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Author:

Zhang, Guolong (Zhang, Guolong.) | Zhang, Qingwen (Zhang, Qingwen.) | Mo, Huamei (Mo, Huamei.) | Zhi, Xudong (Zhi, Xudong.) | Shi, Jinlin (Shi, Jinlin.) | Wu, Jinzhi (Wu, Jinzhi.) | Fan, Feng (Fan, Feng.)

Indexed by:

EI Scopus SCIE

Abstract:

One of the primary factors contributing to damage in building structures is the uneven distribution of snow on roofs. Specifically, the multi-span gable roof, a commonly employed design, is highly susceptible to snow loads and frequently implicated in snow-related collapse incidents. Consequently, accurately predicting snow distribution on this type of roof holds significant importance. This paper presents comprehensive research on the snow load distribution on multi-span gable roofs by employing a numerical approach. Initially, the viability and precision of this numerical method were verified by comparing its results with experimental data. Subsequently, the influences of inflow wind velocity, inflow wind direction, and snowfall intensity on snowdrifts forming on multi-span gable roofs were explored for the adverse meteorological conditions. Lastly, the study delved into the impact of various roof shapes on snowdrifts under such adverse meteorological conditions. The findings reveal that the roof slope plays a pivotal role in determining the overall snow distribution pattern, while the aspect ratio of the roof primarily affects snow accumulation amount in local areas. © 2024

Keyword:

Roof coverings Aspect ratio Snow

Author Community:

  • [ 1 ] [Zhang, Guolong]Key Laboratory of Structures Dynamic Behavior and Control of China Ministry of Education, Harbin Institute of Technology, Harbin; 150090, China
  • [ 2 ] [Zhang, Guolong]Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin; 150090, China
  • [ 3 ] [Zhang, Qingwen]Key Laboratory of Structures Dynamic Behavior and Control of China Ministry of Education, Harbin Institute of Technology, Harbin; 150090, China
  • [ 4 ] [Zhang, Qingwen]Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin; 150090, China
  • [ 5 ] [Mo, Huamei]Key Laboratory of Structures Dynamic Behavior and Control of China Ministry of Education, Harbin Institute of Technology, Harbin; 150090, China
  • [ 6 ] [Mo, Huamei]Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin; 150090, China
  • [ 7 ] [Zhi, Xudong]Key Laboratory of Structures Dynamic Behavior and Control of China Ministry of Education, Harbin Institute of Technology, Harbin; 150090, China
  • [ 8 ] [Zhi, Xudong]Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin; 150090, China
  • [ 9 ] [Shi, Jinlin]China State Construction Engineering Co. Ltd, Beijing; 100037, China
  • [ 10 ] [Wu, Jinzhi]Faculty of Architecture, Civil and Transportation Engineering, Beijing University of Technology, Beijing; 100124, China
  • [ 11 ] [Wu, Jinzhi]Key Laboratory of Urban Security and Disaster Engineering, Ministry of Education, Beijing University of Technology, Beijing; 100124, China
  • [ 12 ] [Fan, Feng]Key Laboratory of Structures Dynamic Behavior and Control of China Ministry of Education, Harbin Institute of Technology, Harbin; 150090, China
  • [ 13 ] [Fan, Feng]Key Laboratory of Smart Prevention and Mitigation of Civil Engineering Disasters of the Ministry of Industry and Information Technology, Harbin Institute of Technology, Harbin; 150090, China

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Source :

Structures

Year: 2024

Volume: 70

4 . 1 0 0

JCR@2022

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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