Effect of Statistical Uncertainties in Ground Snow Load on Structural Reliability

2015 ◽  
Vol 105 (49) ◽  
pp. 1-8
Author(s):  
Árpád Rózsás ◽  
Miroslav Sýkora
2020 ◽  
Author(s):  
Erwan Le Roux ◽  
Guillaume Evin ◽  
Nicolas Eckert ◽  
Juliette Blanchet ◽  
Samuel Morin

<p>In a context of climate change, assessing trends in hazards related to extreme events is urgent. Specifically current methods to compute European standards for snow load actions on structures do not account for the non-stationarity due to climate change. We present the first analysis of extreme ground snow load trends for the whole French Alps. Our method is based on non-stationary generalized extreme value (GEV) distribution, time derivative of return level and likelihood ratio test. Thanks to Météo France reanalysis and snowpack models, we study moutain massif scale data available every 300m of altitude from 1958 to 2017. We detect an overall decreasing trend for annual maxima of ground snow load between 900m and 2700m, which is significant in the Northwest of the French Alps until 1800m. Despite decreasing return levels, in 2017 half of massifs at altitude 1800m still exceeds standard return levels. We underline the importance of snowpack modelling and limitations of approaches relying on ground snow load computed with snow depth annual maxima and an hypothesis on snow density.</p>


2015 ◽  
Vol 15 (6) ◽  
pp. 9-17
Author(s):  
Youngkyu Lee ◽  
Chuljoo Lee ◽  
Jinho Kim ◽  
Insang Yu

Author(s):  
Toru TAKAHASHI ◽  
Taiki KAWAMURA ◽  
Koji KURAMOTO

2019 ◽  
Vol 33 (3) ◽  
pp. 04019010
Author(s):  
Brennan Bean ◽  
Marc Maguire ◽  
Yan Sun

1986 ◽  
Vol 13 (6) ◽  
pp. 647-652 ◽  
Author(s):  
Michael O'rourke ◽  
Evelyn Wood

In terms of structural failure, drift loads at changes in roof elevation are the most important snow load. In this paper, present building code provisions and recent research results are reviewed. The mechanics of snow drift formation as well as the parameters that influence these drifts are discussed in depth. Finally, a new empirical relationship for peak drift height and drift load is presented. The input parameters for the new empirical relationship are the width, length, and height of the upper level roof, the elevation difference between the upper level roof and snow on the lower level roof, and the ground snow load. Comparisons with case history measurements indicate that the new empirical relationship is a marked improvement over existing relationships. Key words: snow, loads, roof, drift, fluid mechanics, building codes.


2016 ◽  
Vol 84 (3) ◽  
pp. 2095-2120 ◽  
Author(s):  
H. M. Mo ◽  
L. Y. Dai ◽  
F. Fan ◽  
T. Che ◽  
H. P. Hong
Keyword(s):  

1984 ◽  
Vol 11 (3) ◽  
pp. 480-493 ◽  
Author(s):  
B. R. Claus ◽  
S. O. Russell ◽  
P. Schaerer

Measurements conducted at 20 locations in Southern British Columbia were used to investigate the relationship between design ground snow load and elevation. It was found that the increase in water equivalent with elevation (i.e., the slope of the graph of water equivalent plotted against elevation) could be defined for regions having similar climatic conditions. For a given location, the design ground snow load can therefore be estimated by extrapolating from the water equivalent value at one elevation, where it has been measured, to the elevation at the location in question.Plots of the absolute values of water equivalents against elevation for regions of similar climatic conditions gave less satisfactory relationships but they could still be used to estimate approximate values of the design ground snow loads for any particular site.


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