PreprintArticleVersion 1Preserved in Portico This version is not peer-reviewed
An Investigation into the Distribution of Fluctuating Wind Pressure and Associated Probabilistic Characteristics of Low-Rise Buildings Impacted by the Gap between the Hillside and the Building
Version 1
: Received: 4 March 2024 / Approved: 5 March 2024 / Online: 5 March 2024 (06:39:04 CET)
How to cite:
Zhong, M.; Wang, C.; Lin, M.; Lu, J.; Wang, X. An Investigation into the Distribution of Fluctuating Wind Pressure and Associated Probabilistic Characteristics of Low-Rise Buildings Impacted by the Gap between the Hillside and the Building. Preprints2024, 2024030224. https://doi.org/10.20944/preprints202403.0224.v1
Zhong, M.; Wang, C.; Lin, M.; Lu, J.; Wang, X. An Investigation into the Distribution of Fluctuating Wind Pressure and Associated Probabilistic Characteristics of Low-Rise Buildings Impacted by the Gap between the Hillside and the Building. Preprints 2024, 2024030224. https://doi.org/10.20944/preprints202403.0224.v1
Zhong, M.; Wang, C.; Lin, M.; Lu, J.; Wang, X. An Investigation into the Distribution of Fluctuating Wind Pressure and Associated Probabilistic Characteristics of Low-Rise Buildings Impacted by the Gap between the Hillside and the Building. Preprints2024, 2024030224. https://doi.org/10.20944/preprints202403.0224.v1
APA Style
Zhong, M., Wang, C., Lin, M., Lu, J., & Wang, X. (2024). An Investigation into the Distribution of Fluctuating Wind Pressure and Associated Probabilistic Characteristics of Low-Rise Buildings Impacted by the Gap between the Hillside and the Building. Preprints. https://doi.org/10.20944/preprints202403.0224.v1
Chicago/Turabian Style
Zhong, M., Junyu Lu and Xiangjun Wang. 2024 "An Investigation into the Distribution of Fluctuating Wind Pressure and Associated Probabilistic Characteristics of Low-Rise Buildings Impacted by the Gap between the Hillside and the Building" Preprints. https://doi.org/10.20944/preprints202403.0224.v1
Abstract
In China's mountainous coastal terrain, the storm badly damaged low-rise buildings. At present, it is not clear how the relative position of buildings and mountains affects the surface of a low-rise building’s fluctuating coefficient. The study compared these results with the wind pressure distribution without the surrounding environment. The primary objective of this study is to examine the fluctuating coefficient variation rule based on the spacing between hillsides and buildings under 0° wind angle. Additionally, the study analyzes the fluctuating wind pressure coefficient across wind angles between 0°~90°. The distribution of wind pressure in different common hillside landforms was examined through a wind tunnel experiment, which also compared with the distribution in an open environment. The study examined the fluctuating coefficient as the distance between the building and the hillside changed, specifically for wind blowing at a 0° angle. Next, an analysis is conducted on the changing pattern of the fluctuating coefficient for low-rise buildings ranging from a wind angle of 0° to 90°. Simultaneously, the investigation examined the power spectrum and wind pressure’s probability distribution, while considering the proximity of the building to an adjacent hill. The findings indicated that the changing wind pressure factor on the surface of the structure differed based on the relative location of the hillside and the building. The roof's wind pressure coefficient fluctuated and gradually increased until it reached its peak, unaffected by the surroundings. The low-frequency energy decreased in windward eaves, while the high-frequency energy progressively rose as the distance between the hillside and the building increased. The wind pressure on the leeward side exhibited Gaussian characteristics in its probability distribution.
Keywords
Fluctuating wind pressure distribution; Probabilistic properties; Low-rise buildings; Mountain form; The gap between the hillside and the building
Subject
Engineering, Civil Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
