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|a 660.2804
|2 23
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|a Domino effect :
|b its prediction and prevention /
|c edited by Faisal Khan, Valerio Cozzani, Genserik Reniers.
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|a Cambridge :
|b Academic Press,
|c 2021.
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|a 1 online resource
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|a text
|b txt
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|a Methods in chemical process safety ;
|v v. 5
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|a Intro -- Domino Effect: Its Prediction and Prevention -- Copyright -- Contents -- Contributors -- Preface -- Chapter One: Domino effect: Its prediction and prevention-An overview -- 1. Background -- 1.1. Definition -- 1.2. A brief history -- 2. Evolving methods for domino effect assessment -- 2.1. Deterministic approaches -- 2.1.1. Thresholds for heat radiation -- 2.1.2. Thresholds for overpressure -- 2.1.3. Thresholds for fragment projection -- 2.2. Probabilistic approaches -- 2.2.1. Probit models -- 2.2.2. Other probabilistic models -- 3. Evolving methods for domino effect prevention -- 3.1. Technical point of views to prevent domino effect -- 3.2. Managerial point of views to prevent domino effect -- 4. Purpose and organization of this volume -- References -- Chapter Two: State of the art in domino effect modeling -- 1. Introduction -- 2. Quantitative risk assessment of domino effect and escalation scenarios -- 2.1. Analytical methods -- 2.2. Graphical methods -- 2.3. Simulation methods -- 3. Equipment vulnerability models -- 3.1. Damage due to blast waves -- 3.2. Damage due to fragment impact -- 3.3. Damage due to fire -- 4. Conclusions -- References -- Chapter Three: Fire driven domino effect -- 1. Introduction -- 2. Equipment damage caused by fire -- 2.1. Direct mechanical damage caused by fire -- 2.2. Internal pressurization -- 2.3. Experimental tests -- 3. Modeling the behavior of equipment exposed to fire -- 3.1. Introduction to the modeling approaches -- 3.2. Modeling of equipment exposure to fire -- 3.3. Zone models -- 3.4. FEM and CFD approach to the modeling of equipment heat-up and failure -- 3.5. Threshold values for vessel failure -- 3.6. Inherent safety criteria for the prevention of domino effect triggered by fire -- 4. Conclusions -- References -- Chapter Four: Explosion (overpressure) driven domino effect -- 1. Introduction.
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|a 2. The characterization of explosion by overpressure -- 3. Overpressure-driven domino effects -- 4. Vulnerability functions based on overpressure -- 5. Conclusions -- References -- Chapter Five: Projectile (missile) driven domino effect -- 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 -- 5.1. General approach to calculate the frequency for domino events triggered by fragment impact -- 5.2. Typical values of probabilities used to calculate the frequency for domino events triggered by fragment projection -- 6. Analysis of a case-study -- 6.1. Description of the case study -- 6.2. Case study results -- 6.2.1. Fragmentation pattern -- 6.2.2. Fragmentation trajectory -- 6.2.3. Comparison among predictive analysis and actual accident consequences -- 7. Conclusions -- References -- Chapter Six: Natural events driven domino effect -- 1. Introduction -- 2. Domino effect in Natech scenarios -- 3. Quantitative risk assessment of domino effect in Natech scenarios -- 4. Example of application -- 5. Conclusions -- References -- Chapter Seven: Mitigation of domino effect -- 1. Introduction -- 2. The definition and role of safety barriers -- 3. Safety barriers for the mitigation of domino effect -- 3.1. Inherent safety barriers -- 3.2. Passive safety barriers -- 3.3. Active and procedural/emergency safety barriers -- 3.4. Prevention and mitigation of domino effect triggered by fire -- 3.5. Prevention and mitigation of domino effect triggered by overpressure -- 3.6. Prevention and mitigation of domino effect triggered by fragments.
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|a 4. Quantitative assessment of domino effect accounting for safety barrier performance -- 4.1. Integration of safety barrier performance on probabilistic assessment of escalation -- 4.2. Classification of safety barriers and metrics for performance assessment -- 4.3. Modified event tree analysis including safety barrier performance -- 4.4. Integration of safety barrier performance on risk assessment methodologies -- 5. Quantitative assessment of safety barrier performance -- 5.1. Approach to safety barrier performance assessment -- 5.2. Baseline performance for safety barriers applied in the mitigation of domino effect -- 5.2.1. Active safety barriers -- 5.2.2. Passive safety barriers -- 5.2.3. Procedural/emergency safety barriers -- 6. Conclusions -- References -- Chapter Eight: Advanced methods for risk assessment and management of domino effect -- 1. Introduction -- 2. CFD/FEM models -- 2.1. Model procedure and effectiveness -- 2.2. Applications of CFD models -- 2.2.1. Fire-induced domino effect -- 2.2.2. Explosion-induced domino effect -- 2.2.3. Gas leakage-induced domino effect -- 2.3. Application of finite element method (FEM) on domino effect analysis -- 3. Probabilistic models -- 3.1. Modeling procedure and effectiveness -- 3.2. Applications of probabilistic models -- 3.2.1. Vulnerability modeling -- 3.2.2. Accident evolution modeling and risk assessment -- 3.2.3. Risk management -- 4. Other advanced models -- 4.1. Model effectiveness -- 4.2. Applications of models -- 4.2.1. Vulnerability modeling -- 4.2.2. Accident evolution modeling and risk assessment -- 4.2.3. Risk management -- References -- Chapter Nine: Domino effect security risk assessment -- 1. Introduction -- 2. Threat analysis -- 3. Attractiveness analysis -- 4. Vulnerability of installations exposed to attacks.
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|a 5. Vulnerability of installations exposed to subsequent domino effects -- 5.1. Escalation induced by heat radiation -- 5.2. Escalation induced by overpressure -- 5.3. Escalation induced by fragments -- 6. Consequence analysis -- 6.1. Loss of human life -- 6.2. Property damage -- 6.3. Other consequences -- 6.4. Total consequence evaluation -- 7. Conclusions -- References -- Chapter Ten: Bayesian methods in domino effect analysis -- 1. Introduction -- 2. Bayesian networks -- 2.1. Conventional Bayesian network -- 2.2. Dynamic Bayesian network -- 2.3. Influence diagram -- 3. Domino effect modeling -- 3.1. Application of Bayesian network -- 3.2. Application of dynamic Bayesian network -- 4. Domino effect mitigating -- 4.1. Modeling add-on safety systems -- 4.2. Modeling firefighting -- 4.2.1. Application of influence diagram -- 4.2.2. Application of dynamic influence diagram -- 5. Application of Noisy-OR -- 6. Summary -- References -- Chapter Eleven: Uncertainty in domino effects analysis -- 1. Importance of the data in domino effect analysis -- 1.1. The importance of calculation probability in domino -- 1.1.1. Probability structure of domino scene -- 1.1.2. Fire heat radiation damage probability -- 1.1.3. Probability of damage caused by the explosion shock wave -- 1.1.4. Probability of damage caused by explosive fragments -- 1.2. Importance of the databases in domino effect analysis -- 2. Source of the data -- 2.1. Source of the main data -- 2.2. Other databases -- 3. Uncertainty in the data and models -- 3.1. Introduction of uncertainty in risk assessment -- 3.1.1. The concept of uncertainty -- 3.1.2. The type of uncertainty -- 3.2. Uncertainty in data of domino effect -- 3.3. Uncertainty in the models of domino effect -- 4. How to conduct uncertainty analysis -- 4.1. Introduction of uncertainty analysis -- 4.2. Uncertainty analysis methods.
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|a 4.2.1. Bayesian network technology -- 4.2.2. Random sampling guesswork -- 4.2.3. Monte Carlo simulation -- 4.2.4. Latin hypercube sampling -- 4.2.5. The product limit estimate -- 4.3. Examples for conducting uncertainty analysis -- 4.3.1. The vapor cloud explosion model -- 4.3.2. Pipeline gas leakage model -- 4.4. Combined uncertainty and deterministic analysis -- References -- Chapter Twelve: Approaches to domino effects evolution and risk assessment -- 1. Introduction -- 2. Classification of modeling approaches -- 2.1. Vulnerability modeling -- 2.1.1. Threshold methods -- 2.1.2. Distance-based approach -- 2.1.3. Probit models -- 2.1.4. CFD/FEM methods -- 2.2. Evolution modeling and risk assessment of domino effects -- 2.2.1. Analytical methods -- 2.2.2. Graphical methods -- 2.2.3. Simulation methods -- 3. Conclusions -- References -- Chapter Thirteen: Domino effect risk management: Decision making methods -- 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) -- 4.1. Concept -- 4.2. Methods -- 4.3. Applications -- 4.4. Process safety -- 4.4.1. Domino effect -- 5. Exact and heuristic approaches -- 5.1. Exact methods -- 5.2. Meta-heuristic methods -- 5.2.1. NSGAII algorithm -- 6. Stochastic multi-objective programing -- 6.1. Multi-objectivity relaxation -- 6.2. Uncertainty relaxation -- 7. Applications -- References -- Chapter Fourteen: Methods for domino effect risk management decision-making -- 1. Introduction of a risk management framework -- 2. Cost-benefit management methods -- 2.1. Economic model for tackling intentional domino effects -- 2.1.1. Threat analysis -- 2.1.2. Vulnerability assessment of installations against direct intentional attacks.
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|a Chemical processes
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7 |
|a Chemical processes
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|0 (OCoLC)fst00853167
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| 700 |
1 |
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|a Khan, Faisal I.
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| 700 |
1 |
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|a Cozzani, Valerio.
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| 700 |
1 |
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|a Reniers, Genserik L. L.
|
| 776 |
0 |
8 |
|i Print version:
|z 9780323915168
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| 776 |
0 |
8 |
|i Print version:
|t Domino effect.
|d Cambridge : Academic Press, 2021
|z 0323915159
|z 9780323915151
|w (OCoLC)1250512660
|
| 830 |
|
0 |
|a Methods in chemical process safety ;
|v v. 5.
|
