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IUTAM Symposium on Discretization Methods in Structural Mechanics - Proceedings of the IUTAM Symposium held in Vienna, Austria, 2-6 June 1997 (Hardcover, 1999 ed.)
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IUTAM Symposium on Discretization Methods in Structural Mechanics - Proceedings of the IUTAM Symposium held in Vienna, Austria, 2-6 June 1997 (Hardcover, 1999 ed.)
Series: Solid Mechanics and Its Applications, 68
Expected to ship within 12 - 17 working days
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This book contains papers presented at the IUTAM/IACM Symposium
Discretization Methods in Structural Mechanics II' held in Vienna,
Austria, in June 1997. During the last decade the broad field of
Discretization Methods in Structural Mechanics' has experienced a
remarkable evolution. New aspects have come into focus. Many of
them were stimulated by challenging requirements coming from
high-tech applications. In these proceedings such recent
developments are presented and discussed together with new trends
and demands. In view of their relevance, emphasis was put on
nonlinear finite element methods and boundary element methods as
well as on the coupling of these two numerical methods. Novel
developments in other discretization methods having the potential
of opening new avenues for promising applications were also
considered. The different sources of nonlinearities, such as large
deformations, large strains, nonlinear material behaviour
(including viscoplasticity, progressive damage, nonlinearities in
composites and other microstructured materials), contact with or
without friction, etc., require (a) a careful mathematical and
mechanical description and modelling, (b) the development of
efficient algorithms and (c) a sound computational treatment.
Contributions meeting these requirements are presented. Further
emphasis was laid on significant improvements concerning
efficiency, accuracy and reliability of discretization methods in
nonlinear structural mechanics (e.g. error estimation,
self-adapting mesh refinement, multigrid methods). A number of
papers deal with new aspects of sensitivity analysis and
optimization. Neural network strategies as well as modern data
processing architectures(such as parallel computers and
transputers) and their impact on the developments of new
algorithmic concepts are discussed.
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