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Applied Civil Engineering Risk Analysis

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Applied Civil Engineering Risk Analysis/ by Robb Eric S. Moss.
作者:	Moss, Robb Eric S.
面頁冊數:	XI, 180 p. 110 illus., 56 illus. in color.online resource. :
Contained By:	Springer Nature eBook
標題:	Mathematical and Computational Engineering. -
電子資源:	https://doi.org/10.1007/978-3-030-22680-0
ISBN:	9783030226800

Applied Civil Engineering Risk Analysis
Moss, Robb Eric S.

Applied Civil Engineering Risk Analysis[electronic resource] /by Robb Eric S. Moss. - 2nd ed. 2020. - XI, 180 p. 110 illus., 56 illus. in color.online resource.

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.

ISBN: 9783030226800

Standard No.: 10.1007/978-3-030-22680-0doiSubjects--Topical Terms:

1139415
Mathematical and Computational Engineering.

LC Class. No.: TA169.7

Dewey Class. No.: 658.56

Applied Civil Engineering Risk Analysis
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