Validation Of prediction method of roof snow depth for an isolated roof building: Prediction of unbalanced snow distribution due to wind on roofs based on CFD

Yoshihide Tominaga, Tsubasa Okaze, Akashi Mochida

Research output: Contribution to journalArticlepeer-review

2 Citations (Scopus)

Abstract

Computational fluid dynamics (CFD) simulations of unbalanced snow accumulation on roofs were conducted for an isolated gableroof building with different roof pitches. Firstly, prediction accuracy of the present CFD method on the velocity and pressure fields around the building was confirmed by comparing their results with those obtained by wind tunnel experiment. Next, the unbalanced snow accumulation on the roofs was predicted with different wind velocities using the snowdrift model presented by the authors. The predicted results of drift load coefficients were examined by comparing them with the observational data, which was based in ISO code. It was confirmed that the observational data can generally be reproduced by the proposed CFD simulation method.

Original languageEnglish
Pages (from-to)1051-1059
Number of pages9
JournalJournal of Structural and Construction Engineering
Volume81
Issue number725
DOIs
Publication statusPublished - 2016 Jul

Keywords

  • Cfd
  • Gable-roof building
  • Unbalanced snow distribution on roof
  • Validation
  • Wind

ASJC Scopus subject areas

  • Architecture
  • Building and Construction

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