Composite pipe winding parameter integrated design method based on proxy model and multi-objective optimization

By adopting a design method based on surrogate models and multi-objective optimization, the problems of low computational efficiency and multi-objective conflict in the design of composite pipe winding parameters are solved, achieving efficient and scientific winding parameter optimization and providing excellent design solutions among multiple performance parameters.

CN122133458APending Publication Date: 2026-06-02SHAANXI UNIV OF SCI & TECH
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Patent Information

Application Number
CN202610175141.X
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2026-02-06
Publication Date
2026-06-02

AI Technical Summary

Technical Problem

Existing technologies suffer from low computational efficiency, difficulty in handling multi-objective conflicts, and lack of objective decision support in the design of composite material pipe winding parameters, resulting in long design cycles and unreasonable solutions.

Method used

A design method based on surrogate model and multi-objective optimization is adopted. Through parametric finite element modeling, Kriging surrogate model and NSGA-II algorithm, combined with entropy weight-TOPSIS decision, automated winding parameter optimization is achieved.

Benefits of technology

It significantly improves design efficiency, shortens the cycle to hours, provides high-precision and reliable multi-objective optimization solutions, eliminates human subjective factors, and ensures the scientific nature and reliability of the solution.

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Abstract

The invention belongs to the technical field of composite material structure optimization design, and discloses a composite material pipe winding parameter integrated design method based on an agent model and multi-objective optimization, which comprises the following steps: firstly, realizing rapid mapping from design variables to performance response through parametric modeling and finite element simulation automation; secondly, generating a sample based on optimal Latin hypercube sampling, and constructing a high-precision Kriging agent model to replace time-consuming high-fidelity simulation; thirdly, the proxy model is used as an evaluation tool, an NSGA-II multi-target genetic algorithm is adopted to carry out optimization solution, and a series of Pareto optimal solution sets which achieve the optimal balance among a plurality of performance targets are obtained; and finally, an entropy weight method is utilized to objectively calculate the weight of each performance index, a TOPSIS method is combined to perform comprehensive decision on a Pareto solution set, and a final optimal parameter combination is selected, so that efficient, high-precision and automatic multi-objective optimization design of the composite material pipe winding parameters is realized, and the comprehensive optimality and decision objectivity of a design scheme are ensured.
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