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Comparisons of Statistics for Wind Speeds Around an Isolated Building Determined by Wind-tunnel Experiment and Numerical Simulation
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- T. Tong
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
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- Y. Li
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Faculty of Engineering Sciences, Kyushu University
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- W. Wang
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Faculty of Engineering Sciences, Kyushu University
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- Ikegaya Naoki
- Interdisciplinary Graduate School of Engineering Sciences, Kyushu University Faculty of Engineering Sciences, Kyushu University
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Description
Accurately predicting low-occurrence wind speeds around urban structures is vital for proper building design as well as pedestrian safety. Although Large-eddy simulation (LES) is often used as a high-fidelity model compared to Reynolds-averaged Navier–Stokes (RANS) simulation, current validation processes mainly compare fundamental statistics of the mean and standard deviations of the wind speed. Discrepancies between LESs and wind-tunnel experiments (WTE) remain unclear, particularly regarding physical quantities that characterize the unsteadiness of turbulent flows, such as probability densities, power spectral densities, and high-order moments of the wind speed. This study evaluates LES's results in predicting unsteady wind behavior around a 1:1:2 block model. Two advection schemes in LESs, including first-order upwind and second-order linear were investigated. The results show notable discrepancies, particularly in high-order statistics with WTE consistently exhibiting higher energy levels across all frequencies. These findings underscore the need to refine numerical models to improve their predictive accuracy.
Journal
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- Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES)
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Proceedings of International Exchange and Innovation Conference on Engineering & Sciences (IEICES) 10 692-699, 2024-10-17
Interdisciplinary Graduate School of Engineering Sciences, Kyushu University
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Keywords
Details 詳細情報について
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- CRID
- 1390302315058672384
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- DOI
- 10.5109/7323337
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- HANDLE
- 2324/7323337
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- ISSN
- 24341436
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- Text Lang
- en
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- Article Type
- conference paper
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- Data Source
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- JaLC
- IRDB
- Crossref
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- Abstract License Flag
- Allowed