Structural Engineering and Mechanics

  • 제29권2호
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  • Pages.155-169
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  • 2008
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  • 1225-4568(pISSN)
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  • 1598-6217(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

A MOM-based algorithm for moving force identification: Part II - Experiment and comparative studies

  • Yu, Ling (Key Lab of Disaster Forecast and Control in Engineering, Ministry of Education of the People's Republic of China (Jinan University), Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Chan, Tommy H.T. (School of Urban Development, Faculty of Built Environment & Engineering, Queensland University of Technology, Department of Civil and Structural Engineering, The Hong Kong Polytechnic University) ;
  • Zhu, Jun-Hua (Key Lab of Disaster Forecast and Control in Engineering, Ministry of Education of the People's Republic of China (Jinan University), Changjiang River Scientific Research Institute)
  • 투고 : 2006.08.30
  • 심사 : 2007.08.07
  • 발행 : 2008.05.30
⟨ 이전 논문 다음 논문 ⟩

초록

A MOM-based algorithm (MOMA) has been developed for moving force identification from dynamic responses of bridge in the companion paper. This paper further evaluates and investigates the properties of the developed MOMA by experiment in laboratory. A simply supported bridge model and a few vehicle models were designed and constructed in laboratory. A series of experiments have then been conducted for moving force identification. The bending moment and acceleration responses at several measurement stations of the bridge model are simultaneously measured when the model vehicle moves across the bridge deck at different speeds. In order to compare with the existing time domain method (TDM), the best method for moving force identification to date, a carefully comparative study scheme was planned and conducted, which includes considering the effect of a few main parameters, such as basis function terms, mode number involved in the identification calculation, measurement stations, executive CPU time, Nyquist fraction of digital filter, and two different solutions to the ill-posed system equation of moving force identification. It was observed that the MOMA has many good properties same as the TDM, but its CPU execution time is just less than one tenth of the TDM, which indicates an achievement in which the MOMA can be used directly for real-time analysis of moving force identification in field.

키워드

참고문헌

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  12. Toward efficacy of piecewise polynomial truncated singular value decomposition algorithm in moving force identification vol.22, pp.12, 2019, https://doi.org/10.1177/1369433219849817