LEADER 03732nam 22006135 450 001 9910383822303321 005 20210118191531.0 010 $a3-030-38156-0 024 7 $a10.1007/978-3-030-38156-1 035 $a(CKB)5300000000003597 035 $a(DE-He213)978-3-030-38156-1 035 $a(MiAaPQ)EBC6128076 035 $a(PPN)24322608X 035 $a(EXLCZ)995300000000003597 100 $a20200303d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aVirtual Design and Validation /$fedited by Peter Wriggers, Olivier Allix, Christian Weißenfels 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (VIII, 347 p. 201 illus., 162 illus. in color.) 225 1 $aLecture Notes in Applied and Computational Mechanics,$x1613-7736 ;$v93 311 $a3-030-38155-2 327 $aExperiments and Virtual Design -- Composites -- Fracture and Fatigue -- Uncertainty Quantification. 330 $aThis book provides an overview of the experimental characterization of materials and their numerical modeling, as well as the development of new computational methods for virtual design. Its 17 contributions are divided into four main sections: experiments and virtual design, composites, fractures and fatigue, and uncertainty quantification. The first section explores new experimental methods that can be used to more accurately characterize material behavior. Furthermore, it presents a combined experimental and numerical approach to optimizing the properties of a structure, as well as new developments in the field of computational methods for virtual design. In turn, the second section is dedicated to experimental and numerical investigations of composites, with a special focus on the modeling of failure modes and the optimization of these materials. Since fatigue also includes wear due to frictional contact and aging of elastomers, new numerical schemes in the field of crack modeling and fatigue prediction are also discussed. The input parameters of a classical numerical simulation represent mean values of actual observations, though certain deviations arise: to illustrate the uncertainties of parameters used in calculations, the book?s final section presents new and efficient approaches to uncertainty quantification. 410 0$aLecture Notes in Applied and Computational Mechanics,$x1613-7736 ;$v93 606 $aMechanics 606 $aMechanics, Applied 606 $aNanotechnology 606 $aNumerical analysis 606 $aSolid Mechanics$3https://scigraph.springernature.com/ontologies/product-market-codes/T15010 606 $aNanotechnology and Microengineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T18000 606 $aNumerical Analysis$3https://scigraph.springernature.com/ontologies/product-market-codes/M14050 615 0$aMechanics. 615 0$aMechanics, Applied. 615 0$aNanotechnology. 615 0$aNumerical analysis. 615 14$aSolid Mechanics. 615 24$aNanotechnology and Microengineering. 615 24$aNumerical Analysis. 676 $a620.11015118 702 $aWriggers$b Peter$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aAllix$b Olivier$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWeißenfels$b Christian$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910383822303321 996 $aVirtual Design and Validation$92514632 997 $aUNINA