Reliability and Risk Models: Setting Reliability Requirements

Presenting a radically new approach and technology for setting reliability requirements, this superb book also provides the first comprehensive overview of the M/F-FOP philosophy and its applications. * Each chapter covers probabilistic models, statistical and numerical procedures, applications and/or case studies * Comprehensively examines a new methodology for problem solving in the context of real reliability engineering problems * All models have been implemented in C++ * The algorithms and programming code supplied can be used as a software toolbox for setting MFFOP * Case studies are taken from the nuclear, automotive and offshore industry to provide 'real-world' applications.Content: Chapter 1 Some Basic Reliability Concepts (pages 1–18): Chapter 2 Common Reliability and Risk Models and Their Applications (pages 19–52): Chapter 3 Reliability and Risk Models Based on Mixture Distributions (pages 53–68): Chapter 4 Building Reliability and Risk Models (pages 69–83): Chapter 5 Load–Strength (Demand–Capacity) Models (pages 85–103): Chapter 6 Solving Reliability and Risk Models Using a Monte Carlo Simulation (pages 105–131): Chapter 7 Analysis of the Properties of Inhomogeneous Media Using Monte Carlo Simulations (pages 133–144): Chapter 8 Mechanisms of Failure (pages 145–157): Chapter 9 Overstress Reliability Integral and Damage Factorisation Law (pages 159–164): Chapter 10 Determining the Probability of Failure for Components Containing Flaws (pages 165–177): Chapter 11 Uncertainty Associated with the Location of the Ductile?to?Brittle Transition Region of Multi?Run Welds (pages 179–189): Chapter 12 Modelling the Kinetics of Deterioration of Protective Coatings Due to Corrosion (pages 191–197): Chapter 13 Minimising the Probability of Failure of Automotive Suspension Springs by Delaying the Fatigue Failure Mode (pages 199–204): Chapter 14 Reliability Governed by the Relative Locations of Random Variables in a Finite Domain (pages 205–219): Chapter 15 Reliability Dependent on the Existence of Minimum Critical Distances between the Locations of Random Variables in a Finite Interval (pages 221–238): Chapter 16 Reliability Analysis and Setting Reliability Requirements Based on the Cost of Failure (pages 239–265):