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A Two-Stage Approach for Damage Diagnosis of Structures Based on a Fully Distributed Strain Mode under Multigain Feedback Control

Author

Listed:
  • Zheng Zhou

    (School of Transportation Science and Engineering, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China)

  • Kaizhi Dong

    (West Coast Transport Bureau of Qingdao, 81 Xiangjiang Road, Qingdao 266427, China)

  • Ziwei Fang

    (Infrastructure Group, Faculty of Engineering and Physical Sciences, University of Southampton, Burgess Road, Southampton SO167QF, UK)

  • Yang Liu

    (School of Transportation Science and Engineering, Harbin Institute of Technology, 73 Huanghe Road, Harbin 150090, China)

Abstract

The application of distributed fiber sensing technology in civil engineering has been developed to obtain more accurate and reliable information for structural health monitoring (SHM). With this sensing technique, high-density strain data are provided to benefit the stability and robustness in a closed-loop damage detection method which has not yet been investigated. To address this concern, a two-stage approach for structural damage detection combining a modal strain energy-based index (MSEBI) method with a hybrid artificial neural network (ANN) and particle swarm optimization (PSO) algorithm is proposed. In this study, the fully distributed strain measurement is taken advantage of, and a strain-based, closed-loop system with multiple gains aggregated for damage sensitivity enhancement is established, by which high-precision damage location and quantification can be realized through the proposed two-stage method. For the first step, the closed-loop strain mode shapes are used to construct the MSEBI for damage localization. For the second step, we adopt the PSO algorithm to train the parameters (weights and biases) of the neural network in order to reduce the difference between the real and expected outputs and then use the trained network for quantifying the damage extent. Furthermore, validation is completed by contemplating a two-span, bridge-like structure.

Suggested Citation

  • Zheng Zhou & Kaizhi Dong & Ziwei Fang & Yang Liu, 2022. "A Two-Stage Approach for Damage Diagnosis of Structures Based on a Fully Distributed Strain Mode under Multigain Feedback Control," Sustainability, MDPI, vol. 14(16), pages 1-25, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:16:p:10019-:d:887112
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    References listed on IDEAS

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    1. Juan Manuel Castillo-Mingorance & Miguel Sol-Sánchez & Fernando Moreno-Navarro & María Carmen Rubio-Gámez, 2020. "A Critical Review of Sensors for the Continuous Monitoring of Smart and Sustainable Railway Infrastructures," Sustainability, MDPI, vol. 12(22), pages 1-20, November.
    2. Ji-Myong Kim & Kiyoung Son & Youngmi Yoo & Donghoon Lee & Dae Young Kim, 2018. "Identifying Risk Indicators of Building Damage Due to Typhoons: Focusing on Cases of South Korea," Sustainability, MDPI, vol. 10(11), pages 1-12, October.
    3. Jijian Lian & Ou Cai & Xiaofeng Dong & Qi Jiang & Yue Zhao, 2019. "Health Monitoring and Safety Evaluation of the Offshore Wind Turbine Structure: A Review and Discussion of Future Development," Sustainability, MDPI, vol. 11(2), pages 1-29, January.
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