PSO based TMD & ATMD control for high-rise structure excited by simulated fluctuating wind field

Authors

  • Huang Wei School of Civil and Hydraulic Engineering, Hefei university of technology, Hefei, China
  • Da Yong Zhu School of Civil and Hydraulic Engineering, Hefei university of technology, Hefei, China; Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China
  • Jian Xu China National Machinery Industry Corporation, Beijing, China
  • Xiao Jin Wang School of Civil and Hydraulic Engineering, Hefei university of technology, Hefei, China; Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China
  • Jian Wei Lu School of Mechanical and Automotive Engineering, Hefei university of technology, Hefei, China
  • Kun Lin Lu School of Civil and Hydraulic Engineering, Hefei university of technology, Hefei, China; Anhui Provincial Laboratory of Civil Engineering and Materials, Hefei, China

Keywords:

decimation-in-time, fast Fourier transform, waves with weighted amplitude, wind speed spectrum, benchmark structure, tuned mass damper, active tuned mass damper, linear quadratic Gaussian algorithm

Abstract

This paper reports a novel control strategy combined with artificial intelligence for wind-induced vibration control of a high-rise structure and also provides a broader idea for traditional structural vibration control. The fast Fourier transform based on decimation-in-time was used to optimize the waves with a weighted amplitude method, and the wind speed field was numerically generated according to a Davenport - type fluctuating wind speed spectrum. A second-generation benchmark structure was selected as the high-rise building model. Tuned mass damper (TMD) and active tuned mass damper (ATMD) served as the controller, and the linear- quadratic- Gaussian algorithm served as the active control algorithm for ATMD. Simultaneously, the particle swarm  optimization algorithm was introduced, and the integral of the absolute value of the error based on the relative displacement of floors with regard to the ground level was defined as a performance index for optimizing. The numerical results reveal that both of the two proposed controllers have excellent capability in reducing wind-induced vibrations in high-rise buildings; moreover, the PSO-based ATMD performed better than PSO-based TMD.

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Published

2015-10-12