Computational Plasticity.pdf

Computational Plasticity

Mao-Hong Yu

Computational Plasticity with Emphasis on the Application of the Unified Strength Theory explores a new and important branch of computational mechanics and is the third book in a plasticity series published by Springer. The other two are: Generalized Plasticity, Springer: Berlin, 2006

Computational plasticity A material is said to have deformed plastically if it doesn't return to its original shape after the load is removed. The most common application for plasticity in nite element analysis is modeling the deformation of metals.

9783642245909 ISBN
Englisch SPRACHE
Computational Plasticity.pdf


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26.12.2019 · We show that material plasticity can be precisely and efficiently predicted by deep-learning methods. This approach is fundamentally different from the century-old theory of continuum plasticity because it is not iteratively tracing the yield surface, neither does it require the notion of effective strain or stress at the macroscopic level. Computational Inelasticity | J.C. Simo | Springer

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7 Apr 2006 ... The focus of the book on computational plasticity embodies techniques of relevance not only to academic researchers, but also of interest to ... The subject of computational plasticity encapsulates the numerical methods used for the finite element simulation of the behaviour of a wide range of ...

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Finally, numerical examples are given to illustrate the theory. Keywords. Void Ratio Yield Surface Triaxial Test Strain Increment Generalize Plasticity. These ... The theory of plasticity makes use of some fundamental concepts: the yield criterion defining the limit at which the material becomes plastic, the flow rule ...

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Introduction to Computational Plasticity by … This book gives an introduction to computational plasticity and includes the kinematics of large deformations, together with relevant continuum mechanics. Central to the book is its focus on computational plasticity, and we cover an introduction to the finite element method which includes both quasi-static and dynamic problems. We then go on to describe explicit and implicit implementations of