航天器环境工程2024，Vol.41Issue(4)：439-444,6.DOI:10.12126/see.2023172
基于BP神经网络构建简化翼结构动态代理模型
Construction of dynamic surrogate model of simplified wing structure based on BP neural network
摘要
Abstract
Establishing an accurate and reliable surrogate model is one of the key links in digital twin technology.In order to study the method for constructing the dynamic surrogate model in space structural dynamics,a simplified wing structure was selected as the research object.The displacement and acceleration responses of the structure under transient dynamic analysis were obtained by single point sinusoidal constant frequency excitation and full field acceleration sweep frequency excitation,respectively.Taking the time and the response results of some nodes as inputs,and the response values at the concerned nodes as outputs,back propagation(BP)neural network was used to build a dynamic surrogate model.The dynamic surrogate model of the wing structure under transient dynamics was deemed to have been constructed after the established model's accuracy met the requirement.The model constructed by this method can not only be used to quickly predict the displacement and acceleration responses of multiple nodes,but also lay a foundation for the subsequent construction for dynamic digital twins of space complex structures.关键词
数字孪生体/结构动力学/动态代理模型/BP神经网络/瞬态动力学Key words
digital twin/structural dynamics/dynamic surrogate model/BP neural network/transient dynamics分类
数理科学引用本文复制引用
胡金龙,李海波,崔高伟,孔凡金..基于BP神经网络构建简化翼结构动态代理模型[J].航天器环境工程,2024,41(4):439-444,6.基金项目
国家自然科学基金项目(编号:52305565) （编号:52305565）
