摘要
提出了一种应用遗传算法对复合材料结构进行冲击载荷识别的方法,在冲击时刻未知和量测信息缺失的情况下,同时识别冲击时刻和冲击位置并近似重建冲击载荷历程。此方法将冲击载荷识别转换为优化问题,结合复合材料结构在冲击载荷作用下的响应模型,通过最小化理论计算结果与实际量测信息之间的差别,遗传算法自适应地搜索出描述冲击时刻、冲击位置和冲击载荷时间历程的参数。为了提高运算效率,采用微种群遗传算法来加速收敛性。数值仿真结果证明了该冲击载荷识别方法的有效性和可应用性。
This paper proposed a genetic algorithm--based approach for impact load identification of composite structure, which can identify the impact time, impact location and reconstruct the force history simulta- neously with unknown impact time and incomplete measurements. Here, impact load identification was for- mulated as an optimization problem. Combining with a forward impact response model, genetic algorithm adaptively identified the impact time, impact location and force history by minimizing the difference between the analytical results and measured information. To improve computational efficacy, a micro--genetic algorithm was employed to accelerate convergence. Numerical simulation studies demonstrate the effectiveness and appli- cability of the proposed method.
出处
《中国机械工程》
EI
CAS
CSCD
北大核心
2009年第1期99-103,共5页
China Mechanical Engineering
基金
国家自然科学基金资助项目(50478037
10572058)
高等学校博士学科点专项科研基金资助项目(20050287016)
南京航空航天大学博士学位论文创新与创优基金资助项目(BCXJ07-03)
关键词
结构健康监测
冲击载荷识别
微种群遗传算法
复合材料结构
structural health monitoring
impact load identification
micro--genetic algorithm
composite structure
