DOI QR코드

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An intelligent semi-active isolation system based on ground motion characteristic prediction

  • Lin, Tzu-Kang (Department of Civil Engineering, National Yang Ming Chiao Tung University) ;
  • Lu, Lyan-Ywan (Department of Civil Engineering, National Cheng Kung University) ;
  • Hsiao, Chia-En (Department of Civil Engineering, National Yang Ming Chiao Tung University) ;
  • Lee, Dong-You (Department of Civil Engineering, National Yang Ming Chiao Tung University)
  • 투고 : 2021.06.26
  • 심사 : 2021.08.11
  • 발행 : 2022.01.25

초록

This study proposes an intelligent semi-active isolation system combining a variable-stiffness control device and ground motion characteristic prediction. To determine the optimal control parameter in real-time, a genetic algorithm (GA)-fuzzy control law was developed in this study. Data on various types of ground motions were collected, and the ground motion characteristics were quantified to derive a near-fault (NF) characteristic ratio by employing an on-site earthquake early warning system. On the basis of the peak ground acceleration (PGA) and the derived NF ratio, a fuzzy inference system (FIS) was developed. The control parameters were optimized using a GA. To support continuity under near-fault and far-field ground motions, the optimal control parameter was linked with the predicted PGA and NF ratio through the FIS. The GA-fuzzy law was then compared with other control laws to verify its effectiveness. The results revealed that the GA-fuzzy control law could reliably predict different ground motion characteristics for real-time control because of the high sensitivity of its control parameter to the ground motion characteristics. Even under near-fault and far-field ground motions, the GA-fuzzy control law outperformed the FPEEA control law in terms of controlling the isolation layer displacement and the superstructure acceleration.

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