A source term model for drifting snow based on the assumption of local equilibrium saltation

Liu, Duote; Wang, Bin; Li, Yongle; Shu, Liu

doi:10.1016/j.coldregions.2020.103175

Cited by 3 publications

(1 citation statement)

References 17 publications

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“…However, although the associated work has made great progress, there remain critical issues to address. (i) Most numerical simulations of the snow distribution on building roofs have been carried out on small models and only occasionally calibrated with the results of wind tunnel tests or field measurements [6,7] , and the numerical simulation of prototype models of building roofs has not received enough attention; (ii) Previous wind-induced snowdrift models are mostly based on the assumption of one-way coupled effects [3,8] , ignoring the reaction of moving snow particles to turbulent wind and its further effect on snow particle motion, and the simulation of snow-and wind-load distributions considering the two-way coupled effects of snow particles and turbulent wind needs to be addressed; and (iii) The vibration response analysis of large curved-roof structures subjected to snow and wind loads in previous studies has been largely based on the equivalent static wind load or frequency-domain analysis [9,10] , the argument for assessing the structural performance has been a deterministic index or second-order statistical moment, and the accurate reliability of structures has not been secured owing to a lack of sufficient probabilistic information of the responses.…”

Section: Introductionmentioning

confidence: 99%

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

Peng¹,

Zhao²,

Zhou³

2022

Dis Prev Res

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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.

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