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Steel and Composite Structures
  Volume 42, Number 5, March10 2022 , pages 591-598
DOI: https://doi.org/10.12989/scs.2022.42.5.591
 


Dynamic intelligent control of composite buildings by using M-TMD and evolutionary algorithm
ZY Chen, Yahui Meng, Ruei-Yuan Wang, Sheng-Hsiang Peng, Yaoke Yang and Timothy Chen

 
Abstract
    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.
 
Key Words
    energy equations; structural control; tuned mass damper
 
Address
ZY Chen:School of Science, Guangdong University of Petrochemical Technology, Maoming 525000, Peoples R China

Yahui Meng:School of Science, Guangdong University of Petrochemical Technology, Maoming 525000, Peoples R China

Ruei-Yuan Wang:School of Science, Guangdong University of Petrochemical Technology, Maoming 525000, Peoples R China

Sheng-Hsiang Peng:Department of Civil and Environmental Engineering, University of California, Irvine, CA, 92697, U.S.A

Yaoke Yang:School of Computer Science, Zhongyuan University of Technology, Zhengzhou 450007, Peoples R China

Timothy Chen:Division of Engineering and Applied Science, California Institute of Technology, Pasadena, CA 91125, U.S.A.
 

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