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Development and implementation of a real-time seismic evaluation system for disaster prevention facilities

Research Project

Project/Area Number 19H02223
Research Category

Grant-in-Aid for Scientific Research (B)

Allocation TypeSingle-year Grants
Section一般
Review Section Basic Section 22020:Structure engineering and earthquake engineering-related
Research InstitutionToyohashi University of Technology

Principal Investigator

SAITO TAIKI  豊橋技術科学大学, 工学(系)研究科(研究院), 教授 (00225715)

Co-Investigator(Kenkyū-buntansha) 林 和宏  千葉大学, 大学院工学研究院, 准教授 (40725636)
章 忠  広島工業大学, 工学部, 教授 (50254579)
Project Period (FY) 2019-04-01 – 2022-03-31
Project Status Completed (Fiscal Year 2021)
Budget Amount *help
¥16,900,000 (Direct Cost: ¥13,000,000、Indirect Cost: ¥3,900,000)
Fiscal Year 2021: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2020: ¥5,200,000 (Direct Cost: ¥4,000,000、Indirect Cost: ¥1,200,000)
Fiscal Year 2019: ¥6,500,000 (Direct Cost: ¥5,000,000、Indirect Cost: ¥1,500,000)
Keywords地震被害 / 防災拠点建物 / 耐震診断 / モニタリング / シミュレーション解析 / 巨大地震 / 強震観測 / センシング / シミュレーション / 画像処理 / 地震観測 / ひび割れ検出 / 地震対策支援
Outline of Research at the Start

近年の地震において、市役所等が被災して機能不全に陥ったケースがあった。そこで、私たちは、防災拠点施設にIT強震計を設置し、独自開発のシミュレーション技術と組み合わせることで地震後に建物の健全性を即時に診断できるシステムを開発し、複数の市役所や消防署に実装してきた。本研究では、その成果を発展させ、構造被害だけでなく建物の機能や室内の安全性を診断できるようにシステムを拡張する。また、スマートフォン・アプリやVR(仮想現実)技術を活用して、建物管理者等に分かりやすく診断結果を伝達する技術を開発する。

Outline of Final Research Achievements

In this research, a system that can immediately diagnose the soundness of buildings after an earthquake was developed by installing IT strong-motion seismographs at disaster prevention base facilities and combining with our original simulation technology. The system has been modified to operate on a cloud computer, automating all the processes of uploading observation records, diagnosing the earthquake resistance of buildings, and sending diagnosis results by e-mail. Furthermore, a new method for efficient and accurate estimation of building model parameters and building damage by introducing machine learning was developed.

Academic Significance and Societal Importance of the Research Achievements

本研究で開発されたリアルタイム耐震診断システムは、建物にIT強震計を設置し、地震波が検知された場合に、ただちに建物解析による損傷診断を行い、診断結果を建物管理者らに送るものである。本研究期間で、東三河地域の5都市すべての市庁舎にシステムを実装し、これまでに複数の地震でシステムが稼働して、自治体の初期対応に生かされている。東三河地域をモデルケースとして実績を上げることで、さらに全国的にシステムが展開されることが期待される。

Report

(4 results)
  • 2021 Annual Research Report   Final Research Report ( PDF )
  • 2020 Annual Research Report
  • 2019 Annual Research Report
  • Research Products

    (9 results)

All 2022 2021 2020 2019

All Journal Article (8 results) (of which Int'l Joint Research: 1 results,  Peer Reviewed: 8 results,  Open Access: 1 results) Presentation (1 results)

  • [Journal Article] A Deep Learning-Based Integration Method for Hybrid Seismic Analysis of Building Structures: Numerical Validation2022

    • Author(s)
      Mekaoui Nabil、Saito Taiki
    • Journal Title

      Applied Sciences

      Volume: 12 Issue: 7 Pages: 3266-3266

    • DOI

      10.3390/app12073266

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Structural Response Prediction for Damage Identification Using Wavelet Spectra in Convolutional Neural Network2021

    • Author(s)
      Moscoso Alcantara Edisson Alberto、Bong Michelle Diana、Saito Taiki
    • Journal Title

      Sensors

      Volume: 21 Issue: 20 Pages: 6795-6795

    • DOI

      10.3390/s21206795

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Real-Time Parameter Identification of Seismically Excited Building Structures Using Response Surface Method and Bayesian Optimization Technique :Case study2021

    • Author(s)
      N. Mekaoui;T. Horioka;K. Hayashi;T. Saito
    • Journal Title

      日本建築学会構造工学論文集

      Volume: 3 Pages: 643-654

    • Related Report
      2021 Annual Research Report
    • Peer Reviewed
  • [Journal Article] REAL-TIME PARAMETER IDENTIFICATION OF SEISMICALLY EXCITED BUILDING STRUCTURES USING RESPONSE SURFACE METHOD AND BAYESIAN OPTIMIZATION TECHNIQUE: CASE STUDY2021

    • Author(s)
      Nabil MEKAOUI, Tomoki HORIOKA, Kazuhiro HAYASHI, Taiki SAITO
    • Journal Title

      構造工学論文集

      Volume: 67B Pages: 643-653

    • Related Report
      2020 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Cracks in Bridge Floor Detected by 2-Dimensional Complex Discrete Wavelet Packet Transform2020

    • Author(s)
      Zhong Zhang, Ohzora Hamata, Takuma Akiduki, Tomoaki Mashimo, Taiki Saito and Kazuhiro Hayashi
    • Journal Title

      International Journal of Innovative Computing, Information and Control

      Volume: 16 Issue: 06 Pages: 2007

    • DOI

      10.24507/ijicic.16.06.2007

    • ISSN
      1349-4198
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access / Int'l Joint Research
  • [Journal Article] 防災拠点建物を対象としたリアルタイム耐震診断システムの社会実装-市役所庁舎へのシステム導入とその運用状況2019

    • Author(s)
      林和宏・齊藤大樹
    • Journal Title

      日本地震工学会論文集

      Volume: 19 Pages: 378-387

    • NAID

      130007719129

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Implementation of real-time seismic diagnostic system on emergency management center buildings: system introduction and operational status on municipal government office buildings2019

    • Author(s)
      K. Hayashi,T. Saito, T. Horioka, E. Sato
    • Journal Title

      Journal of Civil Structural Health Monitoring

      Volume: 9 Pages: 1-13

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Journal Article] Implementation of Real-time Seismic Diagnostic System on Emergency Management Center Buildings: In Case of the 2018 Osaka earthquake2019

    • Author(s)
      K. Hayashi, T. Saito
    • Journal Title

      International Journal of Structural and Civil Engineering Research

      Volume: 8 Pages: 159-164

    • Related Report
      2019 Annual Research Report
    • Peer Reviewed
  • [Presentation] 防災拠点建物における残存耐震性の診断システムの開発2019

    • Author(s)
      堀岡知樹,齊藤大樹,林和宏
    • Organizer
      日本建築学会大会学術講演
    • Related Report
      2019 Annual Research Report

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Published: 2019-04-18   Modified: 2023-01-30  

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