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A Study on the Optimization and Bridge Seismic Response Test of CAFB Using El-centro Seismic Waveforms

El-centro 지진파형을 이용한 CAFB의 최적화 및 교량 지진응답실험에 관한 연구

  • Heo, Gwang Hee (Department of International Civil and Plant Engineering, Konyang University) ;
  • Lee, Chin Ok (Department of Civil Engineering, Chungnam National University) ;
  • Seo, Sang Gu (Department of Civil Engineering and Informatics, Chungnam State University) ;
  • Park, Jin Yong (Department of Disaster Management Engineering, Konyang University) ;
  • Jeon, Joon Ryong (Department of Disaster Management Engineering, Konyang University)
  • 허광희 (건양대학교 해외건설플랜트학과) ;
  • 이진옥 (충남대학교 토목공학과) ;
  • 서상구 (충남도립대학교 건설정보과) ;
  • 박진용 (건양대학교 재난안전공학과대학원) ;
  • 전준용 (건양대학교 재난안전공학과대학원)
  • Received : 2020.01.02
  • Accepted : 2020.01.21
  • Published : 2020.03.01

Abstract

This study aims to optimize the cochlea-inspired artificial filter bank (CAFB) using El-Centro seismic waveforms and test its performance through a shaking table test on a two-span bridge model. In the process of optimizing the CAFB, El-Centro seismic waveforms were used for the purpose of evaluating how they would affect the optimizing process. Next, the optimized CAFB was embedded in the developed wireless-based intelligent data acquisition (IDAQ) system to enable response measurement in real-time. For its performance evaluation to obtain a seismic response in real-time using the optimized CAFB, a two-span bridge (model structures) was installed in a large shaking table, and a seismic response experiment was carried out on it with El-Centro seismic waveforms. The CAFB optimized in this experiment was able to obtain the seismic response in real-time by compressing it using the embedded wireless-based IDAQ system while the obtained compressed signals were compared with the original signal (un-compressed signal). The results of the experiment showed that the compressed signals were superior to the raw signal in response performance, as well as in data compression effect. They also proved that the CAFB was able to compress response signals effectively in real-time even under seismic conditions. Therefore, this paper established that the CAFB optimized by being embedded in the wireless-based IDAQ system was an economical and efficient data compression sensing technology for measuring and monitoring the seismic response in real-time from structures based on the wireless sensor networks (WSNs).

Keywords

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