Risk-Based Reliability Analysis and Generic Principles for Risk Reduction

Informationen zum Autor Prof. Todinov's background is Engineering, Mathematics and Computer Science. He holds a PhD and a higher doctorate (DEng) from the University of Birmingham. His name is associated with key results in the areas: Reliability and Risk, Flow networks, Probability, Statistics of inhomogeneous media, Theory of phase transformations, Residual stresses and Probabilistic fatigue and fracture. M.Todinov pioneered research on: the theory of repairable flow networks and networks with disturbed flows, risk-based reliability analysis - driven by the cost of system failure, fracture initiated by flaws in components with complex shape, reliability dependent on the relative configurations of random variables and optimal allocation of a fixed budget to achieve a maximal risk reduction. A sample of M.Todinov's results include: introducing the hazard stress function for modelling the probability of failure of materials and deriving the correct alternative of the Weibull model; stating a theorem regarding the exact upper bound of properties from multiple sources and a theorem regarding variance of a distribution mixture; the formulation and proof of the necessary and sufficient conditions of the Palmgren-Miner rule and Scheil's additivity rule; deriving the correct alternative of the Johnson-Mehl-Avrami-Kolmogorov equation and stating the dual network theorems for static flows networks and networks with disturbed flows. Klappentext Offers a shift in the existing paradigm for conducting reliability analyses. This book covers risk-based reliability analysis and generic principles for reducing risk. It provides a measure of risk based on the distribution of the potential losses from failure as well as the basic principles for risk-based design. Zusammenfassung Offers a shift in the existing paradigm for conducting reliability analyses. This book covers risk-based reliability analysis and generic principles for reducing risk. It provides a measure of risk based on the distribution of the potential losses from failure as well as the basic principles for risk-based design. Inhaltsverzeichnis Chapter 1: RISK-BASED RELIABILITY ANALYSIS: A POWERFUL ALTERNATIVE TO THE TRADITIONAL RELIABILITY ANALYSIS Chapter 2: BASIC RELIABILITY CONCEPTS AND CONVENTIONS USED FOR DETERMINING THE LOSSES FROM FAILURES Chapter 3: METHODS FOR ANALYSIS OF COMPLEX RELIABILITY NETWORKS Chapter 4: PROBABILISTIC RISK ASSESSMENT AND RISK MANAGEMENT Chapter 5: POTENTIAL LOSS FROM FAILURE FOR NON-REPAIRABLE COMPONENTS AND SYSTEMS WITH MULTIPLE FAILURE MODES Chapter 6: LOSSES FROM FAILURES FOR REPAIRABLE SYSTEMS WITH COMPONENTS LOGICALLY ARRANGED IN SERIES Chapter 7: RELIABILITY ANALYSIS OF COMPLEX REPAIRABLE SYSTEMS BASED ON CONSTRUCTING THE DISTRIBUTION OF THE POTENTIAL LOSSES Chapter 8: RELIABILITY VALUE ANALYSIS FOR COMPLEX SYSTEMS Chapter 9: RELIABILITY ALLOCATION BASED ON MINIMISING THE TOTAL COST Chapter 10: GENERIC APPROACHES TO REDUCING THE LIKELIHOOD OF CRITICAL FAILURES Chapter 11: SPECIFIC PRINCIPLES FOR REDUCING THE LIKELIHOOD OF FAILURES Chapter 12: REDUCING THE RISK OF FAILURE BY REDUCING THE NEGATIVE IMPACT FROM THE VARIABILITY OF DESIGN PARAMETERS Chapter 13: GENERIC SOLUTIONS FOR REDUCING THE LIKELIHOOD OF OVERSTRESS AND WEAROUT FAILURES Chapter 14: REDUCING THE RISK OF FAILURE BY REMOVING LATENT FAULTS, AND AVOIDING COMMON CAUSE FAILURES Chapter 15: CONSEQUENCE ANALYSIS AND GENERIC PRINCIPLES FOR REDUCING THE CONSEQUENCES FROM FAILURES Chapter 16: LOCALLY INITIATED FAILURE AND RISK REDUCTION APPENDIX: MONTE CARLO SIMULATION ROUTINES USED IN THE ALGORITHMS FOR RISK-BASED RELIABILITY ANALYSIS REFERENCES INDEX ...

Autorentext
Prof. Todinov's background is Engineering, Mathematics and Computer Science. He holds a PhD and a higher doctorate (DEng) from the University of Birmingham. His name is associated with key results in the areas: Reliability and Risk, Flow networks, Probability, Statistics of inhomogeneous media, Theory of phase transformations, Residual stresses and Probabilistic fatigue and fracture. M.Todinov pioneered research on: the theory of repairable flow networks and networks with disturbed flows, risk-based reliability analysis - driven by the cost of system failure, fracture initiated by flaws in components with complex shape, reliability dependent on the relative configurations of random variables and optimal allocation of a fixed budget to achieve a maximal risk reduction.A sample of M.Todinov's results include: introducing the hazard stress function for modelling the probability of failure of materials and deriving the correct alternative of the Weibull model; stating a theorem regarding the exact upper bound of properties from multiple sources and a theorem regarding variance of a distribution mixture; the formulation and proof of the necessary and sufficient conditions of the Palmgren-Miner rule and Scheil's additivity rule; deriving the correct alternative of the Johnson-Mehl-Avrami-Kolmogorov equation and stating the dual network theorems for static flows networks and networks with disturbed flows.

Klappentext
Offers a shift in the existing paradigm for conducting reliability analyses. This book covers risk-based reliability analysis and generic principles for reducing risk. It provides a measure of risk based on the distribution of the potential losses from failure as well as the basic principles for risk-based design.

Inhalt

Chapter 1: RISK-BASED RELIABILITY ANALYSIS: A POWERFUL ALTERNATIVE TO THE TRADITIONAL RELIABILITY ANALYSIS

Chapter 2: BASIC RELIABILITY CONCEPTS AND CONVENTIONS USED FOR DETERMINING THE LOSSES FROM FAILURES

Chapter 3: METHODS FOR ANALYSIS OF COMPLEX RELIABILITY NETWORKS

Chapter 4: PROBABILISTIC RISK ASSESSMENT AND RISK MANAGEMENT

Chapter 5: POTENTIAL LOSS FROM FAILURE FOR NON-REPAIRABLE COMPONENTS AND SYSTEMS WITH MULTIPLE FAILURE MODES

Chapter 6: LOSSES FROM FAILURES FOR REPAIRABLE SYSTEMS WITH COMPONENTS LOGICALLY ARRANGED IN SERIES

Chapter 7: RELIABILITY ANALYSIS OF COMPLEX REPAIRABLE SYSTEMS BASED ON CONSTRUCTING THE DISTRIBUTION OF THE POTENTIAL LOSSES

Chapter 8: RELIABILITY VALUE ANALYSIS FOR COMPLEX SYSTEMS

Chapter 9: RELIABILITY ALLOCATION BASED ON MINIMISING THE TOTAL COST

Chapter 10: GENERIC APPROACHES TO REDUCING THE LIKELIHOOD OF CRITICAL FAILURES

Chapter 11: SPECIFIC PRINCIPLES FOR REDUCING THE LIKELIHOOD OF FAILURES

Chapter 12: REDUCING THE RISK OF FAILURE BY REDUCING THE NEGATIVE IMPACT FROM THE VARIABILITY OF DESIGN PARAMETERS

Chapter 13: GENERIC SOLUTIONS FOR REDUCING THE LIKELIHOOD OF OVERSTRESS AND WEAROUT FAILURES

Chapter 14: REDUCING THE RISK OF FAILURE BY REMOVING LATENT FAULTS, AND AVOIDING COMMON CAUSE FAILURES

Chapter 15: CONSEQUENCE ANALYSIS AND GENERIC PRINCIPLES FOR REDUCING THE CONSEQUENCES FROM FAILURES

Chapter 16: LOCALLY INITIATED FAILURE AND RISK REDUCTION

APPENDIX: MONTE CARLO SIMULATION ROUTINES USED IN THE ALGORITHMS FOR RISK-BASED RELIABILITY ANALYSIS

REFERENCES

INDEX