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Author:

Xu Li (Xu Li.) | Yi Weijian (Yi Weijian.) | Yi, Zhihua (Yi, Zhihua.)

Indexed by:

EI Scopus SCIE

Abstract:

Structural strain modes are able to detect changes in local structural performance, but errors are inevitably intermixed in the measured data. In this paper, strain modal parameters are considered as random variables, and their uncertainty is analyzed by a Bayesian method based on the structural frequency response function (FRF). The estimates of strain modal parameters with maximal posterior probability are determined. Several independent measurements of the FRF of a four-story reinforced concrete frame structural model were performed in the laboratory. The ability to identify the stiffness change in a concrete column using the strain mode was verified. It is shown that the uncertainty of the natural frequency is very small. Compared with the displacement mode shape, the variations of strain mode shapes at each point are quite different. The damping ratios are more affected by the types of test systems. Except for the case where a high order strain mode does not identify local damage, the first order strain mode can provide an exact indication of the damage location.

Keyword:

damage detection strain mode uncertainty concrete frame local damage frequency response function Bayesian method

Author Community:

  • [ 1 ] [Xu Li]Beijing Univ Technol, Beijing 100022, Peoples R China
  • [ 2 ] [Xu Li]Guangzhou Univ, Guangzhou 510405, Peoples R China
  • [ 3 ] [Yi Weijian]Hunan Univ, Changsha 410082, Hunan, Peoples R China
  • [ 4 ] [Yi, Zhihua]CUNY City Coll, New York, NY 10031 USA

Reprint Author's Address:

  • [Xu Li]Beijing Univ Technol, Beijing 100022, Peoples R China

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Source :

EARTHQUAKE ENGINEERING AND ENGINEERING VIBRATION

ISSN: 1671-3664

Year: 2007

Issue: 2

Volume: 6

Page: 183-189

2 . 8 0 0

JCR@2022

ESI Discipline: ENGINEERING;

Cited Count:

WoS CC Cited Count: 6

SCOPUS Cited Count: 5

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 6

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