Steel and Composite Structures
Volume 42, Number 5, 2022, pages 591-598
DOI: 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.