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001 978-3-030-38156-1
003 DE-He213
005 20220801213919.0
007 cr nn 008mamaa
008 200303s2020 sz | s |||| 0|eng d
020 _a9783030381561
_9978-3-030-38156-1
024 7 _a10.1007/978-3-030-38156-1
_2doi
050 4 _aTA349-359
072 7 _aTGMD
_2bicssc
072 7 _aSCI096000
_2bisacsh
072 7 _aTGMD
_2thema
082 0 4 _a620.105
_223
245 1 0 _aVirtual Design and Validation
_h[electronic resource] /
_cedited by Peter Wriggers, Olivier Allix, Christian Weißenfels.
250 _a1st ed. 2020.
264 1 _aCham :
_bSpringer International Publishing :
_bImprint: Springer,
_c2020.
300 _aVIII, 347 p. 201 illus., 162 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 _aLecture Notes in Applied and Computational Mechanics,
_x1860-0816 ;
_v93
505 0 _aExperiments and Virtual Design -- Composites -- Fracture and Fatigue -- Uncertainty Quantification.
520 _aThis book provides an overview of the experimental characterization of materials and their numerical modeling, as well as the development of new computational methods for virtual design. Its 17 contributions are divided into four main sections: experiments and virtual design, composites, fractures and fatigue, and uncertainty quantification. The first section explores new experimental methods that can be used to more accurately characterize material behavior. Furthermore, it presents a combined experimental and numerical approach to optimizing the properties of a structure, as well as new developments in the field of computational methods for virtual design. In turn, the second section is dedicated to experimental and numerical investigations of composites, with a special focus on the modeling of failure modes and the optimization of these materials. Since fatigue also includes wear due to frictional contact and aging of elastomers, new numerical schemes in the field of crack modeling and fatigue prediction are also discussed. The input parameters of a classical numerical simulation represent mean values of actual observations, though certain deviations arise: to illustrate the uncertainties of parameters used in calculations, the book’s final section presents new and efficient approaches to uncertainty quantification.
650 0 _aMechanics, Applied.
_93253
650 0 _aSolids.
_93750
650 0 _aMicrotechnology.
_928219
650 0 _aMicroelectromechanical systems.
_96063
650 0 _aNumerical analysis.
_94603
650 1 4 _aSolid Mechanics.
_931612
650 2 4 _aMicrosystems and MEMS.
_935167
650 2 4 _aNumerical Analysis.
_94603
700 1 _aWriggers, Peter.
_eeditor.
_0(orcid)0000-0002-2676-1145
_1https://orcid.org/0000-0002-2676-1145
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935168
700 1 _aAllix, Olivier.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935169
700 1 _aWeißenfels, Christian.
_eeditor.
_0(orcid)0000-0002-5011-4466
_1https://orcid.org/0000-0002-5011-4466
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_935170
710 2 _aSpringerLink (Online service)
_935171
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783030381554
776 0 8 _iPrinted edition:
_z9783030381578
776 0 8 _iPrinted edition:
_z9783030381585
830 0 _aLecture Notes in Applied and Computational Mechanics,
_x1860-0816 ;
_v93
_935172
856 4 0 _uhttps://doi.org/10.1007/978-3-030-38156-1
912 _aZDB-2-ENG
912 _aZDB-2-SXE
942 _cEBK
999 _c75743
_d75743