Next Article in Journal
Joint Optimization of Serial Task Offloading and UAV Position for Mobile Edge Computing Based on Multi-Agent Deep Reinforcement Learning
Previous Article in Journal
Assessment Methodology for Treatment Fluid Efficiency in Modifying Filtration Properties of Porous Rocks
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Numerical Investigations of Snow Load Interference Effects on Multiple Arched Roofs Under Wind–Snow Coupled Actions

1
Key Laboratory of Structures Dynamic Behavior and Control of China Ministry of Education, Harbin Institute of Technology, Harbin 150090, China
2
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
China Construction Engineering (Macau) Company Limited, Macau 999078, China
*
Authors to whom correspondence should be addressed.
Appl. Sci. 2025, 15(23), 12414; https://doi.org/10.3390/app152312414 (registering DOI)
Submission received: 26 September 2025 / Revised: 12 November 2025 / Accepted: 20 November 2025 / Published: 23 November 2025

Abstract

Driven by the intensification of climate change, extreme snow events are becoming more frequent, posing significant risks to the safety of arched-roof structures. The combination of strong winds and heavy snowfall will cause localized snowdrifts that may exceed the safety design values in load codes. Such localized snowdrift phenomena even get worse under the action of mutual interference between buildings. To address this critical safety concern, this study employed a multiphase numerical model to evaluate interference effects on snow accumulation characteristics for grouped arched-roof buildings. Initially, the predictive accuracy of the numerical method was confirmed by comparing the results of a wind tunnel test. On the basis of full validation, a comprehensive numerical investigation was conducted to examine the snow redistribution patterns and aerodynamic interference effects among multiple arch-roofed buildings. Through analysis, the interference effect manifests as additional U-shaped snow accumulation on the windward surface of the disturbed arched roof, and specifically exhibits three distinct evolution stages of snow accumulation in relation to building spacing. Under adverse conditions, the disturbed snow load could increase by up to 1.4~1.5 times the fully exposed load, exceeding values specified in most design codes. Therefore, an amplification factor of 1.4 is recommended for the code-calculated fully exposed snow load to appropriately account for building interference effects.
Keywords: CFD simulations; snow loads; interference effects; multiple arched roofs CFD simulations; snow loads; interference effects; multiple arched roofs

Share and Cite

MDPI and ACS Style

Zhang, G.; Zhang, Q.; Mo, H.; Guo, D.; Zhi, X.; Fan, F. Numerical Investigations of Snow Load Interference Effects on Multiple Arched Roofs Under Wind–Snow Coupled Actions. Appl. Sci. 2025, 15, 12414. https://doi.org/10.3390/app152312414

AMA Style

Zhang G, Zhang Q, Mo H, Guo D, Zhi X, Fan F. Numerical Investigations of Snow Load Interference Effects on Multiple Arched Roofs Under Wind–Snow Coupled Actions. Applied Sciences. 2025; 15(23):12414. https://doi.org/10.3390/app152312414

Chicago/Turabian Style

Zhang, Guolong, Qingwen Zhang, Huamei Mo, Dong Guo, Xudong Zhi, and Feng Fan. 2025. "Numerical Investigations of Snow Load Interference Effects on Multiple Arched Roofs Under Wind–Snow Coupled Actions" Applied Sciences 15, no. 23: 12414. https://doi.org/10.3390/app152312414

APA Style

Zhang, G., Zhang, Q., Mo, H., Guo, D., Zhi, X., & Fan, F. (2025). Numerical Investigations of Snow Load Interference Effects on Multiple Arched Roofs Under Wind–Snow Coupled Actions. Applied Sciences, 15(23), 12414. https://doi.org/10.3390/app152312414

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Article metric data becomes available approximately 24 hours after publication online.
Back to TopTop