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FUJITA SHINNOSUKE  藤田 慎之輔

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… Alternative Names

藤田 慎之輔  フジタ シンノスケ

Fujita Shinnosuke  藤田 慎之輔

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Researcher Number 80775958
Other IDs
Affiliation (Current) 2025: 近畿大学, 工学部, 准教授
Affiliation (based on the past Project Information) *help 2022 – 2023: 北九州市立大学, 国際環境工学部, 准教授
2019 – 2020: 北九州市立大学, 国際環境工学部, 准教授
2018: 北九州市立大学, 国際環境工学部, 講師
2016 – 2017: 東京工業大学, 科学技術創成研究院, 助教
Review Section/Research Field
Principal Investigator
Basic Section 23010:Building structures and materials-related / Building structures/Materials
Except Principal Investigator
Medium-sized Section 23:Architecture, building engineering, and related fields
Keywords
Principal Investigator
大規模非線形問題 / 複合非線形 / 材料非線形 / 加速勾配法 / 幾何学的非線形 / 大規模問題 / 適応再スタート付き加速勾配法 / ニューラルネットワーク / 幾何学的非線形解析 / 構造形態創生 … More / 機械学習 / 最適化 / ラインサーチ / スカイライン法 / 剛性方程式 / 全ポテンシャルエネルギー最小化 / 加速付き勾配法 / ポテンシャルエネルギー最小化 … More
Except Principal Investigator
バクテリア / 浮遊選鉱法 / 木質バイオマス燃焼灰 / 自己治癒 / ジオポリマー Less
  • Research Projects

    (4 results)
  • Research Products

    (20 results)
  • Co-Researchers

    (6 People)
  •  Predictive modeling of dynamic and nonlinear structural behavior by machine learning and its application to computational morphogenesisPrincipal Investigator

    • Principal Investigator
      藤田 慎之輔
    • Project Period (FY)
      2022 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 23010:Building structures and materials-related
    • Research Institution
      The University of Kitakyushu
  •  Development of smart and functional (self-healing and self-sensing) low carbon geopolymer concrete using modified woody biomass combustion ash

    • Principal Investigator
      高巣 幸二
    • Project Period (FY)
      2022 – 2026
    • Research Category
      Fund for the Promotion of Joint International Research (Fostering Joint International Research (B))
    • Review Section
      Medium-sized Section 23:Architecture, building engineering, and related fields
    • Research Institution
      The University of Kitakyushu
  •  Development of efficient nonlinear analysis method for large and complicated building structurePrincipal Investigator

    • Principal Investigator
      Shinnosuke Fujita
    • Project Period (FY)
      2018 – 2020
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 23010:Building structures and materials-related
    • Research Institution
      The University of Kitakyushu
  •  Development of efficient nonlinear analysis method using accelerated gradient method for three dimensional frame structuresPrincipal Investigator

    • Principal Investigator
      Fujita Shinnosuke
    • Project Period (FY)
      2016 – 2017
    • Research Category
      Grant-in-Aid for Research Activity Start-up
    • Research Field
      Building structures/Materials
    • Research Institution
      Tokyo Institute of Technology

All 2024 2023 2022 2021 2020 2019 2018 2017 2016

All Journal Article Presentation

  • [Journal Article] PREDICTION OF NONLINEAR BUCKLING LOAD AND STRUCTURAL OPTIMIZATION OF SINGLE-LAYER LATTICE SHELLS USING MACHINE LEARNING2024

    • Author(s)
      YABUUCHI Yuma、FUJITA Shinnosuke
    • Journal Title

      Journal of Structural and Construction Engineering (Transactions of AIJ)

      Volume: 89 Issue: 815 Pages: 75-85

    • DOI

      10.3130/aijs.89.75

    • ISSN
      1340-4202, 1881-8153
    • Year and Date
      2024-01-01
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Journal Article] APPLICATION OF ACCELERATED GRADIENT METHOD TO EQUILIBRIUM ANALYSIS OF TRUSSES WITH NONLINEAR ELASTIC MATERIALS2019

    • Author(s)
      藤田慎之輔, 寒野善博
    • Journal Title

      Journal of Structural and Construction Engineering (Transactions of AIJ)

      Volume: 84 Issue: 763 Pages: 1223-1230

    • DOI

      10.3130/aijs.84.1223

    • NAID

      130007719953

    • ISSN
      1340-4202, 1881-8153
    • Language
      Japanese
    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-18K13864
  • [Presentation] 機械学習により材料非線形性を考慮したラチスシェルの形状最適化2023

    • Author(s)
      薮内佑馬,藤田慎之輔
    • Organizer
      コロキウム構造形態の解析と創生2023
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] 機械学習を用いたラチスシェルの線形座屈荷重とひずみエネルギーの多目的最適化2023

    • Author(s)
      薮内佑馬,藤田慎之輔
    • Organizer
      第62回日本建築学会九州支部研究発表会
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] Structural optimization of lattice shells with geometric nonlinearity using machine learning2023

    • Author(s)
      Y. Yabuuchi, S. Fujita
    • Organizer
      IASS 2023 Annual Symposium, Melbourne, Australia
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] 機械学習により幾何学的非線形性を考慮したラチスシェルの形状最適化2023

    • Author(s)
      薮内佑馬,藤田慎之輔
    • Organizer
      日本建築学会大会(関西)構造I
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] 機械学習を用いた単層ラチスシェルの非線形力学特性の予測2023

    • Author(s)
      薮内佑馬,藤田慎之輔
    • Organizer
      第46回情報・システム・利用・技術シンポジウム
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] 機械学習を用いたラチスシェルの線形弾性範囲内における応力予測および形状最適化2022

    • Author(s)
      薮内佑馬,藤田慎之輔
    • Organizer
      コロキウム構造形態の解析と創生2022
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] Cross-sectional optimization of latticed shells consisting of steel pipes and H-beams solved as a continuous variable problem2022

    • Author(s)
      N. Tamura, S. Fujita
    • Organizer
      ACSMO2022, Matsue, Japan
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] Topology optimization of structural frames considering various non-mechanical performance formulated as MISOCP2022

    • Author(s)
      N. Okuzono, S. Fujita
    • Organizer
      15th World Congress on Computational Mechanics & 8th Asian Pacific Congress on Computational Mechanics (WCCM-APCOM 2022), Yokohama, Japan
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] Global topology optimization of frame structures considering the density of members2022

    • Author(s)
      N. Okuzono, S. Fujita
    • Organizer
      ACSMO2022, Matsue, Japan
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] 機械学習を用いたラチスシェルの幾何学的非線形性状の予測モデルの構築2022

    • Author(s)
      田村直大,藤田慎之輔
    • Organizer
      コロキウム構造形態の解析と創生2022
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] 非力学的性能を考慮した平面骨組のトポロジー最適化2022

    • Author(s)
      奥薗尚人,藤田慎之輔
    • Organizer
      コロキウム構造形態の解析と創生2022
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] Development of a prediction model for collapse load factor by machine learning and its application to shape optimization problems2022

    • Author(s)
      S. Fujita, T. Nishie
    • Organizer
      ACSMO2022, Matsue, Japan
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-22K04416
  • [Presentation] Numerical experiments on elastic analysis of structural frames using gradient and skyline methods2021

    • Author(s)
      K. Shibu and S. Fujita
    • Organizer
      第60回日本建築学会九州支部研究発表会,2021.3
    • Data Source
      KAKENHI-PROJECT-18K13864
  • [Presentation] Numerical experiments on equilibrium analysis of structures by gradient methods2020

    • Author(s)
      S. Fujita
    • Organizer
      Computational Engineering and Science for Safety and Environmental Problems (COMPSAFE2020), Kobe, Japan, 2020.12
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-18K13864
  • [Presentation] 勾配法による構造物の釣合解析に関する数値実験2019

    • Author(s)
      藤井文人,藤田慎之輔
    • Organizer
      第42回情報・システム・利用・技術シンポジウム
    • Data Source
      KAKENHI-PROJECT-18K13864
  • [Presentation] 構造物の釣合解析への最適化技術の適用2018

    • Author(s)
      藤田慎之輔,寒野善博
    • Organizer
      コロキウム構造形態の解析と創生2018
    • Data Source
      KAKENHI-PROJECT-18K13864
  • [Presentation] 加速勾配法による大規模骨組構造の弾性解析2017

    • Author(s)
      山本 発,寒野 善博,藤田 慎之輔
    • Organizer
      日本建築学会大会学術講演会
    • Data Source
      KAKENHI-PROJECT-16H06792
  • [Presentation] 骨組の幾何学的非線形解析に対する加速勾配法2016

    • Author(s)
      藤田慎之輔, 寒野善博, 大崎純
    • Organizer
      日本機械学会 第12回最適化シンポジウム2016 (OPTIS2016)
    • Place of Presentation
      北海道大学
    • Year and Date
      2016-12-06
    • Data Source
      KAKENHI-PROJECT-16H06792
  • 1.  高巣 幸二 (60336948)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  陶山 裕樹 (20507876)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  國枝 陽一郎 (30795943)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 4.  KANNO Yoshihiro
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 2 results
  • 5.  OHSAKI Makoto
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results
  • 6.  YAMAMOTO Hiraku
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 1 results

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