CN-121997442-A - Intelligent prediction method and system for pulling-resistant bearing capacity of tubular pile of power transmission engineering

CN121997442ACN 121997442 ACN121997442 ACN 121997442ACN-121997442-A

Abstract

The invention relates to the technical field of geotechnical engineering, and particularly discloses an intelligent prediction method and system for the pulling-resistant bearing capacity of a tubular pile of a power transmission project, wherein the method comprises the steps of determining the ultimate pulling-resistant bearing capacity of each tubular pile in a preset sample area; the method comprises the steps of obtaining real-time load and pile head displacement of each pipe pile in an operation stage, fitting out load response, determining a coefficient distribution map according to the ultimate anti-pulling bearing capacity of each pipe pile and the load response thereof, receiving a to-be-installed area input by a user, matching the coefficient distribution map in a dynamic database, and predicting the ultimate anti-pulling bearing capacity based on the coefficient distribution map and pipe pile installation information.

Inventors

YANG SHAN
CHEN XIANFENG
ZHOU XINYUE
XIA YANFENG
ZHANG YOU
JIN SHANSHAN
SUN BOYANG
DING HAOLEI
SHEN ZHIPENG
SHEN ZHAOYU
PAN MENGYUAN

Assignees

国网上海市电力公司

Dates

Publication Date: 20260508
Application Date: 20260410

Claims (10)

1. An intelligent prediction method for the pulling-resistant bearing capacity of a tubular pile of a power transmission project is characterized by comprising the following steps: obtaining pipe pile installation information of each pipe pile in a preset sample area, and determining the ultimate pulling-resistant bearing capacity of each pipe pile according to the pipe pile installation information, wherein the pipe pile installation information is used for representing the self state and the environmental state of the pipe pile; Acquiring real-time load and pile head displacement of each pipe pile in an operation stage, constructing a sample set from the real-time load to the pile head displacement, and fitting out load response quantity based on the sample set, wherein the load response quantity is used for representing the response of the pipe pile to the load; Determining a coefficient distribution map according to the ultimate pulling resistance bearing capacity and the load response quantity of each tubular pile, wherein the coefficient distribution map is used for representing the dynamic influence condition of each position in the region; acquiring area information of a sample area, and counting the area information and a coefficient distribution map thereof to obtain a dynamic database; and receiving an area to be installed input by a user, matching a coefficient distribution map in a dynamic database, and predicting the ultimate pulling-resistant bearing capacity based on the coefficient distribution map and the tubular pile installation information.
2. The intelligent prediction method for the pulling-resistant bearing capacity of the power transmission engineering pipe pile according to claim 1, wherein the step of determining the coefficient distribution map according to the ultimate pulling-resistant bearing capacity of each pipe pile and the load response quantity thereof comprises the following steps: Acquiring an area map of a sample area; Inserting grids into the regional map based on a preset step length, and generating a matrix template based on the grids, wherein the step length is used for adjusting the side length of the grid unit; Determining mapping positions corresponding to all the tubular piles in an area map containing grids, and inquiring grid nodes closest to the mapping positions to serve as grid nodes corresponding to the tubular piles; obtaining a first matrix based on the matrix template statistical limit pulling-resistant bearing capacity and obtaining a second matrix based on the matrix template statistical load response, wherein row and column positions in the matrix are in one-to-one correspondence with grid nodes, elements of the matrix adopt the data of tubular piles corresponding to the grid nodes, and when the corresponding positions do not have tubular piles, default null data are adopted; normalizing the first matrix and the second matrix to obtain a first normalization matrix and a second normalization matrix, wherein the normalization process adopts the most value normalization process; Taking the second regular matrix as a numerator, taking the first regular matrix as a denominator, calculating to obtain a ratio matrix, and performing coefficient conversion on each element according to the average value in the ratio matrix to obtain a coefficient matrix; and extending the coefficient matrix to determine a coefficient distribution map, wherein the extending process is to query the nearest known data for the null data and replace the null data.
3. The intelligent prediction method for the pulling-resistant bearing capacity of the power transmission engineering tubular pile according to claim 1, wherein the step of obtaining the region information of the sample region, the statistical region information and the coefficient distribution map thereof and obtaining the dynamic database comprises the following steps: The method comprises the steps of obtaining area information of a sample area, wherein the area information is used for representing geographic information of the area, and specifically is a tag set; Counting the regional information and the coefficient distribution map thereof, taking the regional information as an information item, taking the coefficient distribution map as a map item, and constructing a database; And generating an updating instruction regularly to update each data item in the database.
4. The intelligent prediction method for the pulling-resistant bearing capacity of the power transmission engineering pipe pile according to claim 1, wherein the step of receiving the user input to-be-installed area, matching a coefficient distribution map in a dynamic database, and predicting the ultimate pulling-resistant bearing capacity based on the coefficient distribution map and the pipe pile installation information comprises the following steps: Receiving an area to be installed input by a user, and acquiring area information of the area to be installed; Traversing information items of the dynamic database based on the region information, and matching to obtain a coefficient distribution map; Inquiring pipe pile installation information of each pipe pile in an area to be installed, and determining the ultimate pulling-resistant bearing capacity of each pipe pile according to the pipe pile installation information; and inquiring the coefficients corresponding to the tubular piles in a coefficient distribution map, and correcting the predicted ultimate pulling-resistant bearing capacity according to the coefficients.
5. The intelligent prediction method for the pull-out resistance of the power transmission engineering pipe pile according to any one of claims 1 to 4, wherein the process of determining the ultimate pull-out resistance of each pipe pile according to the pipe pile installation information comprises the following steps: Calculating and obtaining a geometric coefficient based on the soil penetration depth, the pile diameter and the length-diameter ratio of the pile body; calculating and obtaining a soil coefficient based on the average standard number of the impacts, the internal friction angle of the soil body and the buried depth of the underground water level; Calculating and obtaining a bearing capacity synthesis coefficient based on the geometric coefficient and the soil coefficient; Calculating and obtaining environmental coefficients based on the load cycle times and the soil saturation; Calculating and obtaining a correction coefficient based on pile body roughness and an environmental coefficient; And calculating and obtaining the predicted tubular pile pulling-resistant bearing capacity based on the reference bearing capacity, the bearing capacity synthesis coefficient and the correction coefficient.
6. The intelligent prediction method for the pulling-resistant bearing capacity of the power transmission engineering pipe pile according to claim 5, wherein the process of obtaining the pulling-resistant bearing capacity of the predicted pipe pile by calculation is as follows: obtaining a reference bearing capacity, a bearing capacity synthesis coefficient and a correction coefficient; Based on the reference bearing capacity, the bearing capacity synthesis coefficient and the correction coefficient, the predicted pipe pile pulling-resistant bearing capacity is obtained through combination operation, and the predicted pipe pile pulling-resistant bearing capacity is in direct proportion to the reference bearing capacity, the bearing capacity synthesis coefficient and the correction coefficient.
7. An intelligent prediction system for the pulling-resistant bearing capacity of a tubular pile of a power transmission project, which is characterized by comprising: the sample bearing analysis module is used for acquiring pipe pile installation information of each pipe pile in a preset sample area, and determining the ultimate pulling-resistant bearing capacity of each pipe pile according to the pipe pile installation information, wherein the pipe pile installation information is used for representing the self state and the environmental state of the pipe pile; the sample response analysis module is used for acquiring real-time load and pile head displacement of each pipe pile in the operation stage, constructing a sample set from the real-time load to the pile head displacement, and fitting out load response quantity based on the sample set, wherein the load response quantity is used for representing the response of the pipe pile to the load; The coefficient identification output module is used for determining a coefficient distribution map according to the ultimate pulling-resistant bearing capacity of each tubular pile and the load response quantity of each tubular pile; The data statistics module is used for acquiring the region information of the sample region, and counting the region information and a coefficient distribution map thereof to obtain a dynamic database; And the bearing capacity matching module is used for receiving the region to be installed input by a user, matching the coefficient distribution map in the dynamic database, and predicting the ultimate pulling-resistant bearing capacity based on the coefficient distribution map and the tubular pile installation information.
8. The intelligent prediction system for the pulling-resistant bearing capacity of the power transmission engineering pipe pile according to claim 7, wherein the coefficient identification output module comprises: A map acquisition unit configured to acquire an area map of a sample area; The template generation unit is used for inserting grids into the regional map based on a preset step length and generating a matrix template based on the grids, wherein the step length is used for adjusting the side length of the grid unit; the node inquiring unit is used for determining mapping positions corresponding to all the tubular piles in the regional map containing the grids, and inquiring grid nodes closest to the mapping positions as grid nodes corresponding to the tubular piles; The data statistics unit is used for counting the ultimate pulling-resistant bearing capacity based on the matrix template to obtain a first matrix and counting the load response quantity based on the matrix template to obtain a second matrix, wherein row and column positions in the matrix are in one-to-one correspondence with grid nodes, elements of the matrix adopt the data of the tubular piles corresponding to the grid nodes, and when the corresponding positions do not have the tubular piles, default null data are adopted; The data normalization unit is used for carrying out normalization processing on the first matrix and the second matrix to obtain a first normalization matrix and a second normalization matrix, wherein the normalization processing adopts the maximum normalization processing process; the coefficient matrix generation unit is used for taking the second regular matrix as a molecule, taking the first regular matrix as a denominator, calculating to obtain a ratio matrix, and carrying out coefficient conversion on each element according to the average value in the ratio matrix to obtain a coefficient matrix; and the coefficient matrix extension unit is used for extending the coefficient matrix to determine a coefficient distribution map, wherein the extension process is to inquire the nearest known data of the null data and replace the null data.
9. The intelligent prediction system for the pulling-resistant bearing capacity of the power transmission engineering pipe pile according to claim 7, wherein the data statistics module comprises: The system comprises a region information acquisition unit, a label set acquisition unit and a control unit, wherein the region information acquisition unit is used for acquiring region information of a sample region, and the region information is used for representing geographic information of the region, in particular a label set; The database construction unit is used for counting the regional information and the coefficient distribution map thereof, taking the regional information as an information item, taking the coefficient distribution map as a map item, and constructing a database; And the timing updating unit is used for generating an updating instruction at fixed time and updating each data item in the database.
10. The intelligent prediction system for the pulling-resistant bearing capacity of the power transmission engineering pipe pile according to claim 7, wherein the bearing capacity matching module comprises: the data receiving unit is used for receiving the region to be installed input by a user and acquiring the region information of the region to be installed; The traversal matching unit is used for traversing the information items of the dynamic database based on the region information and matching to obtain a coefficient distribution map; The prediction execution unit is used for inquiring the pipe pile installation information of each pipe pile in the area to be installed and determining the ultimate pulling-resistant bearing capacity of each pipe pile according to the pipe pile installation information; And the coefficient application unit is used for inquiring the coefficients corresponding to the tubular piles in the coefficient distribution map, and correcting the predicted ultimate pulling-resistant bearing capacity according to the coefficients.

Description

Intelligent prediction method and system for pulling-resistant bearing capacity of tubular pile of power transmission engineering Technical Field The invention relates to the technical field of geotechnical engineering, in particular to an intelligent prediction method and system for the pulling-resistant bearing capacity of a tubular pile of a power transmission project. Background In the power transmission engineering, the tubular pile is used as a main stress member of the tower foundation of the high-voltage power transmission line, and the anti-pulling bearing capacity of the tubular pile directly relates to the structural safety and the operation stability of the tower foundation under the wind load, the ice coating load and the long-term cyclic action. Because the transmission line generally spans a complex geological region, the pile foundation is obviously influenced by soil conditions, groundwater changes and environmental loads, and therefore, the method has important engineering significance in accurately evaluating the anti-pulling bearing capacity. In actual engineering, the pulling resistance of the tubular pile is influenced by the coupling action of various factors, so that the pulling resistance bearing capacity presents obvious nonlinear and regional difference characteristics, the traditional single factor or simplified assumption method is difficult to comprehensively reflect the actual stress state of the tubular pile, the precision is very low, in order to improve the precision, a few pure theory analysis methods based on finite element analysis appear in the prior art, the method greatly improves the prediction precision, consumed computing resources are also bearable for construction parties, but the method cannot be combined with the actual environment, the precision is difficult to reach very high level, in other words, the precision obtained based on a large amount of computing resources is difficult to meet the prediction precision, and the cost performance of the scheme is very low. Disclosure of Invention The invention aims to provide an intelligent prediction method and system for the pulling-resistant bearing capacity of a tubular pile in a power transmission project, which are used for solving the problems in the background technology. In order to achieve the above purpose, the present invention provides the following technical solutions: an intelligent prediction method for the pulling-resistant bearing capacity of a tubular pile of a power transmission project, comprising the following steps: obtaining pipe pile installation information of each pipe pile in a preset sample area, and determining the ultimate pulling-resistant bearing capacity of each pipe pile according to the pipe pile installation information, wherein the pipe pile installation information is used for representing the self state and the environmental state of the pipe pile; Acquiring real-time load and pile head displacement of each pipe pile in an operation stage, constructing a sample set from the real-time load to the pile head displacement, and fitting out load response quantity based on the sample set, wherein the load response quantity is used for representing the response of the pipe pile to the load; Determining a coefficient distribution map according to the ultimate pulling resistance bearing capacity and the load response quantity of each tubular pile, wherein the coefficient distribution map is used for representing the dynamic influence condition of each position in the region; acquiring area information of a sample area, and counting the area information and a coefficient distribution map thereof to obtain a dynamic database; and receiving an area to be installed input by a user, matching a coefficient distribution map in a dynamic database, and predicting the ultimate pulling-resistant bearing capacity based on the coefficient distribution map and the tubular pile installation information. The invention further provides a method for determining a coefficient distribution map according to the ultimate pulling-resistant bearing capacity of each tubular pile and the load response quantity of each tubular pile, comprising the following steps: Acquiring an area map of a sample area; Inserting grids into the regional map based on a preset step length, and generating a matrix template based on the grids, wherein the step length is used for adjusting the side length of the grid unit; Determining mapping positions corresponding to all the tubular piles in an area map containing grids, and inquiring grid nodes closest to the mapping positions to serve as grid nodes corresponding to the tubular piles; obtaining a first matrix based on the matrix template statistical limit pulling-resistant bearing capacity and obtaining a second matrix based on the matrix template statistical load response, wherein row and column positions in the matrix are in one-to-one correspondence with grid nodes, elements of th