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. Cover image - p. i 2. Table of Contents - p. iii 3. Copyright - p. iii 4. Contributors - p. iii 5. Preface - p. xi 6. Chapter One: Domino effect: Its prediction and prevention—An overview - p. 17 7. Chapter Two: State of the art in domino effect modeling - p. 39 8. Chapter Three: Fire driven domino effect - p. 79 9. Chapter Four: Explosion (overpressure) driven domino effect - p. 126 10. Chapter Five: Projectile (missile) driven domino effect - p. 141 11. Chapter Six: Natural events driven domino effect - p. 192 12. Chapter Seven: Mitigation of domino effect - p. 227 13. Chapter Eight: Advanced methods for risk assessment and management of domino effect - p. 286 14. Chapter Nine: Domino effect security risk assessment - p. 326 15. Chapter Ten: Bayesian methods in domino effect analysis - p. 331 16. Chapter Eleven: Uncertainty in domino effects analysis - p. 365 17. Chapter Twelve: Approaches to domino effects evolution and risk assessment - p. 400 18. Chapter Thirteen: Domino effect risk management: Decision making methods - p. 421 19. Chapter Fourteen: Methods for domino effect risk management decision-making - p. 473 20. Chapter Fifteen: Domino effect assessment in the framework of industry 4.0 - p. 509
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. Cover image - p. i 2. Table of Contents - p. iii 3. Copyright - p. iii 4. Contributors - p. iii 5. Preface - p. xi 6. Chapter One: Domino effect: Its prediction and prevention—An overview - p. 17 7. Chapter Two: State of the art in domino effect modeling - p. 39 8. Chapter Three: Fire driven domino effect - p. 79 9. Chapter Four: Explosion (overpressure) driven domino effect - p. 126 10. Chapter Five: Projectile (missile) driven domino effect - p. 141 11. Chapter Six: Natural events driven domino effect - p. 192 12. Chapter Seven: Mitigation of domino effect - p. 227 13. Chapter Eight: Advanced methods for risk assessment and management of domino effect - p. 286 14. Chapter Nine: Domino effect security risk assessment - p. 326 15. Chapter Ten: Bayesian methods in domino effect analysis - p. 331 16. Chapter Eleven: Uncertainty in domino effects analysis - p. 365 17. Chapter Twelve: Approaches to domino effects evolution and risk assessment - p. 400 18. Chapter Thirteen: Domino effect risk management: Decision making methods - p. 421 19. Chapter Fourteen: Methods for domino effect risk management decision-making - p. 473 20. Chapter Fifteen: Domino effect assessment in the framework of industry 4.0 - p. 509
