| 1 |
Stochastic explosion risk analysis of hydrogen production facilities
Shi JH, Chang B, Khan F, Chang YJ, Zhu Y, Chen GM, Zhang CJ
International Journal of Hydrogen Energy, 45(24), 13535, 2020 |
| 2 |
Determination of gas cloud shape for explosion risk analysis of offshore topside process area
Jin YL, Jang BS
Process Safety and Environmental Protection, 133, 183, 2020 |
| 3 |
Application of Bayesian Regularization Artificial Neural Network in explosion risk analysis of fixed offshore platform
Shi JH, Zhu Y, Khan F, Chen GM
Journal of Loss Prevention in The Process Industries, 57, 131, 2019 |
| 4 |
Risk and efficiency analysis of dual mixed refrigerant liquefaction process configurations for floating liquefied natural gas at conceptual design stage
You W, Park J, Jung S, Lim Y
Process Safety Progress, 38(1), 87, 2019 |
| 5 |
Probabilistic explosion risk analysis for offshore topside process area. Part I: A new type of gas cloud frequency distribution for time-varying leak rates
Jin Y, Jang BS
Journal of Loss Prevention in The Process Industries, 51, 125, 2018 |
| 6 |
A simplified statistic-based procedure for gas dispersion prediction of fixed offshore platform
Shi JH, Li JD, Zhu Y, Hao H, Chen GM, Xie B
Process Safety and Environmental Protection, 114, 48, 2018 |
| 7 |
Grid-based risk mapping for gas explosion accidents by using Bayesian network method
Huang YM, Ma GW, Li JD
Journal of Loss Prevention in The Process Industries, 48, 223, 2017 |
| 8 |
A CFD based explosion risk analysis methodology using time varying release rates in dispersion simulations
Gupta S, Chan S
Journal of Loss Prevention in The Process Industries, 39, 59, 2016 |
| 9 |
CFD calculations of gas leak dispersion and subsequent gas explosions: Validation against ignited impinging hydrogen jet experiments
Middha P, Hansen OR, Grune J, Kotchourko A
Journal of Hazardous Materials, 179(1-3), 84, 2010 |
| 10 |
Experiment-based fire and explosion risk analysis for powdered magnesium production methods
Gang L, Chunmiao Y, Peihong Z, Baozhi C
Journal of Loss Prevention in The Process Industries, 21(4), 461, 2008 |
