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Author:

Liu, Haifeng (Liu, Haifeng.) | Li, Zhengguang (Li, Zhengguang.)

Indexed by:

SCIE Scopus EI

Abstract:

Structural damage detection is a key part of structural health monitoring. The generalized flexibility matrix approach is an effective method for damage detection. Compared with the flexibility matrix approach, it requires less number of natural frequencies and corresponding mode shapes. In this paper, the approach is improved by considering the nonnegativity of the damage extent. The error bound of two solutions calculated by the improved approach using natural frequencies and corresponding mode shapes without and with noises is derived. Numerical examples with different damage scenarios show that compared with the original generalized flexibility matrix approach, our proposed method works better.

Keyword:

Damage detection flexibility matrix linear complementarity mode shape natural frequency

Author Community:

  • [ 1 ] [Liu, Haifeng] Xi An Jiao Tong Univ, Sch Math & Stat, Xian, Shaanxi, Peoples R China
  • [ 2 ] [Liu, Haifeng] Xian Int Acad Math & Math Technol, Ctr Optimizat Tech & Quantitat Finance, Xian, Shaanxi, Peoples R China
  • [ 3 ] [Li, Zhengguang] Jilin Univ, Sch Math, Changchun, Jilin, Peoples R China
  • [ 4 ] [Liu, Haifeng]Xi An Jiao Tong Univ, Sch Math & Stat, Xian, Shaanxi, Peoples R China
  • [ 5 ] [Liu, Haifeng]Xian Int Acad Math & Math Technol, Ctr Optimizat Tech & Quantitat Finance, Xian, Shaanxi, Peoples R China
  • [ 6 ] [Li, Zhengguang]Jilin Univ, Sch Math, Changchun, Jilin, Peoples R China

Reprint Author's Address:

  • [Li, Zhengguang]School of Mathematics, Jilin University, Changchun, China;;

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Source :

INVERSE PROBLEMS IN SCIENCE AND ENGINEERING

ISSN: 1741-5977

Year: 2019

Issue: 6

Volume: 28

Page: 877-893

1 . 3 1 4

JCR@2019

1 . 9 5 0

JCR@2020

ESI Discipline: ENGINEERING;

ESI HC Threshold:83

JCR Journal Grade:3

CAS Journal Grade:4

Cited Count:

WoS CC Cited Count: 7

SCOPUS Cited Count: 17

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 7

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