2023 Fiscal Year Final Research Report
Efficient hybrid control method for snow accumulation in built environment based on physical modeling of snow and ice
Project/Area Number |
20H02315
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Research Category |
Grant-in-Aid for Scientific Research (B)
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Allocation Type | Single-year Grants |
Section | 一般 |
Review Section |
Basic Section 23020:Architectural environment and building equipment-related
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Research Institution | Niigata Institute of Technology |
Principal Investigator |
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Co-Investigator(Kenkyū-buntansha) |
五十嵐 賢次 新潟工科大学, 工学部, 准教授 (20715180)
涌井 将貴 新潟工科大学, 工学部, 准教授 (40778205)
本吉 弘岐 国立研究開発法人防災科学技術研究所, 雪氷防災研究部門, 主任研究員 (70571462)
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Project Period (FY) |
2020-04-01 – 2024-03-31
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Keywords | 積雪分布 / モデリング / CFD / 克雪建築 / 設計支援 |
Outline of Final Research Achievements |
Physical snow and ice modeling methods were developed to predict snow accumulation in built-up areas with high accuracy. In particular, the accuracy was improved based on detailed comparison and validation with observation results conducted by the applicant themselve. The model also incorporates snow weight predictions based on a heat balance model, which is a major feature of this method. Furthermore, in order to apply the developed physical snow and ice modeling simulation to a real city, the model was incorporated into an open source software and improved to handle a 3D city model that is being developed and released by the Ministry of Land, Infrastructure, Transport and Tourism. It was confirmed that the developed simulation model can be used to study effective methods of controlling snow accumulation in complex urban architectural spaces.
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Free Research Field |
都市環境防災工学
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Academic Significance and Societal Importance of the Research Achievements |
雪氷物理モデリングの精度向上は、雪害対策や建物の安全性を評価する際に、より正確な情報を提供することを可能にする。これは、人命や財産の損失を防ぐことにつながる。また建物の屋根雪重量の予測は、雪害対策や建物の安全性を評価する際に、より詳細な情報を提供することを可能にする。これは、建物の倒壊を防ぐことにつながると期待される。さらにオープンソースソフトウェアへの組み込みは、雪氷物理モデリングに関する研究の活性化につながる。これは、雪害対策や建物の安全性を評価する技術の開発を促進するであろう。
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