Risk Management in Civil Infrastructure (Civil Infrastructure Health and Sustainability)

This book presents several original theories for risk, including __Theory of Risk Monitoring__, and __Theory of Risk Acceptance__, in addition to several analytical models for computing relative and absolute risk. The book discusses risk limit, states of risk, and the emerging concept of risk monitoring. The interrelationships between risk and resilience are also highlighted in an objective manner. The book includes several practical case studies showing how risk management and its components can be used to enhance performance of infrastructures at reasonable costs. 2.3.6 Bayesian Network: Closing Remarks -- 2.4 Markov Networks -- 2.4.1 Case Study 2.3: Trafc a fi nd Functional Class -- 2.4.1.1 Overview -- 2.4.1.2 Potentials -- 2.4.1.3 Results -- 2.4.2 Case Study 2.4: Architectural Vulnerability -- 2.4.2.1 Overview -- 2.4.2.2 Model -- 2.4.2.3 Conditional Probabilities Tables -- 2.4.2.4 Results -- 2.4.3 Case Study 2.3 Revisited: Trafc a fi nd Functional Class -- 2.4.4 Concluding Remarks -- 2.5 Chain Graphs: Combining Bayesian and Markov Networks -- 2.5.1 Overview -- 2.5.2 Case Study 2.5: Risk and Its Components -- 2.5.2.1 Overview -- 2.5.2.2 Model 1.5 Miscellaneous Issues Related to Risk Management -- 1.5.1 Overview -- 1.5.2 Uncertainty -- 1.5.3 Intersections/Links/Networks -- 1.5.4 Multihazards Considerations -- 1.5.5 Snapshot vs. Time Marching -- 1.5.6 Subjective vs. Objective Risk -- 1.5.7 Cascading Effects -- 1.5.8 Unintended Consequences -- References -- Chapter 2 Graph Networks -- 2.1 Introduction -- 2.1.1 Overview -- 2.1.2 Contents of This Chapter -- 2.2 Formal Modeling of Graph Networks -- 2.2.1 Overview -- 2.2.2 Components of Graph Networks -- 2.2.2.1 Nodes -- 2.2.2.2 Links -- 2.2.2.3 Layers -- 2.2.3 Tree vs. Network Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Acknowledgments -- Authors -- Chapter 1 Introduction -- 1.1 Overview -- 1.1.1 Risk Management Landscape -- 1.1.2 What Is Risk? -- 1.1.3 History of Design Paradigms and Risk -- 1.1.4 Convenient Definition for Risk -- 1.2 Risk Basic Components -- 1.2.1 Overview -- 1.2.2 Threat/Hazard/Demand -- 1.2.3 Vulnerability/Capacity -- 1.2.4 Consequences -- 1.2.5 Basic Risk Equation -- 1.2.6 Risk Analogy Principle -- 1.3 Reliability, Exposure, Likelihood, Resilience, and Sustainability -- 1.3.1 Overview 2.2.4 Cyclic vs. Acyclic Networks -- 2.2.5 Observations (Evidence) -- 2.2.5.1 Soft Evidence vs. Hard Evidence -- 2.3 Bayesian Networks -- 2.3.1 Bayesian Theory -- 2.3.2 Definition of Bayesian Networks -- 2.3.3 Templates of BN Examples -- 2.3.4 Case Study 2.1: Absolute Risk vs. Relative Risk -- 2.3.4.1 Overview -- 2.3.4.2 Model -- 2.3.4.3 Conditional Probabilities Tables -- 2.3.4.4 Results -- 2.3.4.5 Concluding Remarks -- 2.3.5 Case Study 2.2: Infrastructure Security -- 2.3.5.1 Overview -- 2.3.5.2 Model -- 2.3.5.3 Conditional Probabilities Tables -- 2.3.5.4 Results 1.3.2 Reliability -- 1.3.3 Exposure -- 1.3.3.1 Exposure Application: Bridge Inspection -- 1.3.4 Likelihood -- 1.3.5 Resilience -- 1.3.5.1 Overview -- 1.3.5.2 Resilience and Its Components -- 1.3.5.3 Resilience Management -- 1.3.5.4 Asset Resilience vs. Community (Network) Resilience -- 1.3.6 Risk Relationships -- 1.3.6.1 Risk Relationship with Resilience -- 1.4 Components of Risk Management -- 1.4.1 Overview -- 1.4.2 Risk Assessment -- 1.4.3 Risk Acceptance -- 1.4.4 Risk Treatment/Improvement -- 1.4.5 Risk Monitoring -- 1.4.6 Risk Communications Content: Probabilistic graph networks -- Risk assessment -- Risk acceptance -- Risk treatment -- Risk monitoring -- Risk communication -- Risk management applications.