000 03630nam a22005655i 4500
001 978-3-030-22680-0
003 DE-He213
005 20220801215404.0
007 cr nn 008mamaa
008 190731s2020 sz | s |||| 0|eng d
020 _a9783030226800
_9978-3-030-22680-0
024 7 _a10.1007/978-3-030-22680-0
_2doi
050 4 _aTH9701-9745
072 7 _aTNKS
_2bicssc
072 7 _aTEC032000
_2bisacsh
072 7 _aTNKS
_2thema
082 0 4 _a621
_223
100 1 _aMoss, Robb Eric S.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
_944074
245 1 0 _aApplied Civil Engineering Risk Analysis
_h[electronic resource] /
_cby Robb Eric S. Moss.
250 _a2nd ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aXI, 180 p. 110 illus., 56 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _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.
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 _aSecurity systems.
_931879
650 0 _aFire prevention.
_99929
650 0 _aBuildings—Protection.
_932293
650 0 _aBuildings—Design and construction.
_932147
650 0 _aEngineering mathematics.
_93254
650 0 _aEngineering—Data processing.
_931556
650 1 4 _aSecurity Science and Technology.
_931884
650 2 4 _aFire Science, Hazard Control, Building Safety.
_932295
650 2 4 _aBuilding Construction and Design.
_932148
650 2 4 _aMathematical and Computational Engineering Applications.
_931559
710 2 _aSpringerLink (Online service)
_944075
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030226794
776 0 8 _iPrinted edition:
_z9783030226817
776 0 8 _iPrinted edition:
_z9783030226824
856 4 0 _uhttps://doi.org/10.1007/978-3-030-22680-0
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c77436
_d77436