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  • Format: ePub

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…mehr

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Produktbeschreibung
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.


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Autorenporträt
Mohammad Modarres
Rezensionen
"... this book contains the most used procedures and practices particularly in conducting probabilistic risk assessments of complex systems such nuclear power plants. One of the special feature of this gook is the inclusion of several worked out examples in the text and also a large number of exercises at the end of each chapters. This feature makes it very useful for the undergraduate, graduate students, who would like to study the subject of risk modeling, assessment and management as a part of their curricula. ... the reviewer would like to recommend this book to all those practicing engineers, students, teachers, and researchers, who would like to make in depth study of the probabilistic risk assessment and associated problems and are looking for their solutions. This is a most comprehensive treatment of the subject."
- K. B. Misra, in International Journal of Performability Engineering, (IJPE), July 2006