航天器环境工程2026，Vol.43Issue(3)：202-208,7.DOI:10.12126/see.2026010
基于贝叶斯优化的柔性碳纤维反射面卷绕构型预测方法
Prediction of coiled configuration for flexible carbon fiber reflectors based on Bayesian optimization
摘要
Abstract
The coiled configuration of flexible reflector antennas is difficult to predict due to the geometrically nonlinear large deformations that occur during coiling stowage.To address this challenge,a self-consistent solution method based on Bayesian optimization was proposed in this study.First,based on the Euler-Bernoulli beam theory,the mechanical equilibrium differential equations governing the spiral coiling of a single-petal reflector were established,characterizing the relationship between the applied loads and the stowed configuration.Then,to resolve the complex implicit relationships between the boundary parameters and the coiled configuration in this high-order boundary-value problem,Bayesian optimization was introduced to construct a self-consistent framework,in which a Gaussian process surrogate model was employed to efficiently identify the boundary parameters that satisfy the geometric continuity constraints.Finally,the proposed method was validated through finite element simulations.The results show that the relative deviation of the coiling radius between theoretical predictions and simulation results is within 1.5%,demonstrating the effectiveness of the proposed method in coiled configuration prediction and stress state analysis.The proposed method provides theoretical support for the structural design and stowage analysis of flexible reflectors.关键词
柔性反射面/卷绕收纳/贝叶斯优化/构型预测/自洽求解Key words
flexible reflector/coiling-stowage/Bayesian optimization/configuration prediction/self-consistent solution分类
航空航天引用本文复制引用
王力文,刘昊,杨留义,刘越东,史永康..基于贝叶斯优化的柔性碳纤维反射面卷绕构型预测方法[J].航天器环境工程,2026,43(3):202-208,7.基金项目
中国航天科技集团有限公司青年拔尖人才项目(编号:0010012516) （编号:0010012516）
