Structural Engineering and Mechanics

  • 제23권1호
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  • Pages.75-95
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  • 2006
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Two-step approaches for effective bridge health monitoring

  • Lee, Jong Jae (Department of Civil & Environmental Engineering, University of California Irvine) ;
  • Yun, Chung Bang (Smart Infra-Structure Technology Center, Korea Advanced Institute of Science and Technology)
  • 투고 : 2005.05.17
  • 심사 : 2006.02.03
  • 발행 : 2006.05.10
⟨ 이전 논문 다음 논문 ⟩

초록

Two-step identification approaches for effective bridge health monitoring are proposed to alleviate the issues associated with many unknown parameters faced in real structures and to improve the accuracy in the estimate results. It is suitable for on-line monitoring scheme, since the damage assessment is not always needed to be carried out whereas the alarming for damages is to be continuously monitored. In the first step for screening potentially damaged members, a damage indicator method based on modal strain energy, probabilistic neural networks and the conventional neural networks using grouping technique are utilized and then the conventional neural networks technique is utilized for damage assessment on the screened members in the second step. The effectiveness of the proposed methods is investigated through a field test on the northern-most span of the old Hannam Grand Bridge over the Han River in Seoul, Korea.

키워드

참고문헌

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피인용 문헌

  1. Sequential damage detection approaches for beams using time-modal features and artificial neural networks vol.323, pp.1-2, 2009, https://doi.org/10.1016/j.jsv.2008.12.023
  2. Hypersensitivity of strain-based indicators for structural damage identification: A review vol.24, pp.3, 2010, https://doi.org/10.1016/j.ymssp.2009.11.002
  3. A Parameter Estimation Method for Bridges Based on Field Measured Influence Lines vol.744-746, pp.1662-7482, 2015, https://doi.org/10.4028/www.scientific.net/AMM.744-746.726