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.
Patent Information
- Application Number
- CN202610622587.2
- Authority / Receiving Office
- CN · China
- Patent Type
- Applications(China)
- Current Assignee / Owner
- Filing Date
- 2026-05-08
- Publication Date
- 2026-06-05
AI Technical Summary
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.
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.
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
Citation Information
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