Numerical simulation of snowdrift on a membrane roof and the mechanical performance under snow loads

Sun, Xiaofeng; He, Rijin; Wu, Yue

doi:10.1016/j.coldregions.2017.09.007

Cited by 36 publications

(7 citation statements)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The snowdrift trajectories were predicted using the CFD‐solved kinetic field to track each discrete particle motion. Due to the flexibility to integrate many physical processes that may be neglected using the Eulerian‐based approach, exploiting complex impact factors (e.g., dynamic wind field and complex terrain features) in snowdrift simulation is conceivable (Sun, He, & Wu, 2018; Tominaga, 2018). Nevertheless, it is not appropriate to neglect these phenomena in an automatic simulation system for snow hazard forecasting.…”

Section: Related Workmentioning

confidence: 99%

A dynamic snow accumulation simulation approach for forecasting snow distribution over regional‐scale terrain

Ding

Sun

Zhu

2022

Transactions in GIS

View full text Add to dashboard Cite

Economic losses due to snow‐related disasters in pastoral areas of China have become severe in recent decades. Terrain and wind play prominent roles in determining snow distribution patterns. As complex topography and dynamic wind conditions are strong nonlinear multivariables with many uncertain factors, it is difficult to predict elevation‐ and wind‐affected snow depth distribution. The complex characteristics of the snow accumulation process call for highly reliable comprehensive simulation for disaster management. The accuracy of these simulations mainly depends on the integration of multiple models for multi‐stage snow accumulation processes. Focusing on coupling wind‐affected snowdrift and snowmelt processes, we put forward a virtual geographical environment snow accumulation simulation approach. The approach consists of three main steps: (1) computational fluid dynamics prediction of 3D dynamic wind‐flow fields; (2) wind‐affected snowdrift simulation; and (3) snowmelt simulation based on degree‐day model. To check its reliability and efficiency, this approach has been validated by reconstructing a historical snow event at Tacheng City, Xinjiang Province, China. The results have characterized the elevation‐ and wind‐induced snowdrift patterns and their specific levels of risk under various conditions. The comprehensive simulation method described here can be applied to help the government and the public examine future events, and stimulate consideration of appropriate policies and techniques for snow risk mitigation.

show abstract

Section: Related Workmentioning

confidence: 99%

A dynamic snow accumulation simulation approach for forecasting snow distribution over regional‐scale terrain

Ding

Sun

Zhu

2022

Transactions in GIS

View full text Add to dashboard Cite

show abstract

“…In representing the uneven distribution of wind and snow loads, the wind pressure and snow pressure coefficients are defined as [17,18] 𝐶 w (𝑥, 𝐶 s (𝑥,…”

Section: Simulation Of Wind Pressure and Snow Pressure Coefficientsmentioning

confidence: 99%

Reliability analysis of a large curved-roof structure considering wind and snow coupled effects

Peng¹,

Zhao²,

Zhou³

2022

Dis Prev Res

View full text Add to dashboard Cite

Ensuring the safety of large curved-roof structures subjected to blizzards in cold regions remains challenging. This paper assesses the reliability of a large curved-roof structure considering the coupled effects of wind and snow. To this end, a two-way coupled simulation considering the interaction between snow particles and turbulent wind is first carried out using a computational fluid dynamics scheme and a spectral representation method based on the wavenumber-frequency joint power spectrum and stochastic harmonic function; thereby, the uneven snow distribution and stochastic wind field on a large curved roof are revealed. The probability density evolution method is then adopted to conduct a stochastic response and reliability analysis of the structure. The simulation results reveal that a credible uneven distribution of snow on the large curved roof can be obtained using the suggested snowdrift simulation scheme, and the refined spectral representation method can efficiently and accurately simulate the two-dimensional fluctuating wind field of the large curved-roof structure. It is shown that under stochastic wind, snow and self-weight loads for a 100-year return period, the large curved-roof structure has a higher risk of member yielding than of node deflection. Meanwhile, the axial stress acting on the structural member is far less than the maximum allowable stress and the structure is thus deemed to be sufficiently safe.

show abstract

“…Due to their specific properties and increasing popularity, there is a great scope for research in this area. Very investigated area is the optimization of initial shape of membrane structures [2,3] and also numerical modelling concerning of the behaviour of the membrane structures under the load [4].…”

Section: Introductionmentioning

confidence: 99%

Stress analysis of the membrane structure in the shape of cone

2020

View full text Add to dashboard Cite

The paper is focused on the static analysis of the cone, which is one of the basic shapes used for membrane structures. These structures are specific by their ability to transmit only tensile forces. Pressure forces in the membrane construction may cause unwanted wrinkling of the used textile materials. When designing membranes, one of the variable parameters can be the height of cone and the radius of the circular profile at the top of the cone, which affects the resulting stress and internal forces. This paper aims to analyze the reliability of the cone in terms of the extreme stress and internal forces while maintaining the same ground plan.

show abstract

Numerical simulation of snowdrift on a membrane roof and the mechanical performance under snow loads

Cited by 36 publications

References 16 publications

A dynamic snow accumulation simulation approach for forecasting snow distribution over regional‐scale terrain

A dynamic snow accumulation simulation approach for forecasting snow distribution over regional‐scale terrain

Reliability analysis of a large curved-roof structure considering wind and snow coupled effects

Stress analysis of the membrane structure in the shape of cone

Contact Info

Product

Resources

About