Ulteriori informazioni
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 inR;
- Features new chapters on spatial variability and Bayesian methods;
- Emphasizes techniques for estimating the influence of uncertainty on the probability of failure
Sommario
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.
Info autore
Robb Eric S. Moss, Ph.D., P.E., F.ASCE, is a professor in the Civil and Environmental Engineering Department at California Polytechnic State University, San Luis Obispo, California. He earned a Ph.D. from U.C. Berkeley in the field of geotechnical earthquake engineering, with minors in engineering seismology and structural reliability. His research and consulting focuses on the physics and probability of natural hazards such as; strong ground motions, seismic soil liquefaction, surface fault rupture, seismic induced landslides, debris flow, and others. His teaching includes undergraduate and graduate courses in; geotechnical engineering, engineering risk analysis, geological engineering, earthquake engineering, and others.
Riassunto
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 inR;
- Features new chapters on spatial variability and Bayesian methods;
- Emphasizes techniques for estimating the influence of uncertainty on the probability of failure
