Damage detection approach based on the second derivative of flexibility estimated from incomplete mode shape data

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17

초록

The presence of damage in a structural member causes local and global deterioration of structural performance. The stiffness and flexibility can be predicted using the measured mode shapes. The stiffness and flexibility are estimated because it is not easy to collect the complete modal data corresponding to full modes and degrees of freedom (DOFs). The prediction using the lowest few modes provides a more accurate flexibility prediction compared with the stiffness. This work indicates that the updated flexibility matrix can extract more information concerning the state of the structural health compared with the stiffness matrix. Additionally, incomplete measurement data should be expanded to construct the flexibility matrix at damaged state. This study derives the analytical methods used to update the flexibility matrix based on an expanded full set of DOFs and to detect damage using the updated flexibility curvature. The validity of the proposed method is evaluated using a numerical experiment, and the method's effectiveness depending on the number of truncated modes is investigated. (C) 2017 Elsevier Inc. All rights reserved.

키워드

Flexibility; Mode shape; Pseudo inverse; Cost function; Data expansion; Damage detection; IDENTIFICATION
제목
Damage detection approach based on the second derivative of flexibility estimated from incomplete mode shape data
저자
Lee, Eun-Taik; Eun, Hee-Chang
DOI
10.1016/j.apm.2017.02.014
발행일
2017-04
유형
Article
저널명
Applied Mathematical Modelling
권
44
페이지
602 ~ 613