Risk And Reliability Analysis Theory And Applications

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Risk-Based Reliability Analysis and Generic Principles for Risk Reduction

Risk-Based Reliability Analysis and Generic Principles for Risk Reduction
Author :
Publisher : Elsevier
Total Pages : 396
Release :
ISBN-10 : 9780080467559
ISBN-13 : 0080467555
Rating : 4/5 (555 Downloads)

Book Synopsis Risk-Based Reliability Analysis and Generic Principles for Risk Reduction by : Michael T. Todinov

Download or read book Risk-Based Reliability Analysis and Generic Principles for Risk Reduction written by Michael T. Todinov and published by Elsevier. This book was released on 2006-11-03 with total page 396 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book has been written with the intention to fill two big gaps in the reliability and risk literature: the risk-based reliability analysis as a powerful alternative to the traditional reliability analysis and the generic principles for reducing technical risk. An important theme in the book is the generic principles and techniques for reducing technical risk. These have been classified into three major categories: preventive (reducing the likelihood of failure), protective (reducing the consequences from failure) and dual (reducing both, the likelihood and the consequences from failure). Many of these principles (for example: avoiding clustering of events, deliberately introducing weak links, reducing sensitivity, introducing changes with opposite sign, etc.) are discussed in the reliability literature for the first time. Significant space has been allocated to component reliability. In the last chapter of the book, several applications are discussed of a powerful equation which constitutes the core of a new theory of locally initiated component failure by flaws whose number is a random variable. - Offers a shift in the existing paradigm for conducting reliability analyses - Covers risk-based reliability analysis and generic principles for reducing risk - Provides a new measure of risk based on the distribution of the potential losses from failure as well as the basic principles for risk-based design - Incorporates fast algorithms for system reliability analysis and discrete-event simulators - Includes the probability of failure of a structure with complex shape expressed with a simple equation


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