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dc.rights.licenseRestricted to current Rensselaer faculty, staff and students. Access inquiries may be directed to the Rensselaer Libraries.
dc.contributorO'Rourke, Michael J.
dc.contributorLetchford, C. W.
dc.contributorSymans, Michael D.
dc.contributor.authorJames-Snead, Naomi
dc.date.accessioned2021-11-03T07:58:49Z
dc.date.available2021-11-03T07:58:49Z
dc.date.created2013-09-09T14:31:58Z
dc.date.issued2013-05
dc.identifier.urihttps://hdl.handle.net/20.500.13015/860
dc.descriptionMay 2013
dc.descriptionSchool of Engineering
dc.description.abstractThis thesis evaluates and verifies a numerical method proposed to simulate roof snow drifts. The verification process entails a quantitative comparison of the analytical predicted drift size with data procured from a collection of full scale case histories.
dc.description.abstractThe analytical method used in this research is developed by O'Rourke et al. The method is based primarily on the physical principles that govern drift formation. The parameters needed to predict the size of a snow drift analytically include; wind velocity, snow fall, roof geometry and orientation. Herein, the predicted values are compared with those observed in the field. The ratio of the observed and predicted values is characterized probabilistically. The results generated from this study show a reasonable concordance between those values that were measured and those predicted analytically using the simulation model.
dc.language.isoENG
dc.publisherRensselaer Polytechnic Institute, Troy, NY
dc.relation.ispartofRensselaer Theses and Dissertations Online Collection
dc.subjectCivil engineering
dc.titleA numerical verification of analytical simulation of roof snow drifts
dc.typeElectronic thesis
dc.typeThesis
dc.digitool.pid167088
dc.digitool.pid167089
dc.digitool.pid167090
dc.rights.holderThis electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
dc.description.degreeMS
dc.relation.departmentDept. of Civil and Environmental Engineering


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