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Nonami Ryota  野波 諒太

ORCIDConnect your ORCID iD *help
Researcher Number 70849562
Other IDs
Affiliation (Current) 2026: 呉工業高等専門学校, 機械工学分野, 准教授
Affiliation (based on the past Project Information) *help 2024 – 2025: 呉工業高等専門学校, 機械工学分野, 准教授
2023: 呉工業高等専門学校, 機械工学分野, 助教
Review Section/Research Field
Principal Investigator
Basic Section 24020:Marine engineering-related
Except Principal Investigator
Basic Section 22010:Civil engineering material, execution and construction management-related / Basic Section 24020:Marine engineering-related
Keywords
Principal Investigator
船舶設計 / DDQN / 船舶 / 構造最適化 / AI / 深層強化学習
Except Principal Investigator
力学特性 / 凝結時間 / スランプフロー / 高流動コンクリート … More / アルカリ活性材料 / 船舶構造 / 最適化 / 接続部材反力推定 / 船体構造解析 / 強化学習最適化 / 接続部材反推定 / 領域有限要素法 / QL4要素 / 船体構造 / 構造最適設計 / 領域有限要素 Less
  • Research Projects

    (3 results)
  • Research Products

    (7 results)
  • Co-Researchers

    (3 People)
  •  アルカリ活性材料ベースの高流動コンクリートの施工性と長期耐久性の評価

    • Principal Investigator
      三村 陽一
    • Project Period (FY)
      2025 – 2027
    • Research Category
      Grant-in-Aid for Scientific Research (C)
    • Review Section
      Basic Section 22010:Civil engineering material, execution and construction management-related
    • Research Institution
      National Institute of Technology (KOSEN), Kure College
  •  領域有限要素法と接続部材反力推定を用いた船舶全体構造の最適化に関する研究

    • Principal Investigator
      北村 充
    • Project Period (FY)
      2024 – 2025
    • Research Category
      Grant-in-Aid for Scientific Research (B)
    • Review Section
      Basic Section 24020:Marine engineering-related
    • Research Institution
      Hiroshima University
  •  Development of a Structural Optimization Method for the Midship Section of a Ship with Deep Reinforcement Learning AI incorporating Principal Dimensions as Design VariablesPrincipal Investigator

    • Principal Investigator
      野波 諒太
    • Project Period (FY)
      2023 – 2025
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 24020:Marine engineering-related
    • Research Institution
      National Institute of Technology (KOSEN), Kure College

All 2025 2024 2023

All Journal Article Presentation

  • [Journal Article] Structural optimization of stiffened panel structures with continuous and discrete design variables using deep reinforcement learning2025

    • Author(s)
      NONAMI Ryota、KITAMURA Mitsuru
    • Journal Title

      Transactions of the JSME (in Japanese)

      Volume: 91 Issue: 946 Pages: 25-00020-25-00020

    • DOI

      10.1299/transjsme.25-00020

    • ISSN
      2187-9761
    • Language
      Japanese
    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-23K13508
  • [Presentation] 強化学習済みAIの再利よる板厚を設計変数とした構造最適化2024

    • Author(s)
      渡邊 良太、野波 諒太
    • Organizer
      第29回計算工学講演会
    • Data Source
      KAKENHI-PROJECT-23K13508
  • [Presentation] 強化学習済みAIの再利よる板厚を設計変数とした構造最適化2024

    • Author(s)
      渡邊 良太,野波 諒太
    • Organizer
      第29回計算工学講演会
    • Data Source
      KAKENHI-PROJECT-23K21008
  • [Presentation] 深層強化学習AIによる線形変形を伴う構造最適化法の提案2024

    • Author(s)
      大岡 颯,野波 諒太
    • Organizer
      第29回計算工学講演会
    • Data Source
      KAKENHI-PROJECT-23K21008
  • [Presentation] 深層強化学習AIによる非線形変形を伴う構造最適化法の提案2024

    • Author(s)
      大岡 颯、野波 諒太
    • Organizer
      第29回計算工学講演会
    • Data Source
      KAKENHI-PROJECT-23K13508
  • [Presentation] 深層強化学習AIによる板厚最適化手法の提案2023

    • Author(s)
      野波諒太
    • Organizer
      M&M・CMD 若手シンポジウム 2023
    • Data Source
      KAKENHI-PROJECT-23K21008
  • [Presentation] 深層強化学習AIによる板厚最適化手法の提案2023

    • Author(s)
      野波諒太
    • Organizer
      M&M・CMD 若手シンポジウム 2023
    • Data Source
      KAKENHI-PROJECT-23K13508
  • 1.  北村 充 (40195293)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 2.  山本 剛大 (00802860)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results
  • 3.  三村 陽一 (50509528)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 0 results

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