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You searched for +publisher:"University of Colorado" +contributor:("James Harris"). Showing records 1 – 2 of 2 total matches.

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University of Colorado

1. DePaolo, Michael Robert. A Proposal for a Unified Process to Improve Probabilistic Ground Snow Loads in the United States Using SNODAS Modeled Weather Station Data.

Degree: MS, 2013, University of Colorado

Snow loads govern roof design in many parts of the United States. These loads are largely prescribed by the American Society of Civil Engineers ASCE 7 Standard for minimum design loads. Where ASCE 7 does not specify snow loads due to extreme local variability, such as in the West, many state jurisdictions have developed individual roof snow load documents and maps. However, among the western states border discrepancies and a general lack of uniformity in the methodology for developing such loads indicates a need for a unified approach. This paper proposes a methodology to develop ground snow loads for the western United States, the application of which is illustrated for the state of Colorado. An innovative approach is taken which utilizes a hydrological snowpack model, Snow Data Assimilation System (SNODAS), developed by NOAA. This model provides estimates of ground snow depth and snow water content, easily convertible into loads, at 588 SNODAS weather stations in Colorado. The methodology proposed here then incorporates statistical techniques such as principal component analysis (PCA) and multivariate cluster analyses to regionalize the SNODAS stations by key shared properties. Several types of cluster analyses are evaluated including agglomerative hierarchical clustering (AHC), k-means, and a PCA-based method. Using various statistical and practical measures of quality, a step-wise hybrid method combining both AHC and k-means techniques is found to be the most statistically sound and robust clustering method. A relationship is then developed between ground snow depths and ground snow loads for each cluster of SNODAS weather stations. This paper proposes the following additional steps. A database of National Weather Service CO-OP stations with snow depth only measurements is gathered for the state of interest. The 50-year ground snow depths are extrapolated by testing the goodness-of-fit of several probability distributions. The ground snow depth-load relationships for each cluster produced by the hybrid method are then coupled with these 50-year ground snow depths to produce 50-year ground snow loads. Finally, these ground snow loads are mapped in GIS software using a Kriging geostatistical interpolation method to create continuous snow load isolines. Advisors/Committee Members: Abbie B. Liel, George Hearn, James Harris.

Subjects/Keywords: climatology; Colorado ground snow loads; SNODAS; snow engineering; snow loads; structural engineering; Atmospheric Sciences; Civil Engineering; Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

DePaolo, M. R. (2013). A Proposal for a Unified Process to Improve Probabilistic Ground Snow Loads in the United States Using SNODAS Modeled Weather Station Data. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/109

Chicago Manual of Style (16th Edition):

DePaolo, Michael Robert. “A Proposal for a Unified Process to Improve Probabilistic Ground Snow Loads in the United States Using SNODAS Modeled Weather Station Data.” 2013. Masters Thesis, University of Colorado. Accessed May 08, 2021. https://scholar.colorado.edu/cven_gradetds/109.

MLA Handbook (7th Edition):

DePaolo, Michael Robert. “A Proposal for a Unified Process to Improve Probabilistic Ground Snow Loads in the United States Using SNODAS Modeled Weather Station Data.” 2013. Web. 08 May 2021.

Vancouver:

DePaolo MR. A Proposal for a Unified Process to Improve Probabilistic Ground Snow Loads in the United States Using SNODAS Modeled Weather Station Data. [Internet] [Masters thesis]. University of Colorado; 2013. [cited 2021 May 08]. Available from: https://scholar.colorado.edu/cven_gradetds/109.

Council of Science Editors:

DePaolo MR. A Proposal for a Unified Process to Improve Probabilistic Ground Snow Loads in the United States Using SNODAS Modeled Weather Station Data. [Masters Thesis]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/cven_gradetds/109


University of Colorado

2. Kozak, Derek Lorne. Effects of Snow Loads on the Behavior and Risk of Structures with Open Web Steel Joist Roofs.

Degree: MS, 2013, University of Colorado

Roof collapses of any nature have severe impacts on building owners in the form of financial losses, and on building occupants in the form of physical harm. It has been observed recently that lightweight steel roofs subjected to snow loads account for a large number of roof collapses every year in the United States. The combination of the impacts and potential risk associated with lightweight steel roofs makes it important to properly understand their behavior under snow loads. This study focuses on a specific type of lightweight steel roof: open web steel joist supported roofs. Open web steel joist roofs with different design characteristics are analyzed in order to form a better understanding of how these types of roofs behave under uniform and drifted snow loads as well as their associated risks. Advisors/Committee Members: Abbie B. Liel, Ross B. Corotis, James Harris.

Subjects/Keywords: open web steel joist; reliability; snow load; steel roof; Civil Engineering

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Kozak, D. L. (2013). Effects of Snow Loads on the Behavior and Risk of Structures with Open Web Steel Joist Roofs. (Masters Thesis). University of Colorado. Retrieved from https://scholar.colorado.edu/cven_gradetds/319

Chicago Manual of Style (16th Edition):

Kozak, Derek Lorne. “Effects of Snow Loads on the Behavior and Risk of Structures with Open Web Steel Joist Roofs.” 2013. Masters Thesis, University of Colorado. Accessed May 08, 2021. https://scholar.colorado.edu/cven_gradetds/319.

MLA Handbook (7th Edition):

Kozak, Derek Lorne. “Effects of Snow Loads on the Behavior and Risk of Structures with Open Web Steel Joist Roofs.” 2013. Web. 08 May 2021.

Vancouver:

Kozak DL. Effects of Snow Loads on the Behavior and Risk of Structures with Open Web Steel Joist Roofs. [Internet] [Masters thesis]. University of Colorado; 2013. [cited 2021 May 08]. Available from: https://scholar.colorado.edu/cven_gradetds/319.

Council of Science Editors:

Kozak DL. Effects of Snow Loads on the Behavior and Risk of Structures with Open Web Steel Joist Roofs. [Masters Thesis]. University of Colorado; 2013. Available from: https://scholar.colorado.edu/cven_gradetds/319

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