Zobrazeno 1 - 5 of 5 pro vyhledávání: '"Seungil Ahn"'
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Akademický článek
Comprehensive Building Fire Risk Prediction Using Machine Learning and Stacking Ensemble Methods
Autor: Seungil Ahn, Jinsub Won, Jangchoon Lee, Changhyun Choi
Publikováno v: Fire, Vol 7, Iss 10, p 336 (2024)
Building fires pose a critical threat to life and property. Therefore, accurate fire risk prediction is essential for effective building fire prevention and mitigation strategies. This study presents a novel approach to predicting fire risk in buildi
Externí odkaz: https://doaj.org/article/935a7233133b4f0782ce1606d1366f90
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2
Estimation of Freshly Fallen Snow Unit Weight and Maximum Probable Snow Load
Autor: Seungil Ahn, Youngkyu Lee, Chuljoo Lee
Publikováno v: Journal of Korean Society of Hazard Mitigation. 15:47-55
Korea needs to take snow unit weight into account to transform snow depth into snow loads because Korean Meteorological Agencydoes not gauge snow loads. In world wide building codes they use different snow unit weights to evaluate snow depth into sno
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7b0f25c17c33aed1b1f66a0d404d07b2
https://doi.org/10.9798/kosham.2015.15.1.47
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5
Inspection of the Specific Buildings Using the Wind-Induced Disaster Risk Index
Autor: Chuljoo Lee, Seungil Ahn, Youngkyu Lee
Publikováno v: Journal of korean society of hazard mitigation. 13:9-16
The wind-induced disaster risk index (WRI) is developed to inspect the safety against windstorm for the specific buildings, approximately 34,000 buildings, distributed over South Korea. WRI for a specific building is based on the wind damage band whi
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c012bfe40e69e319a658438ede07c928
https://doi.org/10.9798/kosham.2013.13.5.009
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