LEADER 05736nam 22007935 450 001 9910410052103321 005 20200705091209.0 010 $a3-030-40562-1 024 7 $a10.1007/978-3-030-40562-5 035 $a(CKB)4100000010673429 035 $a(DE-He213)978-3-030-40562-5 035 $a(MiAaPQ)EBC6142486 035 $a(PPN)243229208 035 $a(EXLCZ)994100000010673429 100 $a20200320d2020 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aIntegrated Computational Materials Engineering (ICME) $eAdvancing Computational and Experimental Methods /$fedited by Somnath Ghosh, Christopher Woodward, Craig Przybyla 205 $a1st ed. 2020. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2020. 215 $a1 online resource (XX, 405 p. 210 illus., 181 illus. in color.) 300 $aIncludes index. 311 $a3-030-40561-3 327 $aScale Hierarchical Modeling of Ni-based Superalloys: from sub-grain to polycrystalline scales -- Underpinning and benchmarking multi-scale models with micro-tensile and bending experiments -- Discrete network dynamics: From dislocation to polymer chain simulations -- Survey of ICME methods for Polymer Matrix Composites -- Structure-property measurements: Multi-scale experiments for model calibration and validation for PMC -- Computational micromechanics and multi-scale modeling of PMCs -- Determining property-based statistically equivalent representative volume elements or P- SERVE for polymer matrix composites using exterior statistics-based boundary conditions -- Quantification of error and uncertainty in materials characterization. 330 $aThis book introduces research advances in Integrated Computational Materials Engineering (ICME) that have taken place under the aegis of the Center of Excellence on Integrated Materials Modeling (CEIMM). Its author team consists of leading researchers in ICME from prominent academic institutions and the Air Force Research Laboratory. The book examines state-of-the-art advances in physics-based, multi-scale, computational-experimental methods and models for structural materials like polymer-matrix composites and metallic alloys. The book emphasizes Ni-based superalloys and epoxy matrix carbon-fiber composites and encompasses atomistic scales, meso-scales of coarse-grained models and discrete dislocations, and micro-scales of poly-phase and polycrystalline microstructures. Other critical phenomena investigated include the relationship between microstructural morphology, crystallography, and mechanisms to the material response at different scales; methods of identifying representative volume elements using microstructure and material characterization, and robust deterministic and probabilistic modeling of deformation and damage. Encompassing a slate of topics that enable readers to comprehend and approach ICME-related issues involved in predicting material performance and failure, the book is ideal for mechanical, civil, and aerospace engineers, and materials scientists, in in academic, government, and industrial laboratories. Presents data acquisition, characterization, and image-based virtual models across multiple scales; Adopts a physics-based approach to multi-scale model development for material performance and failure response; Describes experimental methods for constitutive models, response functions, and failure processes; Maximizes reader understanding with probabilistic modeling and uncertainty quantification. 606 $aMaterials science 606 $aCeramics 606 $aGlass 606 $aComposites (Materials) 606 $aComposite materials 606 $aApplied mathematics 606 $aEngineering mathematics 606 $aEngineering?Materials 606 $aSociophysics 606 $aEconophysics 606 $aCharacterization and Evaluation of Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z17000 606 $aCeramics, Glass, Composites, Natural Materials$3https://scigraph.springernature.com/ontologies/product-market-codes/Z18000 606 $aMathematical and Computational Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T11006 606 $aMaterials Engineering$3https://scigraph.springernature.com/ontologies/product-market-codes/T28000 606 $aData-driven Science, Modeling and Theory Building$3https://scigraph.springernature.com/ontologies/product-market-codes/P33030 615 0$aMaterials science. 615 0$aCeramics. 615 0$aGlass. 615 0$aComposites (Materials). 615 0$aComposite materials. 615 0$aApplied mathematics. 615 0$aEngineering mathematics. 615 0$aEngineering?Materials. 615 0$aSociophysics. 615 0$aEconophysics. 615 14$aCharacterization and Evaluation of Materials. 615 24$aCeramics, Glass, Composites, Natural Materials. 615 24$aMathematical and Computational Engineering. 615 24$aMaterials Engineering. 615 24$aData-driven Science, Modeling and Theory Building. 676 $a620.11011 702 $aGhosh$b Somnath$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aWoodward$b Christopher$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aPrzybyla$b Craig$4edt$4http://id.loc.gov/vocabulary/relators/edt 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910410052103321 996 $aIntegrated Computational Materials Engineering (ICME)$92235709 997 $aUNINA