𝔖 Scriptorium
✦   LIBER   ✦

πŸ“

Advanced Computational Materials Modeling: From Classical to Multi-Scale Techniques


Tongue
English
Leaves
446
Category
Library

⬇  Acquire This Volume

No coin nor oath required. For personal study only.

✦ Synopsis


Content:
Chapter 1 Materials Modeling – Challenges and Perspectives (pages 1–22): Prof. Miguel Vaz, Prof. Eduardo A. de Souza Neto and Prof. Dr. Pablo Andres Munoz?Rojas
Chapter 2 Local and Nonlocal Modeling of Ductile Damage (pages 23–72): Jose Manuel de Almeida Cesar de Sa, Francisco Manuel Andrade Pires and Filipe Xavier Costa Andrade
Chapter 3 Recent Advances in the Prediction of the Thermal Properties of Metallic Hollow Sphere Structures (pages 73–110): Thomas Fiedler, Irina V. Belova, Graeme E. Murch and Andreas Ochsner
Chapter 4 Computational Homogenization for Localization and Damage (pages 111–164): Thierry J. Massart, Varvara Kouznetsova, Ron H. J. Peerlings and Marc G. D. Geers
Chapter 5 A Mixed Optimization Approach for Parameter Identification Applied to the Gurson Damage Model (pages 165–204): Prof. Dr. Pablo Andres Munoz?Rojas, Luiz Antonio B. da Cunda, Eduardo L. Cardoso, Prof. Miguel Vaz and Guillermo Juan Creus
Chapter 6 Semisolid Metallic Alloys Constitutive Modeling for the Simulation of Thixoforming Processes (pages 205–256): Roxane Koeune and Jean?Philippe Ponthot
Chapter 7 Modeling of Powder Forming Processes; Application of a Three?Invariant Cap Plasticity and an Enriched Arbitrary Lagrangian–Eulerian FE Method (pages 257–299): Amir R. Khoei
Chapter 8 Functionally Graded Piezoelectric Material Systems – A Multiphysics Perspective (pages 301–339): Wilfredo Montealegre Rubio, Sandro Luis Vatanabe, Glaucio Hermogenes Paulino and Emilio Carlos Nelli Silva
Chapter 9 Variational Foundations of Large Strain Multiscale Solid Constitutive Models: Kinematical Formulation (pages 341–378): Prof. Eduardo A. de Souza Neto and Raul A. Feijoo
Chapter 10 A Homogenization?Based Prediction Method of Macroscopic Yield Strength of Polycrystalline Metals Subjected to Cold?Working (pages 379–412): Kenjiro Terada, Ikumu Watanabe, Masayoshi Akiyama, Shigemitsu Kimura and Kouichi Kuroda


πŸ“œ SIMILAR VOLUMES


From Pattern Formation to Material Compu
✍ Jeff Jones (auth.) πŸ“‚ Library πŸ“… 2015 πŸ› Springer International Publishing 🌐 English

<p><p>This book addresses topics of mobile multi-agent systems, pattern formation, biological modelling, artificial life, unconventional computation, and robotics. The behaviour of a simple organism which is capable of remarkable biological and computational feats that seem to transcend its simple c

Advanced Computational Materials Modelin
✍ Vaz M.Jr., de Souza Neto E.A., Munoz-Rojas P.A. (eds.) πŸ“‚ Library πŸ“… 2010 πŸ› Wiley 🌐 English

With its discussion of strategies for modeling complex materials using new numerical techniques, mainly those based on the finite element method, this monograph covers a range of topics including computational plasticity, multi-scale formulations, optimization and parameter identification, damage me

Ship Models From Kits: Basic and Advance
✍ David Griffith πŸ“‚ Library πŸ“… 2009 πŸ› Naval Institute Press 🌐 English

The world of model kits has undergone a revolution, with new techniques in injection molding vastly improving the scale accuracy and surface detail of the standard plastic kit and new material producing top-quality resin models. In ship modeling, this has resulted in a new form of the hobby midway b

Advanced Polymeric Materials: From Macro
✍ Sabu Thomas, Nandakumar Kalarikkal, Maciej Jaroszewski, Josmine P. Jose πŸ“‚ Library πŸ“… 2015 πŸ› Apple Academic Press, CRC 🌐 English

<P>The aim of this new compendium is to provide a solid understanding of the recent developments in advanced polymeric materials from macro- to nano-length scales. Composites are becoming more important because they can help to improve our quality of life, such as being put into service in flight ve

Magnetic Hybrid-Materials: Multi-scale M
✍ Stefan Odenbach πŸ“‚ Library πŸ“… 2021 πŸ› De Gruyter 🌐 English

<span>&lt;p&gt;Externally tunable properties allow for new applications of magnetic hybrid materials containing magnetic micro- and nanoparticles in sensors and actuators in technical and medical applications. By means of easy to generate and control magnetic fields, changes of the internal particle