LEADER 04447nam  22007815  450 
001 9910366581003321
005 20200703063959.0
010   $a9783030226800$b(electronic bk.)
010   $a3030226808$b(electronic bk.)
024 7 $a10.1007/978-3-030-22680-0
035   $a(CKB)4100000008878196
035   $a(DE-He213)978-3-030-22680-0
035   $a(MiAaPQ)EBC5941587
035   $a(PPN)238492125
035   $a(EXLCZ)994100000008878196
100   $a20190731d2020      u|         0
101 0 $aeng
135   $aur|n#||||||||
181   $ctxt$2rdacontent
181   $csti$2rdacontent
182   $cc$2rdamedia
183   $acr$2rdacarrier
200 10$aApplied Civil Engineering Risk Analysis /$fby Robb Eric S. Moss
205   $a2nd ed. 2020.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020.
215   $a1 online resource (xi, 180 pages 110 illustrations,  56 illustrations in colour)
311   $a9783030226794 
311   $a3030226794 
320   $aIncludes bibliographical references and index.
327   $aIntroduction -- 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.
330   $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.
606   $aQuality control
606   $aReliability
606   $aIndustrial safety
606   $aFire prevention
606   $aBuildings?Design and construction
606   $aBuilding
606   $aConstruction
606   $aEngineering, Architectural
606   $aApplied mathematics
606   $aEngineering mathematics
606   $aQuality Control, Reliability, Safety and Risk$3https://scigraph.springernature.com/ontologies/product-market-codes/T22032
606   $aFire Science, Hazard Control, Building Safety$3https://scigraph.springernature.com/ontologies/product-market-codes/T23130
606   $aBuilding Construction and Design$3https://scigraph.springernature.com/ontologies/product-market-codes/T23012
606   $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006
615  0$aQuality control.
615  0$aReliability.
615  0$aIndustrial safety.
615  0$aFire prevention.
615  0$aBuildings?Design and construction.
615  0$aBuilding.
615  0$aConstruction.
615  0$aEngineering, Architectural.
615  0$aApplied mathematics.
615  0$aEngineering mathematics.
615 14$aQuality Control, Reliability, Safety and Risk.
615 24$aFire Science, Hazard Control, Building Safety.
615 24$aBuilding Construction and Design.
615 24$aMathematical and Computational Engineering.
676   $a624
700   $aMoss$b Robb Eric S$4aut$4http://id.loc.gov/vocabulary/relators/aut$01061372
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910366581003321
996   $aApplied Civil Engineering Risk Analysis$92518612
997   $aUNINA