• Search Research Projects
  • Search Researchers
  • How to Use
  1. Back to previous page

Yamaguchi Takahiro  山口 貴浩

ORCIDConnect your ORCID iD *help
Researcher Number 30976204
Other IDs
Affiliation (Current) 2026: 東京大学, 生産技術研究所, 特任助教
Affiliation (based on the past Project Information) *help 2023 – 2025: 東京大学, 生産技術研究所, 特任助教
Review Section/Research Field
Principal Investigator
Basic Section 22010:Civil engineering material, execution and construction management-related / 0303:Civil engineering, social systems engineering, safety engineering, disaster prevention engineering, and related fields
Keywords
Principal Investigator
深層学習 / 非破壊検査 / インフラ状態評価 / 土木情報システム / 強化学習 / データ同化 / 地震応答 / 非線形解析 / E-Defense / 物理現象を考慮した深層学習 … More / 構造ヘルスモニタリング / 物理現象に基づく深層学習 / 非線形構造逆解析 / カオス理論 / Raspberry Pi / 振動台実験 / 地震工学 / RC橋脚 / 非線形動力学 / 構造逆解析 Less
  • Research Projects

    (2 results)
  • Research Products

    (7 results)
  •  Neural Architecture Search for Infrastructure Condition AssessmentPrincipal Investigator

    • Principal Investigator
      山口 貴浩
    • Project Period (FY)
      2025 – 2026
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 22010:Civil engineering material, execution and construction management-related
    • Research Institution
      The University of Tokyo
  •  A Physic-informed Neural Network for Structural Identification and Validation with Full-scale Shaking Table TestsPrincipal Investigator

    • Principal Investigator
      Yamaguchi Takahiro
    • Project Period (FY)
      2023 – 2024
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Review Section
      0303:Civil engineering, social systems engineering, safety engineering, disaster prevention engineering, and related fields
    • Research Institution
      The University of Tokyo

All 2025 2024 2023

All Journal Article Presentation

  • [Journal Article] A Physics-Informed Neural Network for the Nonlinear Damage Identification in a Reinforced Concrete Bridge Pier Using Seismic Responses2024

    • Author(s)
      Yamaguchi Takahiro、Mizutani Tsukasa
    • Journal Title

      Structural Control and Health Monitoring

      Volume: 2024 Issue: 1 Pages: 1-22

    • DOI

      10.1155/2024/5532909

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K19133
  • [Journal Article] Predicting the Maximum Displacements of Structures during an Earthquake based on Chaos Theory2024

    • Author(s)
      Yamaguchi Takahiro、Mizutani Tsukasa
    • Journal Title

      Engineering Structures

      Volume: 318 Pages: 118794-118794

    • DOI

      10.1016/j.engstruct.2024.118794

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K19133
  • [Journal Article] Quantitative road crack evaluation by a U‐Net architecture using smartphone images and Lidar data2023

    • Author(s)
      Yamaguchi Takahiro、Mizutani Tsukasa
    • Journal Title

      Computer-Aided Civil and Infrastructure Engineering

      Volume: 39 Issue: 7 Pages: 963-982

    • DOI

      10.1111/mice.13071

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-23K19133
  • [Presentation] Damage Identification of a Reinforced Concrete Bridge Pier after an Earthquake based on a Physics-informed Neural Network2025

    • Author(s)
      Takahiro Yamaguchi
    • Organizer
      International Association for Bridge and Structural Engineering (IABSE)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K19133
  • [Presentation] A Novel Approach for Detecting Road Cracks Interpreting Background Images using Convolutional Neural Networks and a Self-organizing Map2023

    • Author(s)
      Takahiro Yamaguchi, Tsukasa Mizutani
    • Organizer
      One Health One World 2023
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K19133
  • [Presentation] スマートフォン画像の深層学習とLidarデータによる路面クラックの定量的評価2023

    • Author(s)
      山口貴浩
    • Organizer
      土木学会全国大会第78回年次学術講演会
    • Data Source
      KAKENHI-PROJECT-23K19133
  • [Presentation] A Deep Learning Approach for Road Crack Evaluation using Smartphones2023

    • Author(s)
      Takahiro Yamaguchi, Tsukasa Mizutani
    • Organizer
      The 3rd ZHITU Symposium on Advances in Civil Engineering
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-23K19133

URL: 

Are you sure that you want to link your ORCID iD to your KAKEN Researcher profile?
* This action can be performed only by the researcher himself/herself who is listed on the KAKEN Researcher’s page. Are you sure that this KAKEN Researcher’s page is your page?

この研究者とORCID iDの連携を行いますか?
※ この処理は、研究者本人だけが実行できます。

Information User Guide FAQ News Terms of Use Attribution of KAKENHI

Powered by NII kakenhi