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Qi Tong
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Risk-based domino effect analysis for fire and explosion accidents considering uncertainty in processing facilities
J Ji, Q Tong, F Khan, M Dadashzadeh, R Abbassi
Industrial & Engineering Chemistry Research 57 (11), 3990-4006, 2018
302018
A dynamic Bayesian network-based approach to resilience assessment of engineered systems
Q Tong, M Yang, A Zinetullina
Journal of Loss Prevention in the Process Industries 65, 104152, 2020
282020
A novel fuzzy dynamic Bayesian network for dynamic risk assessment and uncertainty propagation quantification in uncertainty environment
X Guo, J Ji, F Khan, L Ding, Q Tong
Safety science 141, 105285, 2021
242021
Application of the EnKF method for real-time forecasting of smoke movement during tunnel fires
J Ji, Q Tong, LL Wang, CC Lin, C Zhang, Z Gao, J Fang
Advances in Engineering Software 115, 398-412, 2018
172018
Predicting the capacity of thin-walled beams at elevated temperature with machine learning
C Couto, Q Tong, T Gernay
Fire Safety Journal 130, 103596, 2022
12022
A hierarchical Bayesian model for predicting fire ignitions after an earthquake with application to California
Q Tong, T Gernay
Natural Hazards 111 (2), 1637-1660, 2022
12022
Predicting the Capacity of Slender Steel Columns at Elevated Temperature with Finite Element Method and Machine Learning
Q Tong, C Couto, T Gernay
Applications of Structural Fire Engineering, 2021
12021
Resilience assessment of process industry facilities using dynamic Bayesian networks
Q Tong, T Gernay
Process Safety and Environmental Protection, 2022
2022
Machine learning models for predicting the resistance of axially loaded slender steel columns at elevated temperatures
Q Tong, C Couto, T Gernay
Engineering Structures 266, 114620, 2022
2022
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Articles 1–9