A Substructural Damage Identification Approach for Shear Structure Based on Changes in the First AR Model Coefficient Matrix. (16th June 2015)

• Record Type: Journal Article
• Authors: Mei, Liu; Mita, Akira; Zhou, Jin
• Other Names: Sá Caetano Elsa de Academic Editor.
• Is Part Of: Journal of structures. Volume 2015(2015)
• Publication Date: 2015-06-16
• Subjects: Structural engineering -- Periodicals; Structural engineering; Electronic journals; Periodicals; 624.17
• DOI: 10.1155/2015/976349
• Languages: English
• ISSNs: 2356-766X

Abstract

Abstract : A substructural damage identification approach based on changes in the first AR model coefficient matrix is proposed in this paper to identify structural damage including its location and severity. Firstly, a substructure approach is adopted in the procedure to divide a complete structure into several substructures in order to significantly reduce the number of unknown parameters for each substructure so that damage identification processes can be independently conducted on each substructure. To establish a relation between changes in AR model coefficients and structural damage for each substructure, a theoretical derivation is presented. Thus the accelerations are fed into ARMAX models to determine the AR model coefficients for each substructure under undamaged and various damaged conditions, based on which changes in the first AR model coefficient matrix (CFAR) is obtained and adopted as the damage indicator for the proposed substructure damage identification approach. To better assess the performance of the proposed procedure, a numerical simulation and an experimental verification of the proposed approach are then carried out and the results show that the proposed procedure can successfully locate and quantify the damage in both simulation and laboratory experiment.