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Minimizing noise effect in curvature-based damage detection

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Abstract

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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Acknowledgments

The financial support from the University of Tokyo is hereby kindly acknowledged. The authors greatly acknowledge the valuable advices from Prof. Di Su from The University of Tokyo and Dr. Dionysius from Yokohama National University during the research. The first author also would like to express gratitude to Japanese Ministry of Education, Culture, Sports, Science and Technology for its scholarship support during his doctoral course.

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Authors and Affiliations

  1. Bridge and Structure Division, Jiangsu Transportation Institute, 2200 Chengxin Street, Jiangning, Nanjing, China

    Zhen Sun

  2. Department of Civil Engineering, The University of Tokyo, Tokyo, Japan

    Tomonori Nagayama

  3. Department of Civil Engineering, Yokohama National University, Yokohama, Japan

    Zhen Sun & Yozo Fujino

Authors
  1. Zhen Sun
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  2. Tomonori Nagayama
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  3. Yozo Fujino
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Correspondence to Zhen Sun.

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Sun, Z., Nagayama, T. & Fujino, Y. Minimizing noise effect in curvature-based damage detection. J Civil Struct Health Monit 6, 255–264 (2016). https://doi.org/10.1007/s13349-016-0163-x

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  • DOI: https://doi.org/10.1007/s13349-016-0163-x

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