Risk and Reliability Analysis

by Vijay Singh (Author), Sharad Jain (Author), and Aditya Tyagi (Author)



When it comes to the planning, design, construction, and management of engineering systems, risk and uncertainty are unavoidable. The consideration of the risk involved in any situation, project, or plan becomes an integral part of the decision-making process. Risk and Reliability Analysis: A Handbook for Civil and Environmental Engineers presents key concepts of risk and reliability that apply to a wide array of problems in civil and environmental engineering. The authors begin with an overview of the art of making decisions in the presence of uncertainty and then explain the fundamentals of probability that will be applied throughout the book. In the second part of the book, the authors discuss various techniques used in probability distributions and parameter estimation. A third section of the book considers different aspects of uncertainty analysis, especially risk analysis and risk management, providing instructive examples. The final group of chapters addresses reliability analysis and design, focusing particularly on the important area of water distribution networks. Ample illustrations and detailed real-life examples make Risk and Reliability Analysis essential reading for present and future engineers in the fields of civil, environmental, biological, and agricultural engineering, as well as the watershed sciences.

Table of Contents
               
Front Matter
pp. i-xiv

PART 1 PRELIMINARIES

Chapter 1     Rational Decision Making Under Uncertainty
pp. 1-35
       
Chapter 2     Elements of Probability
pp. 36-94
               
Chapter 3     Moments and Expectation
pp. 95-145

PART 2 PROBABILITY DISTRIBUTIONS AND PARAMETER ESTIMATION
       
Chapter 4     Discrete and Continuous Probability Distributions
pp. 149-186
       
Chapter 5     Limit and Other Distributions
pp. 187-251
       
Chapter 6     Impulse Response Functions as Probability Distributions
pp. 252-271
       
Chapter 7     Multivariate Probability Distributions
pp. 272-312
       
Chapter 8     Parameter Estimation
pp. 313-355

Chapter 9     Entropy Theory and Its Applications in Risk Analysis
pp. 356-391

PART 3 UNCERTAINTY ANALYSIS

Chapter 10     Error and Uncertainty Analysis
pp. 393-436
       
Chapter 11     Monte Carlo Simulation
pp. 437-485
       
Chapter 12     Stochastic Processes
pp. 486-514
       
Chapter 13     Stochastic Differential Equations
pp. 515-560

PART 4 RISK AND RELIABILITY ANALYSIS

Chapter 14     Reliability Analysis and Estimation
pp. 561-668
       
Chapter 15     Risk Analysis and Management
pp. 669-711
       
Chapter 16     Reliability Analysis of Water Distribution Networks
pp. 712-749

References
pp. 751-767
               
Index
pp. 769-783
       
Back Matter
pp. 785-785