Domino Effect: Its Prediction and Prevention

1st Edition, Volume 5 - July 9, 2021
Imprint: Academic Press
Editors: Faisal Khan, Genserik Reniers, Valerio Cozzani
Language: English
Hardback ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 5 1 5 - 1
eBook ISBN:
9 7 8 - 0 - 3 2 3 - 9 1 5 1 6 - 8

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 ele… Read more

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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.

Cover image
Title page
Table of Contents
Copyright
Contributors
Preface
Chapter One: Domino effect: Its prediction and prevention—An overview
Abstract
1: Background
2: Evolving methods for domino effect assessment
3: Evolving methods for domino effect prevention
4: Purpose and organization of this volume
Chapter Two: State of the art in domino effect modeling
Abstract
1: Introduction
2: Quantitative risk assessment of domino effect and escalation scenarios
3: Equipment vulnerability models
4: Conclusions
Chapter Three: Fire driven domino effect
Abstract
1: Introduction
2: Equipment damage caused by fire
3: Modeling the behavior of equipment exposed to fire
4: Conclusions
Chapter Four: Explosion (overpressure) driven domino effect
Abstract
1: Introduction
2: The characterization of explosion by overpressure
3: Overpressure-driven domino effects
4: Vulnerability functions based on overpressure
5: Conclusions
Chapter Five: Projectile (missile) driven domino effect
Abstract
1: Introduction
2: Models for the identification of fragment number and fragment shape
3: Models of the assessment of fragment trajectory and fragment impact
4: Models for the assessment of damage caused by fragments
5: Frequency calculation for domino events triggered by fragment impact
6: Analysis of a case-study
7: Conclusions
Chapter Six: Natural events driven domino effect
Abstract
1: Introduction
2: Domino effect in Natech scenarios
3: Quantitative risk assessment of domino effect in Natech scenarios
4: Example of application
5: Conclusions
Chapter Seven: Mitigation of domino effect
Abstract
1: Introduction
2: The definition and role of safety barriers
3: Safety barriers for the mitigation of domino effect
4: Quantitative assessment of domino effect accounting for safety barrier performance
5: Quantitative assessment of safety barrier performance
6: Conclusions
Chapter Eight: Advanced methods for risk assessment and management of domino effect
Abstract
1: Introduction
2: CFD/FEM models
3: Probabilistic models
4: Other advanced models
Chapter Nine: Domino effect security risk assessment
Abstract
1: Introduction
2: Threat analysis
3: Attractiveness analysis
4: Vulnerability of installations exposed to attacks
5: Vulnerability of installations exposed to subsequent domino effects
6: Consequence analysis
7: Conclusions
Chapter Ten: Bayesian methods in domino effect analysis
Abstract
1: Introduction
2: Bayesian networks
3: Domino effect modeling
4: Domino effect mitigating
5: Application of Noisy-OR
6: Summary
Chapter Eleven: Uncertainty in domino effects analysis
Abstract
1: Importance of the data in domino effect analysis
2: Source of the data
3: Uncertainty in the data and models
4: How to conduct uncertainty analysis
Chapter Twelve: Approaches to domino effects evolution and risk assessment
Abstract
1: Introduction
2: Classification of modeling approaches
3: Conclusions
Chapter Thirteen: Domino effect risk management: Decision making methods
Abstract
1: Introduction of risk management and decision making
2: Multi criteria decision-making (MCDM)
3: Quantification of qualitative data for multi criteria problems
4: Multi-objective decision making (MODM)
5: Exact and heuristic approaches
6: Stochastic multi-objective programing
7: Applications
Chapter Fourteen: Methods for domino effect risk management decision-making
Abstract
1: Introduction of a risk management framework
2: Cost-benefit management methods
3: Graph-theoretic approaches
4: Bayesian Network-based approaches
5: Simulation-based approaches
6: Conclusions
Chapter Fifteen: Domino effect assessment in the framework of industry 4.0
Abstract
1: Introduction
2: Computational fluid dynamics (CFD)
3: Methodology
4: Application of the methodology
5: Conclusions

Faisal Khan

Faisal Khan is a Chemical Engineering Professor and Director of the Mary Kay O’Connor Process Safety Center and the Ocean Energy Safety Institute, Texas A &M University. He is the founder of the Centre for Risk Integrity and Safety Engineering (C-RISE), a Fellow of the Canadian Academy of Engineering, the Engineering Institute of Canada, and the Canadian Society of Chemical Engineering. His areas of research interest include offshore safety and risk engineering, inherent safety, risk management, and risk-based integrity assessment and management. Dr. Khan is actively involved with multinational oil and gas industries on the issue of safety and asset integrity. He also served as the Safety and Risk Advisor to the Government of Newfoundland, Canada. He continues to serve as a subject matter expert to many organizations including Lloyd’s Register EMEA, SBM Modco, Intecsea, Technip, and Qatar-gas. He served as a Visiting Professor of Offshore and Marine Engineering at Australian Maritime College (AMC), University of Tasmania, Australia where he led the development of offshore safety and risk engineering group and the initiative of global engagements with many international institutions. He is the recipient of President Outstanding Research Award of 2012-13 at Memorial University, President Outstanding Research Supervision Award of 2013-14 at Memorial University, CSChE National Award on Process Safety Management of 2014, P, and Society of Petroleum Engineer award for his contribution to Health, Safety and Risk Engineering. He has authored over 500 research articles in peer-reviewed journals and conferences on safety, risk, and reliability engineering. He has authored five books on the subject area. He is the Editor of the Journal of Process Safety and Environmental Protection, Safety in Extreme Environment, and ASME Part A (Risk and Uncertainty Analysis). He regularly offers training program/workshop on safety and risk engineering in different places including St John’s, Chennai, Dubai, Beijing, Aberdeen, Cape Town, Doha and Kuala Lumpur.

Affiliations and expertise

Mary Kay O’Connor Process Safety CenterArtie McFerrin Department of Chemical Engineering, Texas A&M University, College Station, TX, USA

Genserik Reniers

Genserik Reniers works at the Universita di Bologna, DICAM in the Laboratory for Industrial Safety and Environmental Sustainability, Bologna in Italy.

Affiliations and expertise

Universita di Bologna, DICAM, Laboratory for Industrial Safety and Environmental Sustainability, Bologna, Italy

Valerio Cozzani

Valerio Cozzani (1968) received his Ph.D. in Chemical Engineering from the University of Pisa (Italy) in 1996. During the Ph.D. he spent an year at the Industrial Hazard Unit (IPSC) of the Ispra European Community Joint Research Centre. After the Ph.D. he joined the National Research Group on Chemical and Environmental Risk of the Italian National Council of Research. Formerly lecturer at the University of Pisa, he is now professor at the Department of Civil, Chemical, Environmental and Materials Engineering of Bologna University, where he leads the Laboratory on Industrial Safety and Environmental Sustainability. He is Director of the academic graduate and undergraduate programs in Chemical Engineering an lectures on unit operations, design, loss prevention and risk assessment. He coordinated several joint university-industry training projects. His main research experience is in the field of safety of chemical processes and of environmental and energy technologies. The specific subjects afforded in his research activity are, among others, the development of innovative methodologies and models for hazard and risk analysis, the development of models for equipment damage and the implementation of procedures for the quantitative assessment of accidental scenarios triggered by external hazard factors. He has a wide experience in leading national and international research projects funded either by public organizations or by private companies. He coordinates the Italian working party on safety in the chemical and process industry (CISAP) and is Member of the Working Party of Loss Prevention (EFCE). He received the Trevor Kletz Merit Award 2015 for outstanding contributions to the field of Process Safety. He serves as Associate Editor of Safety Science and is a member of the Editorial Boards of the Journal of Hazardous Materials and of the Journal of Loss Prevention in the Process Industry.

Affiliations and expertise

Full Professor, University of Bologna, Bologna, Italy

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Domino Effect: Its Prediction and Prevention

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Faisal Khan

Genserik Reniers

Valerio Cozzani

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