000 03435nam a22006255i 4500
001 978-3-319-64528-5
003 DE-He213
005 20210201191455.0
007 cr nn 008mamaa
008 171028s2018 gw | s |||| 0|eng d
020 _a9783319645285
_9978-3-319-64528-5
050 4 _aTA349-359
072 7 _aTGMD
_2bicssc
072 7 _aSCI096000
_2bisacsh
072 7 _aTGMD
_2thema
082 0 4 _a531
_223
100 1 _aPapadopoulos, Vissarion.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
245 1 0 _aStochastic Finite Element Methods
_h[electronic resource] :
_bAn Introduction /
_cby Vissarion Papadopoulos, Dimitris G. Giovanis.
250 _a1st ed. 2018.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2018.
300 _aXXI, 138 p. 53 illus., 26 illus. in color.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aMathematical Engineering,
_x2192-4732
500 _aAcceso multiusuario
505 0 _aStochastic processes -- Representation of a stochastic process -- Stochastic finite element method -- Reliability analysis.
520 _aThe book provides a self-contained treatment of stochastic finite element methods. It helps the reader to establish a solid background on stochastic and reliability analysis of structural systems and enables practicing engineers to better manage the concepts of analysis and design in the presence of uncertainty. The book covers the basic topics of computational stochastic mechanics focusing on the stochastic analysis of structural systems in the framework of the finite element method. The target audience primarily comprises students in a postgraduate program specializing in structural engineering but the book may also be beneficial to practicing engineers and research experts alike.
541 _fUABC ;
_cTemporal ;
_d01/01/2021-12/31/2023.
650 0 _aMechanics.
650 0 _aMechanics, Applied.
650 0 _aProbabilities.
650 0 _aApplied mathematics.
650 0 _aEngineering mathematics.
650 0 _aComputer simulation.
650 1 4 _aSolid Mechanics.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T15010
650 2 4 _aProbability Theory and Stochastic Processes.
_0https://scigraph.springernature.com/ontologies/product-market-codes/M27004
650 2 4 _aMathematical and Computational Engineering.
_0https://scigraph.springernature.com/ontologies/product-market-codes/T11006
650 2 4 _aSimulation and Modeling.
_0https://scigraph.springernature.com/ontologies/product-market-codes/I19000
700 1 _aGiovanis, Dimitris G.
_eauthor.
_4aut
_4http://id.loc.gov/vocabulary/relators/aut
710 2 _aSpringerLink (Online service)
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783319645278
776 0 8 _iPrinted edition:
_z9783319645292
776 0 8 _iPrinted edition:
_z9783319878119
830 0 _aMathematical Engineering,
_x2192-4732
856 4 0 _zLibro electrónico
_uhttp://148.231.10.114:2048/login?url=https://doi.org/10.1007/978-3-319-64528-5
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cLIBRO_ELEC
999 _c243873
_d243872