Developed as a guide for practitioners and as a textbook for upper-level courses in risk analysis, Risk Analysis in Engineering presents an engineering approach to probabilistic risk analysis (PRA). It particularly emphasizes methods for comprehensive PRA studies, including techniques for risk management. The book requires no prior knowledge of risk analysis and provides the necessary mathematical and engineering foundations. The text relies heavily on, but is not limited to, examples from the nuclear industry, because that is where PRA techniques were first developed. Since PRA provides a best-estimate approach, the author pays special attention to explaining uncertainty characterization.

Introduction and Definitions. Elements of Risk Assessment. Probabilistic Risk Assessment. Performance Assessment: Data and Modeling. Uncertainty Analysis. Identifying, Ranking, and Predicting Contributors to Risk. Risk Acceptance Criteria. Decision Making Techniques. Risk Communication.