摘要
根据结构损伤后的动力特性 (包括频率和振型 )实测数据 ,提出了基于混合优化策略的结构损伤识别方法 .所建立的混合优化策略将收敛速度快的局部优化搜索方法与具有全局搜索能力的人工神经网络方法相结合 ,解决了局部优化搜索方法的局部极值问题和全局优化搜索方法收敛速度慢的问题 .
Based on hybrid optimization strategy, the parameter identification algorithm was presented according to the measured data on vibrating frequency and mode shapes in the damaged structure. The proposed algorithm combines the local optimum method which has fast convergence ability, with the neural networks which have global optimum ability. By doing this, the local minimization problem from the local optimum method can be solved, and the convergence speed from the global optimum method can be improved. The research has a practical significance for the solution of non-uniqueness and instability of inverse problem.
出处
《中国矿业大学学报》
EI
CAS
CSCD
北大核心
2002年第1期39-43,共5页
Journal of China University of Mining & Technology
基金
国家自然科学基金资助项目 (10 0 710 14 )
工业装备结构分析国家重点实验室开放基金资助项目 (GZ990 8)