Analysis of structural damage identification indicators based on natural frequency and curvature mode

Yongle Hou; Shipeng Song; Ning Ning; Weixiao Liu

doi:10.1117/12.2657934

22 December 2022 Analysis of structural damage identification indicators based on natural frequency and curvature mode

Yongle Hou, Shipeng Song, Ning Ning, Weixiao Liu

Proceedings Volume 12460, International Conference on Smart Transportation and City Engineering (STCE 2022); 124601Z (2022) https://doi.org/10.1117/12.2657934
Event: International Conference on Smart Transportation and City Engineering (STCE 2022), 2022, Chongqing, China

Abstract

Accurately estimation the location and degree of structural damage is the key to verify the effectiveness of structural damage detection methods. The natural frequency and curvature mode are chosen as the damage detection indexes, and the availability of indexes is tested by setting different damage scenarios on simply supported beam. The results show that the natural frequency index can identify the location of a single damage, but the damage degrees fail to be estimated. The curvature mode obtained from the low-order mode is able to effectively identify the damage location in damage scenarios, and can reflect the damage degree.

Citation Download Citation

Yongle Hou, Shipeng Song, Ning Ning, and Weixiao Liu "Analysis of structural damage identification indicators based on natural frequency and curvature mode", Proc. SPIE 12460, International Conference on Smart Transportation and City Engineering (STCE 2022), 124601Z (22 December 2022); https://doi.org/10.1117/12.2657934

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