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author:

Ren, Wei-Xin (Ren, Wei-Xin.) [1] | De Roeck, Guido (De Roeck, Guido.) [2]

Indexed by:

EI

Abstract:

The change of modal characteristics directly provides an indication of structural damage. Based on changes in frequencies and mode shapes of vibration, a damage identification technique is proposed in this paper for predicting damage location and severity. The method is applied at an element level with a conventional finite-element model. The element damage equations have been established through the eigenvalue equations that characterize the dynamic behavior. Several solution techniques are discussed and compared. The influence of simulated noise in the modal data is also presented. The method has been verified by a number of damage scenarios for simulated beams and has found the exact location and severity of damage. It is demonstrated that multiplying the damaged eigenvalue equations with the undamaged or damaged mode shapes provides more equations and guarantees the damage localization. The resulting equations, however, become more sensitive to the deviation of modal data and the direct solution often yields poor results. Numerical results show that the non-negative least-squares method can lead to satisfactory results in most cases. A regularization algorithm with error-based truncation is necessary to ensure the right solutions.

Keyword:

Acoustic noise Algorithms Beams and girders Computer simulation Defects Dynamic response Eigenvalues and eigenfunctions Errors Finite element method Least squares approximations Modal analysis Structures (built objects) Vibrations (mechanical)

Community:

  • [ 1 ] [Ren, Wei-Xin]Dept. of Civil Engineering, Fuzhou Univ., Fuzhou, Fujian Province, China
  • [ 2 ] [De Roeck, Guido]Dept. of Civil Engineering, Fuzhou Univ., Fuzhou, Fujian Province, China

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Source :

Journal of Structural Engineering

ISSN: 0733-9445

Year: 2002

Issue: 1

Volume: 128

Page: 87-95

0 . 6 7 2

JCR@2002

3 . 7 0 0

JCR@2023

JCR Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 311

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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