Ruikang Li

Dr. Ruikang Li


Research Focus & Metrics

Academic Career Length

8Years (2019-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2020 in Fuel
Verified
Journal Article
Closed access
ZLZhenmin Luo
Zhenmin Luo
QHQiangqiang Hao
Qiangqiang Hao
TWTao Wang
Tao Wang
RLRuikang Li
Ruikang Li
FCFangming Cheng
Fangming Cheng
JDjun deng
jun deng

1 May 2020 in Fuel
Verified
Journal Article
Closed access
ZLZhenmin Luo
Zhenmin Luo
RLRuikang Li
Ruikang Li
TWTao Wang
Tao Wang
FCFangming Cheng
Fangming Cheng
YLYin Liu
Yin Liu
XZXiaochun Zhu
Xiaochun Zhu

1 July 2019 in Journal of Loss Prevention in the Process Industries
Verified
Journal Article
Closed access
TWTao Wang
Tao Wang
ZLZhenmin Luo
Zhenmin Luo
HWHu Wen
Hu Wen
JZJiang Zhang
Jiang Zhang
WMWenlong Mao
Wenlong Mao
JDJun Deng
Jun Deng

28 February 2022 in Process Safety and Environmental Protection
Verified
Journal Article
Closed access
CWChenlin Wang
Chenlin Wang
YZYanfei Zheng
Yanfei Zheng
RLRuikang Li
Ruikang Li
QYQingrong Yin
Qingrong Yin
CSChunfeng Song
Chunfeng Song

1 March 2024 in International Journal of Hydrogen Energy
Verified
Journal Article
Closed access
ZLZhenmin Luo
Zhenmin Luo
HQHao Qi
Hao Qi
BSBin Su
Bin Su
TWTao Wang
Tao Wang
RLRuikang Li
Ruikang Li
TZTian-jun ZHANG
Tian-jun ZHANG

6 August 2019 in Combustion Science and Technology
Verified
Journal Article
Closed access
HWHu Wen
Hu Wen
YLYin Liu
Yin Liu
YJYongfei Jin
Yongfei Jin
DZDuo Zhang
Duo Zhang
JGJun Guo
Jun Guo
XZXuezhao Zheng
Xuezhao Zheng
In the mine fire period, the smoke plume temperature, critical air velocity, back-flow layer and other fire parameters in the lanes are subjected to environmental factors such as lane dip angle and airflow conditions, coupled with uncertain evolution process. In view of this, a numerical simulation is performed for exploring the dynamic evolution law of fire possibly occurred in the mine. The ANSYS Fluent PDF non-premixed combustion model is applied to reveal the fire development in the lanes with different dip angles under different air velocity. The temperature distribution in the lanes and the evolution law of the fire back-flow layer are also analyzed. Here introduces the dimensionless number-Richardson number (Ri value) to determine the critical value of the development of the fire back-flow layer. The results show that there is a regular relationship of the spatiotemporal evolution properties of fire in the inclined lane with the two factors: dip angle, airflow velocity, According to this law, the calculation model of smoke back-flow layer length with respect to air velocity and inclination angle is established, and the critical air velocity prediction model under the condition of large inclination angle is revised. Based on the critical air velocity and critical angle, the critical value of the Richardson number is determined to be 91.6. When Ri is greater than 91.6, the fire back-flow layer appears, otherwise, it disappears. The findings provide certain clues to identifying the fire in the underground tunnel and predicting the fire development and smoke spread.