[1] |
Yan Long, Wang Wenqiang, Zhao Wenjun, Chen Shanqiu.
Study on the influence of laying quantity and laying spacing on the burning characteristics of cables
[J]. Fire Science and Technology, 2023, 42(3): 293-297.
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[2] |
Zhang Jiaqing, Yuan Jianguo, Ji Jun, Huang Yubiao.
Study on properties changes of fireproof mud before and after fire resistance simulation test
[J]. Fire Science and Technology, 2023, 42(3): 379-382.
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[3] |
Ge Xuchao , Li Huaiyi, Xu Jianquan, Zhang Feng.
Research on emergency communication support strategy of fire rescue team in severing earthquake and catastrophe in Plateau and alpine region
[J]. Fire Science and Technology, 2023, 42(3): 411-415.
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[4] |
Tang Shengqiang, Huang Xiaojia, Xie Shuibo, Wang Yi.
An empirical study on the impact of fire on the demand of family property insurance in China
[J]. Fire Science and Technology, 2023, 42(3): 416-421.
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[5] |
Zheng Bin, Jia Hui-Jun, Zeng Xiao, Li Ying-hui.
Application of the smart meter data collection in fire investigation
[J]. Fire Science and Technology, 2023, 42(3): 429-434.
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[6] |
LIU Chang, HE Chang-Yuan, JIN Xue-Sheng, LU Cheng.
Design and implementation of editable fire scene electronic sand table system based on Unreal Engine
[J]. Fire Science and Technology, 2022, 41(7): 959-963.
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[7] |
HU Ren-yuan, WANG Hui-hui, XIA Deng-you.
Situation prediction based on petrochemical fire scenario deduction software
[J]. Fire Science and Technology, 2022, 41(7): 970-973.
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[8] |
LV Feng.
Research on law enforcement under the newsituation of fire law enforcement reform
[J]. Fire Science and Technology, 2022, 41(7): 994-996.
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[9] |
YOU Wen-jiao, ZHONG Sheng-jun.
Study on smoke control technology by using cross passage in extra-long submarine tunnel
[J]. Fire Science and Technology, 2022, 41(6): 782-785.
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[10] |
SHEN Rui, QIN Li-peng, CHEN Hai-tao.
Risk analysis and countermeasure research in vehicle accident rescue
[J]. Fire Science and Technology, 2022, 41(6): 847-850.
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[11] |
DONG Kai, ZHU Guo-qing, SONG Chun-jing, CHEN Wen-jia.
Research on occupational injury factors of firefighters and countermeasures
[J]. Fire Science and Technology, 2022, 41(6): 851-855.
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[12] |
YOU Ya-yun, LI Qiang, SHEN Zhi-chao, WAN Yi-jin.
Bayesian network-based assessment of the effectiveness of collaborative urban fire management
[J]. Fire Science and Technology, 2022, 41(5): 630-633.
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[13] |
CHEN Shuo, FAN Heng, ZHOU Mao-lei.
Fire risk prediction based on recurrent neural networks and its application
[J]. Fire Science and Technology, 2022, 41(5): 655-657.
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[14] |
HU Cheng, BAO Zhi-ming, BAO Yuan-cai, ZHANG Xian-zhong.
Research on the fire-extinguishing performance of fire monitors based on the large-scale simulated oil tank fire test
[J]. Fire Science and Technology, 2022, 41(5): 663-666.
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[15] |
SUN Yu-peng, HUANG Dong-mei, LI Rui, YANG Hua.
Impact analysis of non-penetrating damage of fire helmet against impact acceleration
[J]. Fire Science and Technology, 2022, 41(5): 671-675.
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