Smart Structures and Systems

  • 제5권4호
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  • Pages.369-379
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  • 2009
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Entropy-based optimal sensor networks for structural health monitoring of a cable-stayed bridge

  • Azarbayejani, M. (Dept. of Civil Engineering, University of New Mexico) ;
  • El-Osery, A.I. (Dept. of Electrical Engineering, New Mexico Tech) ;
  • Taha, M.M. Reda (Dept. of Civil Engineering, University of New Mexico)
  • 투고 : 2008.08.20
  • 심사 : 2008.09.27
  • 발행 : 2009.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

The sudden collapse of Interstate 35 Bridge in Minneapolis gave a wake-up call to US municipalities to re-evaluate aging bridges. In this situation, structural health monitoring (SHM) technology can provide the essential help needed for monitoring and maintaining the nation's infrastructure. Monitoring long span bridges such as cable-stayed bridges effectively requires the use of a large number of sensors. In this article, we introduce a probabilistic approach to identify optimal locations of sensors to enhance damage detection. Probability distribution functions are established using an artificial neural network trained using a priori knowledge of damage locations. The optimal number of sensors is identified using multi-objective optimization that simultaneously considers information entropy and sensor cost-objective functions. Luling Bridge, a cable-stayed bridge over the Mississippi River, is selected as a case study to demonstrate the efficiency of the proposed approach.

키워드

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  2. Correlation analysis of the wind of a cable-stayed bridge based on field monitoring vol.13, pp.6, 2010, https://doi.org/10.12989/was.2010.13.6.529
  3. Data-driven modeling of vortex-induced vibration of a long-span suspension bridge using decision tree learning and support vector regression vol.172, 2018, https://doi.org/10.1016/j.jweia.2017.10.022
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  13. Data‐driven modeling of bridge buffeting in the time domain using long short‐term memory network based on structural health monitoring vol.28, pp.8, 2009, https://doi.org/10.1002/stc.2772
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