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Applied civil engineering risk analysis

Moss, Robb Eric S.

Applied civil engineering risk analysis

Record Type:	Electronic resources : Monograph/item
Title/Author:	Applied civil engineering risk analysisby Robb Eric S. Moss.
Author:	Moss, Robb Eric S.
Published:	Cham :Springer International Publishing :2020.
Description:	xi, 180 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Civil engineeringRisk assessment.
Online resource:	https://doi.org/10.1007/978-3-030-22680-0
ISBN:	9783030226800$q(electronic bk.)

Applied civil engineering risk analysis
Moss, Robb Eric S.

Applied civil engineering risk analysis[electronic resource] /by Robb Eric S. Moss. - Second edition. - Cham :Springer International Publishing :2020. - xi, 180 p. :ill., digital ;24 cm.

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$q(electronic bk.)

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

865619
Civil engineering
--Risk assessment.

LC Class. No.: TA330

Dewey Class. No.: 620.00151

Applied civil engineering risk analysis
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245 1 0 $a Applied civil engineering risk analysis $h [electronic resource] / $c by Robb Eric S. Moss.
250 $a Second edition.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a xi, 180 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
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650 0 $a Reliability (Engineering) $x Mathematical models. $3 182603
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650 2 4 $a Fire Science, Hazard Control, Building Safety. $3 772186
650 2 4 $a Building Construction and Design. $3 761394
650 2 4 $a Mathematical and Computational Engineering. $3 775095
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