Hayashi Kazuki 林和希

Researcher Number	80908757
Other IDs
Affiliation (Current)	2025: 京都大学, 工学研究科, 講師
Affiliation (based on the past Project Information) *help	2021 – 2024: 京都大学, 工学研究科, 助教
Review Section/Research Field	Principal Investigator Basic Section 23010:Building structures and materials-related / 0304:Architecture, building engineering, and related fields Except Principal Investigator Basic Section 23010:Building structures and materials-related
Keywords	Principal Investigator 機械学習 / グラフ理論 / 離散構造 / 篏合 / 非線形問題 / 断面最適化 / 鋼構造平面骨組 / 建築構造最適化 / 教師あり学習 / 強化学習 … More / 離散構造物 / 幾何学的深層学習 / グラフ埋め込み / 構造最適化 … More Except Principal Investigator 不確定性 / 構造設計 / 建築骨組 / 平面骨組 / 立体骨組 / パラメータの不確定性 / 鋼構造骨組 / 機械学習 / 構造最適化 Less

Construction of an AI-supported system for the design and assembly sequence planning of multi-member interlocking jointsPrincipal Investigator
- Principal Investigator
  
  林和希
- Project Period (FY)
  2024 – 2027
- Research Category
  
  Grant-in-Aid for Early-Career Scientists
- Review Section
  
  Basic Section 23010:Building structures and materials-related
- Research Institution
  Kyoto University
Analysis and design of building frames using machine learning considering uncertainty of parameters
- Principal Investigator
  
  大崎純
- Project Period (FY)
  2023 – 2025
- Research Category
  
  Grant-in-Aid for Scientific Research (C)
- Review Section
  
  Basic Section 23010:Building structures and materials-related
- Research Institution
  Kyoto University
Development of a combined method of graph embedding and machine learning for optimal design of skeletal structuresPrincipal Investigator
- Principal Investigator
  
  Hayashi Kazuki
- Project Period (FY)
  2021 – 2022
- Research Category
  
  Grant-in-Aid for Research Activity Start-up
- Review Section
  
  0304:Architecture, building engineering, and related fields
- Research Institution
  Kyoto University

All 2023 2022 2021

All Journal Article Presentation

[Journal Article] Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells2023
- Author(s)
  C. Kupwiwat, K. Hayashi and M. Ohsaki
- Journal Title
  
  Applied Intelligence
  
  Volume: - Issue: 17 Pages: 19809-19826
- DOI
  10.1007/s10489-023-04565-w
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-20H04467, KAKENHI-PROJECT-21K20461
[Journal Article] DEEP DETERMINISTIC POLICY GRADIENT AND GRAPH CONVOLUTIONAL NETWORKS FOR TOPOLOGY OPTIMIZATION OF BRACED STEEL FRAMES2023
- Author(s)
  Chi-tathon Kupwiwat, Yuichi Iwagoe, Kazuki Hayashi, Makoto Ohsaki
- Journal Title
  
  Journal of Structural Engineering B
  
  Volume: 69B Issue: 0 Pages: 129-139
- DOI
  10.3130/aijjse.69B.0_129
- ISSN
  0910-8033, 2436-6285
- Language
  Japanese
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K20461
[Journal Article] Deep reinforcement learning-based critical element identification and demolition planning of frame structures2022
- Author(s)
  Shaojun Zhu, Makoto Ohsaki, Kazuki Hayashi, Shaohan Zong, Xiaonong Guo
- Journal Title
  
  Frontiers of Structural and Civil Engineering
  
  Volume: 16 Issue: 11 Pages: 1397-1414
- DOI
  10.1007/s11709-022-0860-y
- Peer Reviewed / Open Access / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Journal Article] Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells2022
- Author(s)
  Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki
- Journal Title
  
  Frontiers in Built Environment
  
  Volume: 8
- DOI
  10.3389/fbuil.2022.899072
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K20461
[Journal Article] Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning2022
- Author(s)
  K. Hayashi, M. Ohsaki and M. Kotera
- Journal Title
  
  J. Int. Assoc. Shell Spatial. Struct.
  
  Volume: 63-4 Issue: 4 Pages: 232-240
- DOI
  10.20898/j.iass.2022.016
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-20H04467, KAKENHI-PROJECT-21K20461
[Journal Article] Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames2022
- Author(s)
  Hayashi Kazuki、Ohsaki Makoto
- Journal Title
  
  Advanced Engineering Informatics
  
  Volume: 51 Pages: 101512-101512
- DOI
  10.1016/j.aei.2021.101512
- Peer Reviewed / Open Access
- Data Source
  KAKENHI-PROJECT-21K20461, KAKENHI-PROJECT-20H04467
[Presentation] Reinforcement learning and graph representations for optimization of plane steel building frames2023
- Author(s)
  Makoto Ohsaki, Kazuki Hayashi, Chi-tathon Kupwiwat
- Organizer
  the 15th World Congress on Structural and Multidisciplinary Optimisation (WCSMO2023)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Sizing optimization of free-form lattice shells using deep deterministic policy gradient and graph convolutional networks2023
- Author(s)
  Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki
- Organizer
  IASS Symposium 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] ポリシーネットワークを用いた強化学習に基づく鋼構造立体骨組の最適設計2023
- Author(s)
  竹中虎太郎, 山川誠, 林和希
- Organizer
  日本機械学会第33回設計工学・システム部門講演会
- Data Source
  KAKENHI-PROJECT-23K04104
[Presentation] Multi-objective optimization of 10-bar truss using multi-agent reinforcement learning2023
- Author(s)
  Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki
- Organizer
  日本建築学会大会[近畿]
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Isogeometric deep learning framework to predict the structural performance of free-form surfaces2023
- Author(s)
  Kazuki Hayashi, Makoto Ohsaki
- Organizer
  IASS Symposium 2023
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Knowledge extraction of discrete cross-section optimization of planar steel frames using graph-based reinforcement learning2022
- Author(s)
  Kazuki Hayashi, Makoto Ohsaki
- Organizer
  Asian Congress of Structural and Multidisciplinary Optimization (ACSMO)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning2022
- Author(s)
  Kazuki Hayashi, Makoto Ohsaki, Masaya Kotera
- Organizer
  IASS 2022 Symposium affiliated with APCS 2022 conference
- Invited / Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Geometry Optimization of Lattice Shells using GAT-DDPG with Bezier Surface2022
- Author(s)
  Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki
- Organizer
  日本建築学会近畿支部研究発表会
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Graph and machine learning-based approach to prediction of ultimate load of latticed shells considering geometric nonlinearity2022
- Author(s)
  Kazuki Hayashi, Makoto Ohsaki
- Organizer
  15th World Congress on Computational Mechanics (WCCM-XV) 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] グラフ埋め込みと機械学習を用いたトラスの外力仕事予測モデル2022
- Author(s)
  中里桂也, 林和希, 大崎純
- Organizer
  日本建築学会大会[北海道]
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] 離散構造部材の特徴量を抽出するためのグラフ埋め込みを用いた機械学習モデル2022
- Author(s)
  林和希, 大崎純
- Organizer
  第66回理論応用力学講演会
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] ベジエ曲線を用いたカーフベンディングのスリットパターンと梁要素による構造解析モデルの生成手法2022
- Author(s)
  林和希, 大崎純
- Organizer
  日本建築学会大会[北海道]
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Knowledge extraction of discrete cross-section optimization of planar steel frames using graph-based reinforcement learning2022
- Author(s)
  Kazuki Hayashi and Makoto Ohsaki
- Organizer
  Asian Congress of Structural and Multidisciplinary Optimization
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Graph and machine learning-based approach to prediction of ultimate load of latticed shells considering geometric nonlinearity2022
- Author(s)
  Kazuki Hayashi and Makoto Ohsaki
- Organizer
  15th World Congress on Computational Mechanics (WCCM-XV) 8th Asian Pacific Congress on Computational Mechanics (APCOM-VIII)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] グラフ埋め込みと機械学習による単層ラチスシェルの弾性座屈荷重低減係数の予測2022
- Author(s)
  林和希, 大崎純
- Organizer
  日本建築学会近畿支部研究発表会
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] Topology optimization of braced latticed shells using deep deterministic policy gradient and graph convolutional network2022
- Author(s)
  Chi-tathon Kupwiwat, Kazuki Hayashi, Makoto Ohsaki
- Organizer
  Asian Congress of Structural and Multidisciplinary Optimization (ACSMO)
- Int'l Joint Research
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] 安定性の評価とグラフ埋め込みによるトラスの施工経路の強化学習2021
- Author(s)
  小寺正也, 林和希, 大崎純
- Organizer
  第44回情報・システム・利用・技術シンポジウム
- Data Source
  KAKENHI-PROJECT-21K20461
[Presentation] 部材の逐次的な付加・除去過程を訓練した強化学習エージェントによる平面トラスの位相最適化2021
- Author(s)
  林和希, 大崎純
- Organizer
  第44回情報・システム・利用・技術シンポジウム
- Data Source
  KAKENHI-PROJECT-21K20461

1. 大崎純 (40176855)

# of Collaborated Projects: 1 results

# of Collaborated Products: 2 results
2. 山川誠 (50378816)

# of Collaborated Projects: 1 results

# of Collaborated Products: 1 results

Hayashi Kazuki 林 和希

Research Projects

Research Products

Co-Researchers

Construction of an AI-supported system for the design and assembly sequence planning of multi-member interlocking jointsPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Analysis and design of building frames using machine learning considering uncertainty of parameters

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

Development of a combined method of graph embedding and machine learning for optimal design of skeletal structuresPrincipal Investigator

Principal Investigator

Project Period (FY)

Research Category

Review Section

Research Institution

[Journal Article] Deep deterministic policy gradient and graph attention network for geometry optimization of latticed shells2023

Author(s)

Journal Title

DOI

Data Source

[Journal Article] DEEP DETERMINISTIC POLICY GRADIENT AND GRAPH CONVOLUTIONAL NETWORKS FOR TOPOLOGY OPTIMIZATION OF BRACED STEEL FRAMES2023

Author(s)

Journal Title

DOI

ISSN

Language

Data Source

[Journal Article] Deep reinforcement learning-based critical element identification and demolition planning of frame structures2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Deep deterministic policy gradient and graph convolutional network for bracing direction optimization of grid shells2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning2022

Author(s)

Journal Title

DOI

Data Source

[Journal Article] Graph-based reinforcement learning for discrete cross-section optimization of planar steel frames2022

Author(s)

Journal Title

DOI

Data Source

[Presentation] Reinforcement learning and graph representations for optimization of plane steel building frames2023

Author(s)

Organizer

Data Source

[Presentation] Sizing optimization of free-form lattice shells using deep deterministic policy gradient and graph convolutional networks2023

Author(s)

Organizer

Data Source

[Presentation] ポリシーネットワークを用いた強化学習に基づく鋼構造立体骨組の最適設計2023

Author(s)

Organizer

Data Source

[Presentation] Multi-objective optimization of 10-bar truss using multi-agent reinforcement learning2023

Author(s)

Organizer

Data Source

[Presentation] Isogeometric deep learning framework to predict the structural performance of free-form surfaces2023

Author(s)

Organizer

Data Source

[Presentation] Knowledge extraction of discrete cross-section optimization of planar steel frames using graph-based reinforcement learning2022

Author(s)

Organizer

Data Source

[Presentation] Assembly sequence optimization of spatial trusses using graph embedding and reinforcement learning2022

Author(s)

Hayashi Kazuki 林和希

[Presentation] 部材の逐次的な付加・除去過程を訓練した強化学習エージェントによる平面トラスの位相最適化2021