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Fundamentals of Multiscale Modeling of Structural Materials provides a robust introduction to the computational tools, underlying theory, practical applications, and governing physical phenomena necessary to simulate and understand a wide-range of structural materials at multiple time and length scales. The book offers practical guidelines for modeling common structural materials with well-established techniques, outlining detailed modeling approaches for calculating and analyzing mechanical, thermal and transport properties of various structural materials such as metals, cement/concrete, polymers, composites, wood, thin films, and more.
Computational approaches based on artificial intelligence and machine learning methods as complementary tools to the physics-based multiscale techniques are discussed as are modeling techniques for additively manufactured structural materials. Special attention is paid to how these methods can be used to develop the next generation of sustainable, resilient and environmentally-friendly structural materials, with a specific emphasis on bridging the atomistic and continuum modeling scales for these materials.
List of contents
1. Introduction to Multiscale Modeling for Structural Materials
2. Fundamentals of Quantum-Based Calculations for Structural Materials
3. Classic Molecular Dynamics and Atomistic Modeling Method for Structural Materials
4. Mesoscale Modeling of Structural Materials
5. Computational Continuum Mechanics and Modeling for Structural Materials
6. Bridging the Atomistic and Continuum Modeling Scales for Structural Materials
7. Machine Learning and Data Driven Approaches to Multiscale Modeling of Structural Materials
8. Multiscale Modeling of Metals and Alloys
9. Multiscale Modeling of Cement, Concrete, and Cementitious Materials
10. Multiscale Modeling of Structural Polymers and Composites: Epoxy, FRP, Thin Film/Coatings
11. Multiscale Modeling of Biomaterials
12. Multiscale Modeling of Additively Manufactured Structural Material
13. Multiscale Modeling of Architectured Materials
14. Material Genomics and AI
