Modeling of Snow Load Using Filtered Poisson Process

Stochastic process modeling of snow loads has been applied in structural reliability analysis. However, the snow load is usually modeled by a, random variable with a specific distribution (e.g., Lognormal distribution) in combination with a Bernoulli pulse process. In this paper, the Filtered Poisson Process (FPP) is used to model the snow load. Simulated records are compared with weather records of Stampede Pass, WA. and Buffalo, NY, obtained from the National Climatic Data Center (NCDC). The FPP model is demonstrated to be versatile for both heavy and light snow load areas.

Language

  • English

Media Info

  • Media Type: Print
  • Features: Figures; References; Tables;
  • Pagination: pp 618-626
  • Monograph Title: Cold Regions Engineering 2009. Cold Regions Impact on Research, Design and Construction

Subject/Index Terms

Filing Info

  • Accession Number: 01144252
  • Record Type: Publication
  • ISBN: 9780784410721
  • Files: TRIS
  • Created Date: Nov 17 2009 12:03PM