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- 山本 憲司
- 東海大学建築都市学部建築学科
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- Chi-tathon KUPWIWAT
- 京都大学大学院工学研究科
書誌事項
- タイトル別名
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- STRUCTURAL MORPHOGENESIS OF GRID SHELLS BY USING AUTONOMOUS DECENTRALIZED SYSTEM AND REINFORCEMENT LEARNING
抄録
<p>This paper attempts to apply reinforcement learning to the structural morphogenesis problem of grid shells. The proposed method uses an autonomous decentralized system, which has low computational cost and high versatility because it does not require re-training when the analysis model is changed. Iterative calculations on nodal neighborhood models are performed for the structural analysis, and Q-learning is used to learn shape modification rules that reduce external force work. Numerical examples show the results of the agent generating grid shells with high stiffness. It is also shown that it is possible to generate shells with an unlearned number of grids.</p>
収録刊行物
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- 日本建築学会構造系論文集
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日本建築学会構造系論文集 88 (811), 1360-1368, 2023-09-01
日本建築学会
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詳細情報 詳細情報について
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- CRID
- 1390297305329077120
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- ISSN
- 18818153
- 13404202
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- 本文言語コード
- ja
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- データソース種別
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- JaLC
- Crossref
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- 抄録ライセンスフラグ
- 使用不可