Applied Civil Engineering Risk Analysis

Description

This updated edition retains its introduction to applied fundamental statistics, probability, reliability, and decision theory as these pertain to problems in Civil Engineering. The new edition adds an expanded treatment of systems reliability, Bayesian methods, and spatial variabililty, along with additional example problems throughout. The book provides readers with the tools needed to determine the probability of failure, and when multiplied by the consequences of failure, illustrates how to assess the risk of civil engineering problems. Presenting methods for quantifying uncertainty that exists in engineering analysis and design, with an emphasis on fostering more accurate analysis and design, the text is ideal for students and practitioners of a range of civil engineering disciplines. Expands on the class-tested pedagogy from the first edition with more material and more examples;Broadens understanding with simulations coded both in Matlab and in R; Features new chapters on spatial variability and Bayesian methods;Emphasizes techniques for estimating the influence of uncertainty on the probability of failure Front Matter ....Pages i-xi Introduction (Robb Eric S. Moss)....Pages 1-9 Data Analysis/Sample Statistics (Robb Eric S. Moss)....Pages 11-22 Elementary Probability and Set Theory (Robb Eric S. Moss)....Pages 23-40 Random Variables and Probability Distributions (Robb Eric S. Moss)....Pages 41-60 Functions of Random Variables: Error Propagation (Robb Eric S. Moss)....Pages 61-88 Component Reliability Analysis (Robb Eric S. Moss)....Pages 89-107 System Reliability Analysis (Robb Eric S. Moss)....Pages 109-122 Introduction to Decision Analysis (Robb Eric S. Moss)....Pages 123-132 Reliability-Based Codes (LRFD) (Robb Eric S. Moss)....Pages 133-139 Spatial Variability (Robb Eric S. Moss)....Pages 141-151 Bayesian Updating (Robb Eric S. Moss)....Pages 153-163 Back Matter ....Pages 165-180