Risk-Based Reliability Analysis and Generic Principles for Risk Reduction

Author:   Michael T Todinov
Publisher:   Elsevier Science
ISBN:  

9781280746673


Pages:   373
Publication Date:   01 January 2006
Format:   Undefined
Availability:   Available To Order   Availability explained
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Risk-Based Reliability Analysis and Generic Principles for Risk Reduction


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Overview

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 analysesCovers risk-based reliability analysis and generic principles for reducing riskProvides a new measure of risk based on the distribution of the potential losses from failure as well as the basic principles for risk-based designIncorporates fast algorithms for system reliability analysis and discrete-event simulatorsIncludes the probability of failure of a structure with complex shape expressed with a simple equation

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Author:   Michael T Todinov
Publisher:   Elsevier Science
Imprint:   Elsevier Science
ISBN:  

9781280746673


ISBN 10:   128074667
Pages:   373
Publication Date:   01 January 2006
Audience:   General/trade ,  General
Format:   Undefined
Publisher's Status:   Active
Availability:   Available To Order   Availability explained
We have confirmation that this item is in stock with the supplier. It will be ordered in for you and dispatched immediately.

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