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http://dx.doi.org/10.12652/Ksce.2014.34.5.1421

Assessment and Improvement of Snow Load Codes and Standards in Korea  

Yu, Insang (Kongju National University)
Kim, Hayong (Kongju National University)
Necesito, Imee V. (Kongju National University)
Jeong, Sangman (Kongju National University)
Publication Information
KSCE Journal of Civil and Environmental Engineering Research / v.34, no.5, 2014 , pp. 1421-1433 More about this Journal
Abstract
In this study, appropriate probability distribution and parameter estimation method were selected to perform snowfall frequency analysis. Generalized Extreme Value (GEV) and Probability Weighted Moment Method (PWMM) appeared to be the best fit for snowfall frequency analysis in Korea. Snowfall frequency analysis applying GEV and PWMM were performed for 69 stations in Korea. Peak snowfall corresponding to recurrence intervals were estimated based on frequency analysis while snow loads were calculated using the estimated peak snowfall and specific weight of snow. Design snow load map was developed using 100-year recurrence interval snow load of 69 stations through Kriging of ArcGIS. The 2009 Korean Building Code and Commentary for design snow load was assessed by comparing the design snow loads which calculated in this study. As reflected in the results, most regions are required to increase the design snow loads. Thus, design snow loads and the map were developed from based on the results. The developed design snow load map is expected to be useful in the design of building structures against heavy snow loading throughout Korea most especially in ungaged areas.
Keywords
Design snow load map; Frequency analysis; Snowfall; Probability distribution;
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Times Cited By KSCI : 13  (Citation Analysis)
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