Advanced Finite Element Technologies (eBook, PDF)

• Format: PDF

Produktbeschreibung

The book presents an overview of the state of research of advanced finite element technologies. Besides the mathematical analysis, the finite element development and their engineering applications are shown to the reader. The authors give a survey of the methods and technologies concerning efficiency, robustness and performance aspects. The book covers the topics of mathematical foundations for variational approaches and the mathematical understanding of the analytical requirements of modern finite element methods. Special attention is paid to finite deformations, adaptive strategies, incompressible, isotropic or anisotropic material behavior and the mathematical and numerical treatment of the well-known locking phenomenon. Beyond that new results for the introduced approaches are presented especially for challenging nonlinear problems.

Produktdetails

• Verlag: Springer International Publishing
• Erscheinungstermin: 19. Mai 2016
• Englisch
• ISBN-13: 9783319319254
• Artikelnr.: 46968427

Inhaltsangabe

Least-squares mixed finite elements for hyperelasticity.- Discretization methods for solids undergoing finite deformations.- On the use of anisotropic triangles with mixed finite elements: application to an "immersed" boundary with the incompressible Stokes problem.- Stress-based finite element methods in linear and nonlinear solid mechanics.- Topics of mathematical fundamentals, mixed methods in elasticity, and plasticity.- Discontinuous Galerkin methods ND reduced order models.

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Least-squares mixed finite elements for hyperelasticity.- Discretization methods for solids undergoing finite deformations.- On the use of anisotropic triangles with mixed finite elements: application to an "immersed" boundary with the incompressible Stokes problem.- Stress-based finite element methods in linear and nonlinear solid mechanics.- Topics of mathematical fundamentals, mixed methods in elasticity, and plasticity.- Discontinuous Galerkin methods ND reduced order models.