Mean hourly wind speed, temperature and precipitation simulation with application to assess multi-variable hazards

Authors
Nguyen Sinh, Hung
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Other Contributors
Letchford, C. W.
Lombardo, Franklin Thomas
O'Rourke, Michael J.
Vastola, Kenneth S.
Issue Date
2015-12
Keywords
Civil engineering
Degree
PhD
Terms of Use
This electronic version is a licensed copy owned by Rensselaer Polytechnic Institute, Troy, NY. Copyright of original work retained by author.
Full Citation
Abstract
For the sophisticated model, first, multivariate simulation (wind, temperature and precipitation) for many years in the Midwestern US are undertaken. By setting the conditions for freezing rain, these variables were then input into a simple ice-accretion model to estimate ice thickness during FR events. Again joint probability distribution and annual joint probability of exceedence for wind speeds and ice thickness during FR were established to construct joint hazard curves for wind and ice. Additionally, the joint hazard of wind and snow (ground snow load) is also established by setting a condition for snow formation instead of ice. These joint hazard curves were then compared to the existing prescribed treatments of these two hazards in design loading guidelines, such as ASCE 7 (2010) (and/or NESC (2007)) in the United States. Since all the meteorological variables (temperature, wind speed and precipitation) were simulated in the sophisticated model, it is possible to input climate change scenarios into this model to investigate the potential impact of the climate change on such joint hazards.
Description
December 2015
School of Engineering
Department
Dept. of Civil and Environmental Engineering
Publisher
Rensselaer Polytechnic Institute, Troy, NY
Relationships
Rensselaer Theses and Dissertations Online Collection
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