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contributor authorD. Jared DeBock
contributor authorAbbie B. Liel
contributor authorJames R. Harris
contributor authorBruce R. Ellingwood
contributor authorJeannette M. Torrents
date accessioned2017-12-16T09:24:45Z
date available2017-12-16T09:24:45Z
date issued2017
identifier other%28ASCE%29ST.1943-541X.0001731.pdf
identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4242691
description abstractThis paper describes a new method for fitting probability distributions for modeling annual maximum ground snow loads for use in structural design. These probability models are intended for use in reliability assessments to determine reliability-targeted ground snow loads, as described in the companion paper. The proposed method emphasizes the upper tail of the distributions, because the upper tail is most critical for the reliability assessment and for determination of design loads. A combination of site-specific and region of influence approaches results in annual maximum snow load distributions whose magnitudes are consistent with historical data observed at the site of interest but with upper tail shapes that are informed by historical snow records at a number of similar sites. Clusters of sites with similar snow accumulation patterns are utilized to improve the definition of the snow load distribution at sites in the cluster.
publisherAmerican Society of Civil Engineers
titleReliability-Based Design Snow Loads. I: Site-Specific Probability Models for Ground Snow Loads
typeJournal Paper
journal volume143
journal issue7
journal titleJournal of Structural Engineering
identifier doi10.1061/(ASCE)ST.1943-541X.0001731
treeJournal of Structural Engineering:;2017:;Volume ( 143 ):;issue: 007
contenttypeFulltext


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