Minimizing noise effect in curvature-based damage detection
Damage detection is essential for condition assessment of serviceability and safety of bridges. Different methods have been developed for damage detection based on static or dynamic response of bridges, among which curvature-based method attracted more and more attention as it shed light on accurate detection of damage location. Although there are many investigations contributed to this method, few of them considered the effect of measurement noise and approaches to minimize noise effect. In this paper, effect of measurement noise is investigated in the curvature-based damage detection. An approach is proposed to minimize noise effect for practical application on realistic cases. To verify its reliability and efficacy, laboratory experiment is conducted on a beam specimen, and the measured displacement is used to identify damage with the proposed approach. To illustrate the applicability for realistic bridges, this method was applied to a detailed Finite Element bridge model which also considers effects of measurement noise. The results indicate the feasibility of this method in practical application on girder bridges.
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/21905452
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Supplemental Notes:
- Copyright © 2016, Springer-Verlag Berlin Heidelberg.
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Authors:
- Sun, Zhen
- Nagayama, Tomonori
- Fujino, Yozo
- Publication Date: 2016-4
Language
- English
Media Info
- Media Type: Web
- Pagination: pp 255-264
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Serial:
- Journal of Civil Structural Health Monitoring
- Volume: 6
- Issue Number: 2
- Publisher: Springer Verlag
- ISSN: 2190-5452
- EISSN: 2190-5479
- Serial URL: http://link.springer.com/journal/13349
Subject/Index Terms
- TRT Terms: Curvature; Girder bridges; Highway safety; Noise; Structural health monitoring
- Subject Areas: Bridges and other structures; Highways; Safety and Human Factors;
Filing Info
- Accession Number: 01600643
- Record Type: Publication
- Files: TRIS
- Created Date: May 3 2016 9:16AM