Steel and Composite Structures

  • 제42권5호
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  • Pages.591-598
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  • 2022
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
권호 표지
DOI QR코드

DOI QR Code

Dynamic intelligent control of composite buildings by using M-TMD and evolutionary algorithm

  • Chen, ZY (School of Science, Guangdong University of Petrochemical Technology) ;
  • Meng, Yahui (School of Science, Guangdong University of Petrochemical Technology) ;
  • Wang, Ruei-Yuan (School of Science, Guangdong University of Petrochemical Technology) ;
  • Peng, Sheng-Hsiang (Department of Civil and Environmental Engineering, University of California) ;
  • Yang, Yaoke (School of Computer Science, Zhongyuan University of Technology) ;
  • Chen, Timothy (Division of Engineering and Applied Science, California Institute of Technology)
  • 투고 : 2020.08.26
  • 심사 : 2022.02.12
  • 발행 : 2022.03.10
⟨ 이전 논문 다음 논문 ⟩

초록

The article deals with the possibilities of vibration stimulation. Based on the stability analysis, a multi-scale approach with a modified whole-building model is implemented. The motion equation is configured for a controlled bridge with a MDOF (multiple dynamic degrees of freedom) Tuned Mass Damper (M-TMD) system, and a combination of welding, excitation, and control effects is used with its advanced packages and commercial software submodel. Because the design of high-performance and efficient structural systems has been of interest to practical engineers, systematic methods of structural and functional synthesis of control systems must be used in many applications. The smart method can be stabilized by properly controlling the high frequency injection limits. The simulation results illustrate that the multiple modeling method used is consistent with the accuracy and high computational efficiency. The M-TMD system, even with moderate reductions in critical pressure, can significantly suppress overall feedback on an unregulated design.

키워드

과제정보

The authors are grateful for the research grants given to Yahui Meng from the Provincial key platforms and major scientific research projects of universities in Guangdong Province, Peoples R China under Grant No. 2017GXJK116, and the research grants given to ZY Chen from the Projects of Talents Recruitment of GDUPT (NO. 2021rc002) in Guangdong Province, Peoples R China No. 2021rc002 as well as to the anonymous reviewers for constructive suggestions.

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