Smart Structures and Systems

  • 제31권2호
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  • Pages.141-154
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  • 2023
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  • 1738-1584(pISSN)
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  • 1738-1991(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

Feasibility study on using crowdsourced smartphones to estimate buildings' natural frequencies during earthquakes

  • Ting-Yu Hsu (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology) ;
  • Yi-Wen Ke (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology) ;
  • Yo-Ming Hsieh (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology) ;
  • Chi-Ting Weng (Department of Civil and Construction Engineering, National Taiwan University of Science and Technology)
  • 투고 : 2022.04.03
  • 심사 : 2022.10.29
  • 발행 : 2023.02.25
⟨ 이전 논문 다음 논문 ⟩

초록

After an earthquake, information regarding potential damage to buildings close to the epicenter is very important during the initial emergency response. This study proposes the use of crowdsourced measured acceleration response data collected from smartphones located within buildings to perform system identification of building structures during earthquake excitations, and the feasibility of the proposed approach is studied. The principal advantage of using crowdsourced smartphone data is the potential to determine the condition of millions of buildings without incurring hardware, installation, and long-term maintenance costs. This study's goal is to assess the feasibility of identifying the lowest fundamental natural frequencies of buildings without knowing the orientations and precise locations of the crowds' smartphones in advance. Both input-output and output-only identification methods are used to identify the lowest fundamental natural frequencies of numerical finite element models of a real building structure. The effects of time synchronization and the orientation alignment between nearby smartphones on the identification results are discussed, and the proposed approach's performance is verified using large-scale shake table tests of a scaled steel building. The presented results illustrate the potential of using crowdsourced smartphone data with the proposed approach to identify the lowest fundamental natural frequencies of building structures, information that should be valuable in making emergency response decisions.

키워드

과제정보

This work was financially supported by the Taiwan Building Technology Center from The Featured Areas Research Center Program within the framework of the Higher Education Sprout Project by the Ministry of Education in Taiwan.

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