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Adaptive Mapping of Design Ground Snow Loads in the Conterminous United States
| 题名： | Adaptive Mapping of Design Ground Snow Loads in the Conterminous United States |
| 正文语种： | eng |
| 作者： | Jadon Wagstaff;Brennan Bean;Jesse Wheeler;Marc Maguire;Yan Sun |
| 作者单位： | Huntsman Cancer Institute;Utah State Univ.;Univ. of Michigan;Univ. of Nebraska–Lincoln;Utah State Univ. |
| 摘要： | Abstract Recent amendments to design ground snow load requirements in current US standards have reduced the size of case-study regions by 91% from what they were in previous standards, primarily in western states. This reduction is made possible through the development of highly accurate regional generalized additive models (RGAMs), stitched together with a novel smoothing scheme implemented in the R software package remap, to produce the continental-scale maps of reliability-targeted design ground snow loads available in current standards. This approach allows for better characterizations of the changing relationship between temperature, elevation, and ground snow loads across the conterminous US (CONUS). RGAMs are shown to have 10% or better improvement in mean absolute mapping error in two independently created data sets when compared with traditional mapping techniques. |
| 出版年： | 2024 |
| 期刊名称： | Journal of structural engineering |
| 卷： | 150 |
| 期： | 1 |
| 页码： | 1.1-1.11 |
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