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Proposal for Practical Application of Extraction of Weak Points against Seepage and Inspection Method for Improving Maintenance Technology of River Levees.

Research Project

Project/Area Number 18K04347
Research Category

Grant-in-Aid for Scientific Research (C)

Allocation TypeMulti-year Fund
Section一般
Review Section Basic Section 22030:Geotechnical engineering-related
Research InstitutionOkayama University

Principal Investigator

Takeshita Yuji  岡山大学, 環境生命科学研究科, 教授 (90188178)

Co-Investigator(Kenkyū-buntansha) 岩田 徹  岡山大学, 環境生命科学研究科, 准教授 (10304338)
金 秉洙  岡山大学, 環境生命科学研究科, 准教授 (90648601)
Project Period (FY) 2018-04-01 – 2021-03-31
Project Status Completed (Fiscal Year 2020)
Budget Amount *help
¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2020: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2019: ¥1,690,000 (Direct Cost: ¥1,300,000、Indirect Cost: ¥390,000)
Fiscal Year 2018: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Keywords河川堤防 / 浸透 / 現地計測 / 実効雨量 / 土中水分量 / 原位置透水試験 / 深層学習 / ニューラルネットワーク / 浸透流 / 降雨浸透 / 浸透特性値 / 間隙水圧 / 不飽和土 / 現場計測
Outline of Final Research Achievements

In order to develop a method for monitoring seepage behavior in river levees and a method for constructing levee models that can faithfully reproduce the measured data, long-term monitoring of seepage behavior in actual river levees due to river water and rainfall was conducted. A large amount of measurement data was used to train a neural network using deep learning, and an AI system was constructed to predict the seepage behavior in the levee during runoff.
In addition, the effective rainfall was used as an index to evaluate the rainfall infiltration behavior in the levee, and the evaluation of soil moisture behavior in the levee surface area was attempted by calculating the effective rainfall according to the cumulative rainfall and the position of the levee slope. In addition, a simplified in-situ permeability test apparatus for measuring the field saturated hydraulic conductivity of the levee surface layer was developed, and its usefulness and validity were verified.

Academic Significance and Societal Importance of the Research Achievements

近年,我が国で頻発している堤防の破堤による甚大な災害の防止と軽減は,国民から強く求められている重要な研究課題である。そのため,堤防内での丁寧な動態観測と計測データ分析が不可欠であり,工学的に十分な精度を有し,実行可能性の高いモニタリングを実施してデータを蓄積することによって,河川堤防調査技術の向上に貢献することが望まれる。
本研究成果は,堤防内の浸透挙動の動態計測に基づく堤体の弱部区間の推定とその浸透特性値の原位置測定を行って,浸透現象に対する堤体の安全性評価を行う「系統的かつ客観的な堤防調査・監視方法」に寄与するものであり,河川堤防の維持管理技術開発に対しての波及効果が期待される。

Report

(4 results)
  • 2020 Annual Research Report   Final Research Report ( PDF )
  • 2019 Research-status Report
  • 2018 Research-status Report
  • Research Products

    (12 results)

All 2021 2020 2019

All Journal Article (2 results) (of which Peer Reviewed: 2 results,  Open Access: 1 results) Presentation (10 results) (of which Int'l Joint Research: 1 results,  Invited: 1 results)

  • [Journal Article] QUASI-REAL-TIME PREDICTION OF SEEPAGE FLOW BEHAVIOR IN RIVER LEVEE DURING FLOOD BY ARTIFICIAL NEURAL NETWORK USING DEEP LEARNING2020

    • Author(s)
      TAKESHITA Yuji、TORIGOE Yusuke
    • Journal Title

      Journal of Japan Society of Civil Engineers, Ser. C (Geosphere Engineering)

      Volume: 76 Issue: 4 Pages: 340-349

    • DOI

      10.2208/jscejge.76.4_340

    • NAID

      130007928302

    • ISSN
      2185-6516
    • Related Report
      2020 Annual Research Report
    • Peer Reviewed / Open Access
  • [Journal Article] 出水時における河川堤防内の浸透挙動の計測事例2019

    • Author(s)
      竹下祐二・片山頌嵩・鳥越友輔・佐藤亜海
    • Journal Title

      土木学会論文集B1(水工学,特集:平成30年西日本豪雨災害特別企画)

      Volume: 75 Pages: 155-164

    • NAID

      130007769842

    • Related Report
      2019 Research-status Report
    • Peer Reviewed
  • [Presentation] 深層学習を用いた降雨時における河川堤防内の土中水分動態の予測方法2021

    • Author(s)
      竹下祐二,川田勇希,山本純也
    • Organizer
      第56回地盤工学研究発表会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 再帰型ニューラルネットワークを用いた河川堤防内水位の変動予測に関する考察2020

    • Author(s)
      竹下祐二,山本純也,鳥越友輔
    • Organizer
      第8回河川堤防技術シンポジウム
    • Related Report
      2020 Annual Research Report
  • [Presentation] 土中水分動態計測による河川堤防内の降雨浸透挙動に関する考察2020

    • Author(s)
      竹下祐二,山本純也,鳥越友輔,入江大輝
    • Organizer
      第55回地盤工学研究発表会
    • Related Report
      2020 Annual Research Report
  • [Presentation] 土中水分動態計測による河川堤防内の降雨浸透挙動に関する考察2020

    • Author(s)
      竹下祐二・山本純也・鳥越友輔・入江大輝
    • Organizer
      第55回地盤工学研究発表会
    • Related Report
      2019 Research-status Report
  • [Presentation] 深層学習を用いた出水時における河川堤防内水位の変動予測2019

    • Author(s)
      竹下祐二・鳥越友輔・山本純也・入江大輝
    • Organizer
      第7回河川堤防技術シンポジウム
    • Related Report
      2019 Research-status Report
  • [Presentation] ニューラルネットワークを用いた河川堤防内の浸透挙動の予測方法2019

    • Author(s)
      竹下祐二・鳥越友輔・片山頌嵩・佐藤亜海
    • Organizer
      第54回地盤工学研究発表会
    • Related Report
      2019 Research-status Report
  • [Presentation] 河川堤防の浸透挙動計測に基づいた浸透流解析モデルの作成に関する考察2019

    • Author(s)
      竹下祐二・片山頌嵩・鳥越友輔・佐藤亜海
    • Organizer
      第54回地盤工学研究発表会
    • Related Report
      2019 Research-status Report
  • [Presentation] ニューラルネットワークを用いた河川堤防内の浸透挙動の予測方法2019

    • Author(s)
      竹下祐二,鳥越友輔,片山頌嵩,佐藤亜海
    • Organizer
      第54回地盤工学研究発表会
    • Related Report
      2018 Research-status Report
  • [Presentation] 河川堤防の浸透挙動計測に基づいた浸透流解析モデルの作成に関する考察2019

    • Author(s)
      竹下祐二,片山頌嵩,鳥越友輔,佐藤亜海
    • Organizer
      第54回地盤工学研究発表会
    • Related Report
      2018 Research-status Report
  • [Presentation] Field techniques for measuring soil hydraulic properties in unsaturated soils2019

    • Author(s)
      Yuji TAKESHITA
    • Organizer
      The 7th Asia-Pacific Conference On Unsaturated Soils
    • Related Report
      2018 Research-status Report
    • Int'l Joint Research / Invited

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Published: 2018-04-23   Modified: 2022-01-27  

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