Date of Award:
8-2019
Document Type:
Dissertation
Degree Name:
Doctor of Philosophy (PhD)
Department:
Mathematics and Statistics
Committee Chair(s)
Yan Sun
Committee
Yan Sun
Committee
Adele Cutler
Committee
Richard Cutler
Committee
Marc Maguire
Committee
Shih-Yu (Simon) Wang
Abstract
One critical consideration in the design of buildings constructed in the western United States is the weight of settled snow on the roof of the structure. Engineers are tasked with selecting a design snow load that ensures that the building is safe and reliable, without making the construction overly expensive. Western states use historical snow records at weather stations scattered throughout the region to estimate appropriate design snow loads. Various mapping techniques are then used to predict design snow loads between the weather stations. Each state uses different mapping techniques to create their snow load requirements, yet these different techniques have never been compared. In addition, none of the current mapping techniques can account for the uncertainty in the design snow load estimates. We address both issues by formally comparing the existing mapping techniques, as well as creating a new mapping technique that allows the estimated design snow loads to be represented as an interval of values, rather than a single value. In the process, we have improved upon existing methods for creating design snow load requirements and have produced a new tool capable of handling uncertain climate data.
Checksum
0e942a67349906e370f5f3ea691be8c6
Recommended Citation
Bean, Brennan L., "Interval-Valued Kriging Models with Applications in Design Ground Snow Load Prediction" (2019). All Graduate Theses and Dissertations, Spring 1920 to Summer 2023. 7579.
https://digitalcommons.usu.edu/etd/7579
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