Introduction.- Data Analysis/Sample Statistics.- Elementary Probability and Set Theory.- Random Variables and Probability Distributions.- Functions of Random Variables: Error Propagation.- Component Reliability Analysis.- System Reliability Analysis.- Introduction to Decision Analysis.- Reliability-Based Codes (LRFD).- Spatial Variability.- Bayesian Updating.- References.- Appendix A.- Appendix B.- Appendix C.
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
Dr. Robb Moss is a Professor of Civil and Environmental Engineering at Cal Poly San Luis Obispo. His research and teaching interests include Reliability and Probabilistic Analysis, Lifelines Engineering, Geotechnical Earthquake Engineering, Engineering Risk Analysis Liquefaction Engineering, and Geohazard Mitigation. Dr. Moss is a Fellow of the ASCE and earned his Ph.D. in Geotechnical Earthquake Engineering, UC Berkeley.
Dimensioni: 235 x 155 mm Ø 522 gr
Formato: Copertina rigida
Illustration Notes:54 Illustrations, black and white
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