An auto-correlation-based method for structural damage identification using displacement information. Issue 1 (1st March 2022)

• Record Type: Journal Article
• Authors: Li, Y J; Lei, C; Li, J T; Yu, F J; Wang, Z P; Zhang, M Y
• Is Part Of: Journal of physics. Volume 2184:Issue 1(2022)
• Publication Date: 2022-03-01
• Subjects: Physics -- Congresses; 530.5
• DOI: 10.1088/1742-6596/2184/1/012026
• Languages: English
• ISSNs: 1742-6588

Abstract

Abstract: Vibration-based damage identification methods have been received widespread attention these days for its property of global damage identification. This paper presents a damage identification method using the Auto correlation function at Maximum point value Vector (AMV) of vision-based displacement response of the structure. Sensitivity analysis for the normalized AMV to the local stiffness shows there is a sharp change of the damage index around the damage location, which means it is a good indicator for the damage. The influence of the excitation frequency on the detect ability of this proposed method is verified by the numerical simulation and non-contact damage identification experiment of a shear frame.