| 研究課題/領域番号 |
23K13454
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| 研究種目 |
若手研究
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| 配分区分 | 基金 |
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| 審査区分 |
小区分23020:建築環境および建築設備関連
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| 研究機関 | 九州大学 |
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研究代表者 |
WANG WEI 九州大学, 総合理工学研究院, 助教 (20968169)
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| 研究期間 (年度) |
2023-04-01 – 2026-03-31
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| 研究課題ステータス |
交付 (2023年度)
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| 配分額 *注記 |
4,550千円 (直接経費: 3,500千円、間接経費: 1,050千円)
2025年度: 910千円 (直接経費: 700千円、間接経費: 210千円)
2024年度: 1,430千円 (直接経費: 1,100千円、間接経費: 330千円)
2023年度: 2,210千円 (直接経費: 1,700千円、間接経費: 510千円)
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| キーワード | Extreme wind speed / Weibull distribution / Gram Charlier series / Urban wind environment / Probability density / Large-eddy simulation / Gust wind speed / Wind environment / Urban morphology / Weather condition |
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| 研究開始時の研究の概要 |
The structure and human safety problems related to gusty wind are important issues. This study aims to develop general statistical methods for estimating the gust wind speed based on the Weibull distribution. The methods will be applicable for different urban morphologies and weather conditions.
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| 研究実績の概要 |
Evaluating extreme wind speed in urban areas is important, since strong winds increase the risk of accidents and injuries of pedestrians. Although several statistical methods were developed to estimate extreme wind in previous studies, their robustness and accuracy remain unclear for the applications on the urban wind environment. In this year, the effectiveness of the Weibull distribution (KB, 2W and 3W) method and the Gram Charlier series (GCS) method was validated. The pedestrian-level wind environments of three idealized urban cases and one actual urban case were analyzed. The validation was performed using time-series data from the large-eddy simulations. The adaptive GCS method (GCS-A) and 3W method (the third-order Weibull distribution method) were found to be robust and accurate.
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| 現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The gusty wind is very dangerous for structures and pedestrians. This research aims to develop general statistical methods for estimating the gust wind speed based on the Weibull distribution. The methods are expected to be general to urban morphologies and weather conditions. In this year, the applicability of the Weibull distribution (KB, 2W and 3W) method and the Gram Charlier series (GCS) method on idealized and actual urban cases were analyzed. The robustness and accuracy of various statistical methods for estimating the extreme wind speed in urban areas were confirmed. Although there are still some remaining issues, the overall progress of the research has been smooth. Future research will proceed gradually according to the outline plan.
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| 今後の研究の推進方策 |
The Weibull distribution method have been developed based on the assumption that the random process of winds can be described by a particular unimodal PDF. However, these methods are less adaptive to the wind speed probability distribution with bimodal shapes. Moreover, the strict assumptions or requirements in the statistical methods also brought difficulties in the practical applications. Consequently, further research aims to develop general statistical methods based on the Weibull distribution by incorporating the mixture distribution function. In addition, the data-driven approach will be applied to connect the analytical study and practical application to relieve the strict assumptions or requirements in the statistical model.
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