Structural Engineering and Mechanics

  • 제53권2호
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  • Pages.261-276
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  • 2015
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Structural damage and force identification under moving load

  • Zhu, Hongping (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology) ;
  • Mao, Ling (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology) ;
  • Weng, Shun (School of Civil Engineering and Mechanics, Huazhong University of Science and Technology) ;
  • Xia, Yong (Department of Civil & Structural Engineering, The Hong Kong Polytechnic Unversity)
  • 투고 : 2013.10.17
  • 심사 : 2014.05.17
  • 발행 : 2015.01.25
⟨ 이전 논문 다음 논문 ⟩

초록

Structural damage and moving load identification are the two aspects of structural system identification. However, they universally coexist in the damaged structures subject to unknown moving load. This paper proposed a dynamic response sensitivity-based model updating method to simultaneously identify the structural damage and moving force. The moving force which is equivalent as the nodal force of the structure can be expressed as a series of orthogonal polynomial. Based on the system Markov parameters by the state space method, the dynamic response and the dynamic response derivatives with respect to the force parameters and elemental variations are analytically derived. Afterwards, the damage and force parameters are obtained by minimizing the difference between measured and analytical response in the sensitivity-based updating procedure. A numerical example for a simply supported beam under the moving load is employed to verify the accuracy of the proposed method.

키워드

과제정보

연구 과제 주관 기관 : National Natural Science Foundation of China, Central Universities

참고문헌

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피인용 문헌

  1. Moving load response on the stresses produced in an irregular microstretch substrate vol.60, pp.2, 2016, https://doi.org/10.12989/sem.2016.60.2.175
  2. Damage Identification in Bridges by Processing Dynamic Responses to Moving Loads: Features and Evaluation vol.19, pp.3, 2019, https://doi.org/10.3390/s19030463
  3. Identifying Distributed Dynamic Loading in One Spatial Dimension Based on Combing Wavelet Decomposition and Kalman Filter with Unknown Input vol.34, pp.4, 2021, https://doi.org/10.1061/(asce)as.1943-5525.0001265