TY - GEN
T1 - Structural damage detection based on natural frequency vector
AU - Yang, Zhichun
AU - Wang, Le
PY - 2008
Y1 - 2008
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=78149372699&partnerID=8YFLogxK
U2 - 10.1115/SMASIS2008-372
DO - 10.1115/SMASIS2008-372
M3 - 会议稿件
AN - SCOPUS:78149372699
SN - 9780791843314
SN - 9780791843321
T3 - Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
SP - 33
EP - 40
BT - Proceedings of the ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
T2 - ASME Conference on Smart Materials, Adaptive Structures and Intelligent Systems, SMASIS2008
Y2 - 28 October 2008 through 30 October 2008
ER -