and the first and second pile end resistance parameters represent the slope of this bilinear curve.

[0087] Specifically, for each soil layer, the difference between the first pile displacement and the soil layer settlement data is taken as the pile-soil relative displacement of the soil layer. This pile-soil relative displacement is compared to a relative displacement threshold. When the pile-soil relative displacement is greater than or equal to the threshold, the side resistance parameters of the soil layer in the pile stress model are updated based on the relationship curve between the pile-soil relative displacement and side skin resistance—that is, based on the relationship curve between the pile displacement and the settlement data of each soil layer and side skin resistance. This yields the updated side resistance parameters of the soil layer. It can be understood that when the pile-soil relative displacement is greater than or equal to the relative displacement threshold, the side skin resistance no longer changes linearly with the pile-soil relative displacement but becomes a constant. In this case, k is used in the side skin resistance model. i (wS i Updated to k i S ui Substituting into the side skin friction model, the updated side skin friction model for the i-th soil layer can be expressed as F i =k i S ui h i πD is where S uiThe relative displacement threshold of the i-th soil layer is used as the updated side resistance parameter of the soil layer. When the relative displacement between the pile and the soil layer is less than the relative displacement threshold, the side resistance parameter of the soil layer remains unchanged.

[0088] The first pile displacement is compared with the pile displacement threshold. If the first pile displacement is less than the pile displacement threshold, the pile end resistance parameter in the pile force model is updated to the first pile end resistance parameter according to the relationship curve between the pile end resistance and the pile displacement, thus obtaining the updated pile end resistance parameter. If the first pile displacement is greater than or equal to the pile displacement threshold, the pile end resistance parameter in the pile force model is updated to the second pile end resistance parameter according to the relationship curve between the pile end resistance and the pile displacement, thus obtaining the updated pile end resistance parameter.

[0089] By comparing the relative displacement between the pile and the soil layer with the relative displacement threshold, the side resistance parameters of the soil layer are updated. By comparing the first pile displacement with the pile displacement threshold, the end resistance parameters of the pile are updated. This allows the output results of the pile stress model to be used to update the parameters in the pile stress model, thereby improving the accuracy of the parameters in the updated pile stress model.

[0090] Example 4

[0091] Figure 4a This is a schematic diagram illustrating the application of a rigid pile negative skin friction assessment method provided in Embodiment 4 of the present invention. Figure 4a As shown, the method includes:

[0092] Obtain measured data on the surface settlement of the soil around the rigid pile and the load on the pile top.

[0093] Among them, the measured surface settlement data of the soil layer around the pile is S. t The load at the top of the pile is P0.

[0094] The calculation data of the soft soil consolidation model are adjusted based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data.

[0095] The thickness of each soil layer was determined based on the survey data, along with calculation parameters such as the consolidation coefficient and permeability coefficient. A soft soil consolidation model was established based on the survey data, drainage board design parameters, additional load magnitude, and single-well consolidation model theory. This soft soil consolidation model is a three-dimensional finite element model. The measured S410 values ​​were used to determine the soil layer thickness. t Inversion analysis is performed to obtain the updated finite element model calculation parameters, which are the target calculation data.

[0096] Specifically, based on the measured surface settlement data of the soil layer around the pile, S tInversion analysis is performed on the soft soil consolidation model to update its calculation data and obtain intermediate calculation data. Specifically, the calculation data for the soft soil consolidation model can be pre-set based on survey data. This pre-set data is input into the model to obtain surface settlement data from the output data. The measured surface settlement data around the piles is used as the ideal output data for the model. By comparing the difference between the surface settlement data in the output data and the measured surface settlement data, inversion analysis is performed on the calculation data of the soft soil consolidation model. This involves increasing or decreasing the pre-set data to update the model's calculation data, which is then used as intermediate calculation data. This intermediate data is then input into the model to obtain the predicted surface settlement data from the output data. If the error between the measured surface settlement data and the predicted surface settlement data is less than or equal to an error threshold, the intermediate calculation data is determined as the target calculation data. If the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is greater than the error threshold, the intermediate calculation data is determined as the calculation data of the soft soil consolidation model. The process then returns to the step of performing an inversion analysis on the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile, updating the calculation data of the soft soil consolidation model, and obtaining the intermediate calculation data.

[0097] The target calculation data is input into the soft soil consolidation model to obtain settlement data for at least one soil layer.

[0098] Based on the target calculation data, the layered settlement S of the soil around the pile, consistent with the actual situation, can be calculated using a soft soil consolidation model. i That is, the settlement data of at least one soil layer.

[0099] The pile top load and the settlement data of each soil layer are input into the pile body stress model to determine the pile body displacement of the rigid pile.

[0100] The pile top load and settlement data of each soil layer are input into the pile stress model to obtain the first pile displacement w1 of the rigid pile. Specifically, the pile stress model is as follows: Where F is the sum of the side friction resistance borne by the rigid pile in each soil layer; k i is the side skin friction coefficient of the i-th soil layer; w is the pile displacement; S i h represents the settlement data for the i-th soil layer; i Let be the thickness of the i-th soil layer; D be the diameter of the rigid pile; P be the end resistance of the pile; k b P0 is the pile end resistance coefficient; P0 is the pile top load.

[0101] Based on the displacement of the first pile and the settlement data of each soil layer, the side resistance parameters of the side skin friction model and the pile end resistance parameters of the pile end resistance model are updated to obtain the updated pile stress model. Specifically, based on the displacement w1 of the first pile and the settlement data S of each soil layer... i To determine the relative displacement between the pile and the soil in each soil layer, that is, based on ΔS i =wS i Replace w with w1 and substitute it into the formula to determine the relative displacement between the pile and the soil in each soil layer, where w is the pile displacement; S i Here is the settlement data for the i-th soil layer; ΔS i Let be the pile-soil relative displacement of the i-th soil layer. For each soil layer, if the pile-soil relative displacement is greater than or equal to a relative displacement threshold, the side resistance parameters of the soil layer in the pile stress model are updated to obtain the updated side resistance parameters of the soil layer, which is ΔS. i ≥S ui At that time, in the pile stress model, k i (wS i Replace ) with k i S ui , among which, S ui is the relative displacement threshold of the i-th soil layer. Figure 4b This is a schematic diagram showing the relationship between the relative displacement of the pile and the soil and the side friction resistance in a certain soil layer. Figure 4b The side resistance parameters of this soil layer can be determined by consulting relevant specifications, survey data, and literature to obtain the relationship curve between the pile-soil relative displacement and the side friction resistance. When the first pile displacement is less than the pile displacement threshold, the pile end resistance parameters in the pile stress model are updated to the first pile end resistance parameters, resulting in the updated pile end resistance parameters; that is, w1. b At that time, in the pile stress model, k b w is replaced with k b1 w, where S b This represents the pile displacement threshold. When the first pile displacement is greater than or equal to the pile displacement threshold, the pile end resistance parameters in the pile stress model are updated to the second pile end resistance parameters, resulting in the updated pile end resistance parameters; that is, w1 ≥ S. b At that time, in the pile stress model, k b w is replaced with k b2 w, where S b This is the threshold value for pile displacement. Figure 4c This is a schematic diagram showing the relationship between pile end resistance and pile displacement. Figure 4c The first and second pile end resistance parameters can be determined by referring to relevant specifications, survey data and literature to obtain the relationship curve between pile end resistance and pile displacement. ​

[0102] The pile top load and settlement data of each soil layer are input into the updated pile stress model to obtain the second pile displacement w2.

[0103] If the error between the first pile displacement and the second pile displacement meets the accuracy requirements, the second pile displacement shall be taken as the pile displacement of the rigid pile.

[0104] If the error between the first pile displacement and the second pile displacement does not meet the accuracy requirements, the second pile displacement is updated to the first pile displacement, and the process returns to the step of updating the side resistance parameters of the side friction model and the pile end resistance parameters of the pile end resistance model based on the first pile displacement and the settlement data of each soil layer, to obtain the updated pile stress model.

[0105] Based on the pile displacement and the settlement data of each soil layer, the soil layer where the neutral point is located is determined.

[0106] Specifically, the pile displacement is compared with the settlement data of each soil layer. If the settlement data of the soil layer is the same as the pile displacement, the soil layer corresponding to the settlement data is determined as the soil layer where the neutral point is located.

[0107] The sum of the side friction resistance of at least one soil layer above the neutral point is taken as the negative skin friction resistance of the rigid pile.

[0108] Specifically, the side friction of at least one soil layer above the neutral point is calculated using soil settlement data and pile displacement. The sum of the side frictions of at least one soil layer above the neutral point is taken as the negative skin friction of the rigid pile.

[0109] The technical solution of this invention obtains measured surface settlement data of the soil layer around the rigid pile and pile top load through actual measurement. The measured surface settlement data of the soil layer around the pile is used to adjust the calculation data of the soft soil consolidation model. The adjusted target calculation data is input into the soft soil consolidation model to obtain settlement data of at least one soil layer. Thus, the negative skin friction of the rigid pile is determined by combining the pile top load. By combining the measured data with the model, the accuracy of negative skin friction assessment is increased. At the same time, the measured surface settlement data of the soil layer around the pile and pile top load are obtained, reducing the data acquisition time and improving the efficiency of negative skin friction assessment.

[0110] Example 5

[0111] Figure 5 This is a structural schematic diagram of a rigid pile negative skin friction assessment device provided in Embodiment 5 of the present invention. Figure 5As shown, the device includes: a data acquisition module 501, a target data acquisition module 502, a settlement data acquisition module 503, and a negative skin friction determination module 504.

[0112] The data acquisition module 501 is used to acquire measured surface settlement data of the soil layer around the rigid pile and the pile top load.

[0113] The target data acquisition module 502 is used to adjust the calculation data of the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data.

[0114] The settlement data acquisition module 503 is used to input the target calculation data into the soft soil consolidation model to obtain settlement data of at least one soil layer.

[0115] The negative skin friction determination module 504 is used to determine the negative skin friction of the rigid pile based on the pile top load and the settlement data of each soil layer.

[0116] The technical solution of this invention obtains measured surface settlement data of the soil layer around the rigid pile and pile top load through actual measurement. The measured surface settlement data of the soil layer around the pile is used to adjust the calculation data of the soft soil consolidation model. The adjusted target calculation data is input into the soft soil consolidation model to obtain settlement data of at least one soil layer. Thus, the negative skin friction of the rigid pile is determined by combining the pile top load. By combining the measured data with the model, the accuracy of negative skin friction assessment is increased. At the same time, the measured surface settlement data of the soil layer around the pile and pile top load are obtained, reducing the data acquisition time and improving the efficiency of negative skin friction assessment.

[0117] Optionally, the calculation data for the soft soil consolidation model includes the consolidation coefficient and the permeability coefficient.

[0118] Optionally, the target data acquisition module 502 includes:

[0119] The intermediate data acquisition unit is used to perform inversion analysis on the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile, update the calculation data of the soft soil consolidation model, and obtain intermediate calculation data.

[0120] The prediction data acquisition unit is used to input the intermediate calculation data into the soft soil consolidation model to obtain the predicted surface settlement data in the output data.

[0121] The target data determination unit is used to determine the intermediate calculation data as the target calculation data when the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is less than or equal to the error threshold.

[0122] The return unit is used to determine the intermediate calculation data as the calculation data of the soft soil consolidation model when the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is greater than the error threshold. The unit then returns to the step of performing an inversion analysis on the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile, updating the calculation data of the soft soil consolidation model, and obtaining the intermediate calculation data.

[0123] Optionally, the predictive data acquisition unit includes:

[0124] The prediction data acquisition subunit inputs the intermediate calculation data into the soft soil consolidation model to obtain the predicted settlement data of at least one soil layer.

[0125] The predicted surface data acquisition subunit is used to extract predicted surface settlement data from the predicted settlement data of each soil layer.

[0126] Optionally, the negative friction resistance determination module 504 includes:

[0127] The pile displacement determination unit is used to input the pile top load and the settlement data of each soil layer into the pile stress model to determine the pile displacement of the rigid pile.

[0128] The neutral point determination unit is used to determine the soil layer where the neutral point is located based on the pile displacement and the settlement data of each soil layer.

[0129] The negative skin friction determination unit is used to take the sum of the side skin friction of at least one soil layer above the neutral point as the negative skin friction of the rigid pile.

[0130] Optionally, the pile displacement determination unit includes:

[0131] The first displacement determination subunit is used to input the pile top load and the settlement data of each soil layer into the pile body force model to obtain the first pile body displacement of the rigid pile. The pile body force model includes a side friction model and a pile end resistance model.

[0132] The parameter update subunit is used to update the side resistance parameters of the side friction model and the pile end resistance parameters of the pile end resistance model based on the first pile displacement and the settlement data of each soil layer, so as to obtain the updated pile stress model.

[0133] The second displacement determination subunit is used to input the pile top load and the settlement data of each soil layer into the updated pile body stress model to obtain the second pile body displacement.

[0134] The pile displacement determination subunit is used to determine the second pile displacement as the pile displacement of the rigid pile, provided that the error between the first pile displacement and the second pile displacement meets the accuracy requirements.

[0135] The return subunit is used to update the second pile displacement to the first pile displacement when the error between the first pile displacement and the second pile displacement does not meet the accuracy requirements, and then return to execute the step of updating the side resistance parameters of the side friction resistance model and the pile end resistance parameters of the pile end resistance model according to the first pile displacement and the settlement data of each soil layer to obtain the updated pile stress model.

[0136] Optionally, the parameter update subunit includes:

[0137] Based on the displacement of the first pile body and the settlement data of each soil layer, the relative displacement of the pile and soil in each soil layer is determined.

[0138] For each soil layer, if the relative displacement between the pile and the soil in the soil layer is greater than or equal to the relative displacement threshold, the side resistance parameters of the soil layer in the pile force model are updated to obtain the updated side resistance parameters of the soil layer.

[0139] When the first pile displacement is less than the pile displacement threshold, the pile end resistance parameter in the pile force model is updated to the first pile end resistance parameter to obtain the updated pile end resistance parameter.

[0140] When the first pile displacement is greater than or equal to the pile displacement threshold, the pile end resistance parameter in the pile force model is updated to the second pile end resistance parameter to obtain the updated pile end resistance parameter; wherein, the first pile end resistance parameter and the second pile end resistance parameter are determined according to the relationship curve between pile end resistance and pile displacement.

[0141] The rigid pile negative skin friction assessment device provided in the embodiments of the present invention can execute the rigid pile negative skin friction assessment method provided in any embodiment of the present invention, and has the corresponding functional modules and beneficial effects of the method.

[0142] Example 6

[0143] Figure 6A schematic diagram of an electronic device 10 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0144] like Figure 6 As shown, the electronic device 10 includes at least one processor 11 and a memory, such as a read-only memory (ROM) 12 or a random access memory (RAM) 13, communicatively connected to the at least one processor 11. The memory stores computer programs executable by the at least one processor. The processor 11 can perform various appropriate actions and processes based on the computer program stored in the ROM 12 or loaded from storage unit 18 into the RAM 13. The RAM 13 may also store various programs and data required for the operation of the electronic device 10. The processor 11, ROM 12, and RAM 13 are interconnected via a bus 14. An input / output (I / O) interface 15 is also connected to the bus 14.

[0145] Multiple components in electronic device 10 are connected to I / O interface 15, including: input unit 16, such as keyboard, mouse, etc.; output unit 17, such as various types of displays, speakers, etc.; storage unit 18, such as disk, optical disk, etc.; and communication unit 19, such as network card, modem, wireless transceiver, etc. Communication unit 19 allows electronic device 10 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0146] Processor 11 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, digital signal processors (DSPs), and any suitable processor, controller, microcontroller, etc. Processor 11 performs the various methods and processes described above, such as the method for evaluating the negative skin friction of rigid piles.

[0147] In some embodiments, the rigid pile negative skin friction assessment method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 10 via ROM 12 and / or communication unit 19. When the computer program is loaded into RAM 13 and executed by processor 11, one or more steps of the rigid pile negative skin friction assessment method described above may be performed. Alternatively, in other embodiments, processor 11 may be configured to perform the rigid pile negative skin friction assessment method by any other suitable means (e.g., by means of firmware).

[0148] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transmitting data and instructions to the storage system, the at least one input device, and the at least one output device.

[0149] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0150] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0151] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0152] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0153] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact through communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0154] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0155] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A method for evaluating the negative skin friction of rigid piles, characterized in that, include: Obtain measured data on the surface settlement of the soil around the rigid pile and the load at the top of the pile; The calculation data of the soft soil consolidation model are adjusted based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data; The target calculation data is input into the soft soil consolidation model to obtain settlement data for at least one soil layer; The negative skin friction of the rigid pile is determined based on the pile top load and the settlement data of each soil layer; The step of adjusting the calculation data of the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data includes: The soft soil consolidation model is inverted and analyzed based on the measured surface settlement data of the soil layer around the pile, and the calculation data of the soft soil consolidation model is updated to obtain intermediate calculation data. The intermediate calculation data is input into the soft soil consolidation model to obtain the predicted surface settlement data in the output data; If the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is less than or equal to the error threshold, the intermediate calculation data shall be determined as the target calculation data. If the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is greater than the error threshold, the intermediate calculation data is determined as the calculation data of the soft soil consolidation model. The process then returns to the step of performing an inversion analysis on the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile, updating the calculation data of the soft soil consolidation model, and obtaining the intermediate calculation data.

2. The method according to claim 1, characterized in that, The calculation data for the soft soil consolidation model include the consolidation coefficient and the permeability coefficient.

3. The method according to claim 1, characterized in that, The step of inputting the intermediate calculation data into the soft soil consolidation model to obtain the predicted surface settlement data in the output data includes: The intermediate calculation data is input into the soft soil consolidation model to obtain the predicted settlement data of at least one soil layer; Predicted surface settlement data are extracted from the predicted settlement data of each soil layer.

4. The method according to claim 1, characterized in that, The determination of the negative skin friction of the rigid pile based on the pile top load and the settlement data of each soil layer includes: The pile top load and the settlement data of each soil layer are input into the pile body stress model to determine the pile body displacement of the rigid pile; The soil layer where the neutral point is located is determined based on the pile displacement and the settlement data of each soil layer. The sum of the side friction resistance of at least one soil layer above the neutral point is taken as the negative skin friction resistance of the rigid pile.

5. The method according to claim 4, characterized in that, The step of inputting the pile top load and the settlement data of each soil layer into the pile body stress model to determine the pile body displacement of the rigid pile includes: The pile top load and the settlement data of each soil layer are input into the pile body stress model to obtain the first pile body displacement of the rigid pile. The pile body stress model includes a side skin friction model and a pile end resistance model. Based on the displacement of the first pile body and the settlement data of each soil layer, the side resistance parameters of the side friction resistance model and the pile end resistance parameters of the pile end resistance model are updated to obtain the updated pile body stress model. The pile top load and the settlement data of each soil layer are input into the updated pile body stress model to obtain the second pile body displacement; If the error between the first pile displacement and the second pile displacement meets the accuracy requirements, the second pile displacement shall be taken as the pile displacement of the rigid pile. If the error between the first pile displacement and the second pile displacement does not meet the accuracy requirements, the second pile displacement is updated to the first pile displacement, and the process returns to the step of updating the side resistance parameters of the side friction model and the pile end resistance parameters of the pile end resistance model based on the first pile displacement and the settlement data of each soil layer to obtain the updated pile stress model.

6. The method according to claim 5, characterized in that, The step of updating the side resistance parameters of the side friction model and the pile end resistance parameters of the pile end resistance model based on the displacement of the first pile body and the settlement data of each soil layer includes: Based on the displacement of the first pile body and the settlement data of each soil layer, the relative displacement of the pile and soil in each soil layer is determined. For each soil layer, if the relative displacement between the pile and the soil in the soil layer is greater than or equal to the relative displacement threshold, the side resistance parameters of the soil layer in the pile force model are updated to obtain the updated side resistance parameters of the soil layer. When the first pile displacement is less than the pile displacement threshold, the pile end resistance parameter in the pile force model is updated to the first pile end resistance parameter to obtain the updated pile end resistance parameter. When the first pile displacement is greater than or equal to the pile displacement threshold, the pile end resistance parameter in the pile force model is updated to the second pile end resistance parameter to obtain the updated pile end resistance parameter; wherein, the first pile end resistance parameter and the second pile end resistance parameter are determined according to the relationship curve between pile end resistance and pile displacement.

7. A device for evaluating the negative skin friction of rigid piles, characterized in that, include: The data acquisition module is used to acquire measured surface settlement data of the soil layer around the rigid pile and the pile top load. The target data acquisition module is used to adjust the calculation data of the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile to obtain the target calculation data. The settlement data acquisition module is used to input the target calculation data into the soft soil consolidation model to obtain settlement data of at least one soil layer; The negative skin friction determination module is used to determine the negative skin friction of the rigid pile based on the pile top load and the settlement data of each soil layer. The target data acquisition module includes: The intermediate data acquisition unit is used to perform inversion analysis on the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile, update the calculation data of the soft soil consolidation model, and obtain intermediate calculation data. The prediction data acquisition unit is used to input the intermediate calculation data into the soft soil consolidation model to obtain the predicted surface settlement data in the output data. The target data determination unit is used to determine the intermediate calculation data as the target calculation data when the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is less than or equal to the error threshold. The return unit is used to determine the intermediate calculation data as the calculation data of the soft soil consolidation model when the error between the measured surface settlement data of the soil layer around the pile and the predicted surface settlement data is greater than the error threshold. The unit then returns to the step of performing an inversion analysis on the soft soil consolidation model based on the measured surface settlement data of the soil layer around the pile, updating the calculation data of the soft soil consolidation model, and obtaining the intermediate calculation data.

8. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the rigid pile negative skin friction assessment method according to any one of claims 1-6.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the rigid pile negative skin friction assessment method according to any one of claims 1-6.

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