國立虎尾科技大學 |

Applied Civil Engineering Risk Analysis

Record Type:	Language materials, printed : Monograph/item
Title/Author:	Applied Civil Engineering Risk Analysis/ by Robb Eric S. Moss.
Author:	Moss, Robb Eric S.
Description:	XI, 180 p. 110 illus., 56 illus. in color.online resource. :
Contained By:	Springer Nature eBook
Subject:	Quality control. -
Online resource:	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:

573723
Quality control.

LC Class. No.: TA169.7

Dewey Class. No.: 658.56

Applied Civil Engineering Risk Analysis
LDR:02906nam a22004095i 4500 001 1026828
003 DE-He213
005 20200703063959.0
007 cr nn 008mamaa
008 210318s2020 gw | s |||| 0|eng d
020 $a 9783030226800 $9 978-3-030-22680-0
024 7 $a 10.1007/978-3-030-22680-0 $2 doi
035 $a 978-3-030-22680-0
050 4 $a TA169.7
050 4 $a T55-55.3
072 7 $a TGPR $2 bicssc
072 7 $a TEC032000 $2 bisacsh
072 7 $a TGPR $2 thema
082 0 4 $a 658.56 $2 23
100 1 $a Moss, Robb Eric S. $e author. $4 aut $4 http://id.loc.gov/vocabulary/relators/aut $3 1323165
245 1 0 $a Applied Civil Engineering Risk Analysis $h [electronic resource] / $c by Robb Eric S. Moss.
250 $a 2nd ed. 2020.
264 1 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2020.
300 $a XI, 180 p. 110 illus., 56 illus. in color. $b online resource.
336 $a text $b txt $2 rdacontent
337 $a computer $b c $2 rdamedia
338 $a online resource $b cr $2 rdacarrier
347 $a text file $b PDF $2 rda
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.
650 0 $a Quality control. $3 573723
650 0 $a Reliability. $3 573603
650 0 $a Industrial safety. $3 568114
650 0 $a Fire prevention. $3 885771
650 0 $a Buildings—Design and construction. $3 1254621
650 0 $a Building. $3 557609
650 0 $a Construction. $3 1254179
650 0 $a Engineering, Architectural. $3 845652
650 0 $a Applied mathematics. $3 1069907
650 0 $a Engineering mathematics. $3 562757
650 1 4 $a Quality Control, Reliability, Safety and Risk. $3 671184
650 2 4 $a Fire Science, Hazard Control, Building Safety. $3 1141481
650 2 4 $a Building Construction and Design. $3 1114677
650 2 4 $a Mathematical and Computational Engineering. $3 1139415
710 2 $a SpringerLink (Online service) $3 593884
773 0 $t Springer Nature eBook
776 0 8 $i Printed edition: $z 9783030226794
776 0 8 $i Printed edition: $z 9783030226817
776 0 8 $i Printed edition: $z 9783030226824
856 4 0 $u https://doi.org/10.1007/978-3-030-22680-0
912 $a ZDB-2-ENG
912 $a ZDB-2-SXE
950 $a Engineering (SpringerNature-11647)
950 $a Engineering (R0) (SpringerNature-43712)