Structural damage detection based on natural frequency vector

Zhichun Yang, Le Wang

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Based on the new conception of natural frequency vector (NFV) and natural frequency vector assurance criterion (NFVAC), a new damage detection method using the natural frequencies as damage character is described in detail. For a specific structure, a series of small damage states can be simulated and the NFVs of these damaged structures can be calculated and used to build the damage feature database of the structure. Then, the values of natural frequency vector assurance criterion (NFVAC) which are calculated between the damage states in the damage feature database and the actual structure are used as damage index. An 8-story shear frame model is adopted as an example to show the feasibility and validity of the proposed method. Both numerical simulations and model experiments for damage detection are performed, the results demonstrate that using NFVAC, the damage location can be identified correctly and the damage extents can be estimated as well.

源语言英语
主期刊名Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
33-40
页数8
DOI
出版状态已出版 - 2008
活动ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008 - Ellicott City, MD, 美国
期限: 28 10月 200830 10月 2008

出版系列

姓名Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
2

会议

会议ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
国家/地区美国
Ellicott City, MD
时期28/10/0830/10/08

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