Optimization design method and system of variable cross-section group pile

By acquiring load data and optimizing the design parameters of variable cross-section pile groups in combination with pile geometry and load transfer characteristics, the problem that simulation stress analysis cannot accurately reflect actual stress is solved, and the design parameters are precisely optimized and their reliability is improved.

CN122154355APending Publication Date: 2026-06-05LISHUI POWER SUPPLY COMPANY OF STATE GRID ZHEJIANG ELECTRIC POWER
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
LISHUI POWER SUPPLY COMPANY OF STATE GRID ZHEJIANG ELECTRIC POWER
Filing Date
2026-05-08
Publication Date
2026-06-05

AI Technical Summary

Technical Problem

In existing technologies, when optimizing the design parameters of variable cross-section pile groups for transmission towers based on simulation stress analysis results, the actual stress conditions cannot be accurately reflected, resulting in a lack of effective guidance for design parameter optimization.

Method used

By acquiring load data of sample variable cross-section pile groups, and based on the pile geometry and load transfer characteristics of the transmission tower, the initial parameter load data segment is optimized, load influence parameters are screened, load mapping relationships are established, and load prediction is performed using an artificial intelligence model to optimize the target design parameters.

Benefits of technology

This improves the reliability and accuracy of design parameters, enhances the matching degree and engineering applicability of variable cross-section pile group design parameters, and ensures that design parameters are more closely matched with actual bearing stress.

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Abstract

The application discloses a variable cross-section group pile optimization design method and system, which is applied to the technical field of variable cross-section group piles and comprises the following steps: obtaining load data of each distribution position of a sample variable cross-section group pile; determining each parameter load data section; obtaining a load influence parameter set; obtaining a load mapping relationship based on the load influence parameter set and the load data; obtaining initial load prediction data based on the load mapping relationship and a to-be-optimized parameter data set of a target variable cross-section group pile; analyzing the to-be-optimized parameter data set and the load data, processing the initial load prediction data according to an analysis result, and obtaining a load prediction condition; and optimizing the to-be-optimized parameter data set based on the load prediction condition, and obtaining a target design parameter set of the target variable cross-section group pile. The variable cross-section group pile optimization design method and system can accurately optimize design parameters and improve the reliability of the design parameters.
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