Smart Structures and Systems

  • 제30권5호
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  • Pages.447-462
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  • 2022
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Numerical modelling of a shear-thickening fluid damper using optimal transit parameters

  • Yu, Chung-Han (National Center for Research on Earthquake Engineering, National Applied Research Laboratories) ;
  • Surjanto, Yohanes K. (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology) ;
  • Chen, Pei-Ching (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology) ;
  • Peng, Shen-Kai (National Center for Research on Earthquake Engineering, National Applied Research Laboratories) ;
  • Chang, Kuo-Chun (Department of Civil Engineering, National Taiwan University)
  • 투고 : 2021.11.09
  • 심사 : 2022.08.25
  • 발행 : 2022.11.25
⟨ 이전 논문 다음 논문 ⟩

초록

The viscosity of a shear-thickening fluid damper (STFD) can increase dramatically when the STFD undergoes high-rate of excitation. Therefore, accurate numerical modelling of the STFD has been considered difficult due to this distinct feature. This study aims to develop a numerical model to accurately simulate the response of the STFD. First, a STFD is designed, fabricated, and installed in the laboratory. Then, performance tests are conducted in which sine waves with nine frequencies at three amplitude levels are adopted as the displacement excitations to the STFD. A novel numerical model which contains two parameter sets of the discrete Bouc-Wen model as well as two parameters for transiting the two parameter sets. Therefore, a total number of eighteen parameters need to be identified in the damper model. The symbiotic organisms search is applied to optimize the parameters. Numerical simulation results demonstrate that the proposed STFD model with transit parameter sets outperforms the conventional discrete Bouc-Wen model. The proposed STFD model can be applied to analyses of structures in which STFDs are installed in the future.

키워드

과제정보

The authors would like to express our sincere gratitude to the experimental facilities and expense supported by NCREE (06110A2500) as well as the financial support provided by the Ministry of Science and Technology, Republic of China (Taiwan) (MOST 108-2221-E-011-006-MY2).

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