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£179.39
Elsevier Peridynamic Modeling, Numerical Techniques, and Applications (Elsevier Series in Mechanics of Advanced Materials)
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Description
Product Description This book provides readers with an incisive look at cutting-edge peridynamic modeling methods, numerical techniques, their applications, and potential future directions for the field. It starts with an introductory chapter authored by Stewart Silling, who originally developed peridynamics. It then looks at new concepts in the field, with chapters covering dual-horizon peridynamics, peridynamics for axisymmetric analysis, beam and plate models in peridynamics, coupled peridynamics and XFEM, peridynamics for dynamic fracture modeling, and more. From there, it segues into coverage of cutting-edge applications of peridynamics, exploring its biological applications, modeling at the nanoscale, peridynamics for composites delamination and damage in ceramics, and more, concluding with a chapter on the application of artificial intelligence and machine learning in peridynamics. Review An incisive look at cutting-edge peridynamic modeling methods, numerical techniques, their applications, and potential future directions for the field From the Back Cover This book provides readers with an incisive look at cutting-edge peridynamic modeling methods, numerical techniques, their applications, and potential future directions for the field. It starts with an introductory chapter authored by Stewart Silling, who originally developed peridynamics. It then looks at new concepts in the field, with chapters covering dual-horizon peridynamics, peridynamics for axisymmetric analysis, beam and plate models in peridynamics, coupled peridynamics and XFEM, peridynamics for dynamic fracture modeling, and more. From there, it segues into coverage of cutting-edge applications of peridynamics, exploring its biological applications, modeling at the nanoscale, peridynamics for composites delamination and damage in ceramics, and more, concluding with a chapter on the application of artificial intelligence and machine learning in peridynamics. About the Author Erkan Oterkus is a Professor in the Department of Naval Architecture, Ocean, and Marine Engineering at the University of Strathclyde. He is also the Director of the newly established PeriDynamics Research Centre (PDRC) at Strathclyde. Before joining Strathclyde, he was a researcher at NASA Langley Research Center in the US. His main research areas include peridynamics and structural health monitoring. He is the co-author of the first book on peridynamics and has co-authored numerous publications on the topic. He is an associate editor of ASME Journal of Engineering Materials and Technology and Journal of Peridynamics and Nonlocal Modeling. Selda Oterkus is an Associate Professor in the Department of Naval Architecture, Ocean, and Marine Engineering at the University of Strathclyde. She is also the Vice-Director of the PeriDynamics Research Centre. Her research is mainly focused on multiphysics analysis of materials and structures using peridynamics. She is a prolific author in this area and has delivered lectures and seminars on it all around the world. She is also an academic editor of the Shock and Vibration journal and an editorial board member of Journal of Peridynamics and Nonlocal Modeling. Erdogan Madenci is a Professor in the Department of Aerospace and Mechanical Engineering at the University of Arizona. Prior to that he worked at Northrop Corporation (1983–1985), The Aerospace Corporation (1985–1988), and The Fraunhofer Institute (1989). He also worked at the Royal Institute of Technology (1996), NASA LaRC (2003), Sandia National Labs (2011) and MIT (2018) as part of his sabbatical leaves. He is the lead author of four books and his research has in part led to the publication of 250 journal and conference papers. He also recently started the Journal of Peridynamics and Nonlocal Modeling as the Co-Editor-in-Chief. He is a fellow of ASME and an Associate Fellow of AIAA.
Product Specifications
- Brand
- Elsevier
- Format
- paperback
- ASIN
- 0128200693
- Domain
- Amazon UK
- Release Date
- 01 May 2021
- Listed Since
- 01 October 2019
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