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- 소방방재
- A Prediction Model of Casualties Based on Machine Learning for Selection of Fire Scenario
- Donggoo Seo, Byunghun Park, Younghyun Lee, Wonhee Lee, Jungjae Kim, Hojun Song
- J. Korean Soc. Hazard Mitig. 2021;21(5):165-173. Published online October 27, 2021
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- A Study on the Analysis of Sprinkler Operating Probability Using Building Fire Statistics
- Seunghyeon Jin, Hyewon Kim, Youngjin Kwon, Donggoo Seo
- J. Korean Soc. Hazard Mitig. 2021;21(1):119-126. Published online February 28, 2021
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- Fire-Damage Assessment of Middle Slab in Double-Deck Tunnels According to Fire Scenario
- Gyuhwan Cho, Jaekwon Ahn, Jaehong An, Inhwan Yeo
- J. Korean Soc. Hazard Mitig. 2019;19(5):159-166. Published online October 31, 2019
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- 시설물방재
- Establishing a Risk Assessment Scenario for Fire Prevention and Safety Management in Underground Urban Utility Tunnels
- Hyunjeong Seo, Hyunra Choi, Min Chul Lee, Chang Geun Song
- J. Korean Soc. Hazard Mitig. 2019;19(1):241-248. Published online February 28, 2019
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- Experimental Study on Thermal Damage of the Concrete Tunnel Lining Depending on the Fire Scenario and Fiber Addition
- Ki seok Kwon, Bum yeon Cho, Seung un Chae, Hyun jun Shin, Kyung hoon Park
- J. Korean Soc. Hazard Mitig. 2015;15(3):193-200. Published online June 30, 2015
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- Damage Rate of Reinforced Concrete Submerged Floating Tunnels Under Fire Scenarios
- JiHye Seo, Taek Hee Han, Woo-Sun Park, Sang-Hun Han, Deok Hee Won
- J. Korean Soc. Hazard Mitig. 2014;14(4):59-66. Published online August 31, 2014
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