Fundamentals of Multiscale Modeling of Structural Materials

Erscheinungsjahr 2022
ISBN: 978-0-12-823021-3
Verlag: William Andrew Publishing

Buch, Englisch, 450 Seiten, Format (B × H): 152 mm x 229 mm, Gewicht: 700 g

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.

Autoren/Hrsg.

Xia, Wenjie

Alberto Ruiz Pestana, Luis

Fachgebiete

• Technische Wissenschaften Maschinenbau | Werkstoffkunde Technische Mechanik | Werkstoffkunde
• Technische Wissenschaften Bauingenieurwesen Baukonstruktion, Baufachmaterialien

Inhaltsverzeichnis

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

Über Autor(innen)

Alberto Ruiz Pestana, Luis
Luis Ruiz Pestana is an Assistant Professor in the Department of Civil, Architectural, and Environmental Engineering at the University of Miami. He obtained his PhD in Theoretical and Applied Mechanics from Northwestern University, and prior to joining University of Miami he was a postdoctoral fellow in the Chemical Sciences Division at Lawrence Berkeley National Laboratory and the Pitzer Center for Theoretical Chemistry at the University of California, Berkeley. He is an expert in a variety of molecular simulation techniques ranging from density functional theory to ab initio, classical, and coarse-grained molecular dynamics. He has organized and chaired multiple symposia at international conferences in molecular and multiscale modeling of materials and has published numerous articles in influential peer- reviewed journals.

Xia, Wenjie
Wenjie Xia is an Assistant Professor in the Department of Civil and Environmental Engineering, North Dakota State University (NDSU). He obtained his PhD from Northwestern University, and prior to joining NDSU he was an MGI-CHiMaD (Materials Genome Initiative- The Center for Hierarchical Materials Design) Fellow at National Institute of Standards and Technology from 2016-2018. His research interests lie in understanding the complex behaviors of structural materials via bottom-up predictive modeling and data-driven approaches for design and prediction of their performance in engineering applications. He and his group have developed multiscale modeling tools and established innovative materials-by-design frameworks to facilitate design and development of high-performance multifunctional materials. He has authored over 30 peer-reviewed papers, mostly on the topics of computational materials and nanoscale science.