Domino Effect: Its Prediction and Prevention Methods in Chemical Process Safety Series

Domino Effect: Its Prediction and Prevention, Volume Five in the Methods in Chemical Process Safety series, focuses on the process of learning from experience, including elements of process safety management, human factors in the chemical process industries, and the regulation of chemical process safety, including current approaches. Users will find this book to be an informative tool and user manual for process safety for a variety of professionals. This new release focuses on Domino effect ? Case histories and accident statistics, the state-of-the-art in domino effect modeling, Fire Driven Domino Effect, Mitigation of Domino Effect, and much more.

1. Domino effect: Its prediction and prevention—An overview
Faisal Khan, Md Tanjin Amin, Valerio Cozzani, and Genserik Reniers
2. State of the art in domino effect modeling
Giordano Emrys Scarponi and Valerio Cozzani
3. Fire driven domino effect
Federica Ricci, Giordano Emrys Scarponi, Gabriele Landucci, and Valerio Cozzani
4. Explosion (overpressure) driven domino effect
Ernesto Salzano
5. Projectile (missile) driven domino effect 000
Giordano Emrys Scarponi, Alessandro Tugnoli, and Valerio Cozzani
6. Natural events driven domino effect
Alessio Misuri and Valerio Cozzani
7. Mitigation of domino effect
Alessio Misuri, Gabriele Landucci, and Valerio Cozzani
8. Advanced methods for risk assessment and management of domino effect
Long Ding and Jie Ji
9. Domino effect security risk assessment
Chao Chen, Genserik Reniers, Ming Yang, and Shuaiqi Yuan
10. Bayesian methods in domino effect analysis
Nima Khakzad
11. Uncertainty in domino effects analysis
Depeng Kong
12. Approaches to domino effects evolution and risk assessment
Til Baalisampang, Rouzbeh Abbassi, and Vikram Garaniya
13. Domino effect risk management: Decision making methods
Mohammad Yazdi, Arman Nedjati, Esmaeil Zarei, Sidum Adumene, Rouzbeh Abbassi, and Faisal Khan
14. Methods for domino effect risk management decision-making
Shuaiqi Yuan, Chao Chen, Ming Yang, and Genserik Reniers
15. Domino effect assessment in the framework of industry 4.0
Faisal Khan, Md Tanjin Amin, Valerio Cozzani, and Genserik Reniers