Computational methods for microstructure-property relationships
Computational Methods for Microstructure-Property Relationships introduces state-of-the-art advances in computational modeling approaches for materials structure-property relations. Written with an approach that recognizes the necessity of the engineering computational mechanics framework, this volu...
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| Altri autori: | , |
|---|---|
| Natura: | Livre numérique |
| Lingua: | Anglais |
| Pubblicazione: |
Boston, MA :
Springer US
[20..].
Cham : Springer Nature |
| Accesso online: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational methods for microstructure-property relationships, edited by Somnath Ghosh, Dennis Dimiduk, Dordrecht, Springer, 2011, 1 vol. (XVII-658 p.), 978-1-4419-0642-7 |
Sommario:
- Introduction Methods for Generating 3D Image Data for Material Microstructures 3D Microstructure Simulation Microstructure-Based Domain Partitioning, RVE Definition and RVE Evolution for Intrinsic Property Computations Coupling Microstructure Evolution with Microstructure Characterization Materials Response Representations & Limitations in Present-day Design Codes Local Continuum Approaches to Constitutive Modeling Strain Gradient Plasticity; Dislocation Coarse-Graining Challenges; Representing Length-Scale Dependence Constitutive Laws for Time Dependent Thermally-Activated Processes Conventional Finite Element Methods Full-Field or Meshless and Homogenization Methods for Handling the RVE Limitations in Homogenization and Uncertainty Links to Fracture Mechanics & Probabilistic Methods Accelerated Time Scaling Methods for Fatigue Analysis Treating Challenges Below the Grain Scale Multiscale Methods for Material Modeling Representing Environmentally Induced Damage Emerging Methods for Matching Simulation and Experimental Scales Approaching Design Systems for the Future