| 林湘,吴子燕,邓子辰.基于子结构的非线性参数系统动力反演方法研究[J].计算力学学报,2009,26(1):15~19 |
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| 基于子结构的非线性参数系统动力反演方法研究 |
| Nonlinear system parameters inversion method based on substructure |
| 投稿时间：2007-03-23 |
| DOI：10.7511/jslx20091003 |
| 中文关键词: 动力反演 非线性参数识别 广义逆 子结构 |
| 英文关键词:dynamicinversion nonlinear parameter identification Moore-Penrose Pseudo inverse substructure |
| 基金项目:国家高技术研究发展计划(863计划)资助项目(2006AA04Z437);国家自然科学基金(10632030);教育部新世纪优秀人才计划(NCET-04-0958)及大连理工大学工业装备结构分析国家重点实验室开放基金资助项目. |
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| 摘要点击次数: 1419 |
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| 中文摘要: |
| 料两个层次上的分配,得到优化设计;提供的数值算例检验了本文所提方法及计算模型,并讨论了温度变化、材料体积及计算参数对优化结果的影响。研究结果表明同时考虑热和 |
| 英文摘要: |
| The nonlinear system parameter identification problem with incomplete input and output information is studied. The consideration of Rayleigh-type proportional damping introduces a nonlinear system parameters identification problem. In this paper, combined with decomposition algorithm, the proposed method obtains minimal norm least square solution of the unknown system parameter and the unknown input in one step by using Moore-Penrose Pseudo-inverse. The substructure method offers an efficient approach for the dynamic detection of engineering structures with limited observations. Compared with Compensation Method, the method is more efficient and has a wider application background. The numerical example shows that the proposed approach can effectively identify the structural parameters from incomplete measurements. The algorithm is expected to provide an economical, simple, efficient, and robust system identification technique that can be used as a nondestructive defect detection procedure in the future. |
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