Author:
Zhang HongJie,Sun Qigang,Li DanYu,Li Chen,He Chunhui,Liu Gang
Abstract
AbstractA method based on Gabor spectral mode transmissibility functions (GSMTFs) is proposed to detect local damage in a cantilevered structure under nonstationary ambient excitations. Gabor transformation and singular value decomposition are used to reduce the influences of other vibration modes on Gabor spectral mode transmissibility functions and process nonstationary structural responses, respectively. A new state characteristic based on the fundamental structure frequency is formulated on the basis of the GSMTFs, eventually leading to the development of a new damage indicator. The probability density functions of the damage indicator for healthy and damaged states can be estimated from the measured data, and the receiver operating characteristic (ROC) curve derived from these probability distributions and the corresponding area under the ROC curve (AUC) are used to determine the damage location. A six-degree-of-freedom system and a typical transmission tower are numerically studied, and the results show that the proposed method can estimate the structural damage location under nonstationary random loads. The proposed method is further validated with a planar frame in the laboratory, which exhibits multiple damage elements via random force hammer excitations. The results show that the AUC values computed for certain parts of the structure containing the damaged elements are greater than those for other parts of the structure, indicating the effectiveness of the proposed method. Moreover, the proposed method is compared with the dot product difference (DPD) index, and the results from the laboratory planar frame demonstrate that the proposed method can better identify damage.
Funder
State Grid Corporation of China
Publisher
Springer Science and Business Media LLC
Reference34 articles.
1. ASCE. 2013 Report Card for America’s Infrastructure 1–74 (ASCE, 2013).
2. Liu, G., Li, M. & Mao, Z. Dynamic monitoring of structure in civil engineering for phase motion estimation via Hilbert transform. Mech. Syst. Signal Process. 166, 108418 (2022).
3. Sardorbek, Niyozov, Marco, Domaneschi, Casas, Joan R. & Delgadillo, Rick M. Temperature effects removal from non-stationary bridge-vehicle interaction signals for ML damage detection. Sensors 23(11), 1424–8220 (2023).
4. Ilias, Zacharakis & Dimitrios, Giagopoulos. Model-based damage localization using the particle swarm optimization algorithm and dynamic time wrapping for pattern recreation. Sensors 23(2), 1424–8220 (2023).
5. Parsa, Ghannadi et al. Finite element model updating and damage identification using semi-rigidly connected frame element and optimization procedure An experimental validation. Structures https://doi.org/10.1016/j.istruc.2023.02.008 (2023).