journal article·2008-04Open access

Some Incipient Techniques For Improving Efficiency in Computational Mechanics

A. Ammar, F. Chinesta

Abstract

This contribution presents a review of different techniques available for alleviating simulation cost in computational mechanics. The first one is based on a separated representation of the unknown fields; the second one uses a model reduction based on the Karhunen-Loeve decomposition within an adaptive scheme, and the last one is a mixed technique specially adapted for reducing models involving local singularities. These techniques can be applied in a large variety of models.
Source: openaire · Quality: candidate unverified · Source record ↗

Research context

OpenAlex topics: Model Reduction and Neural Networks · Fluid Dynamics and Vibration Analysis · Computational Fluid Dynamics and Aerodynamics

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References (3)

Show source-provided references
1. A. Ammar, B. Mokdad, F. Chinesta et R. Keunings. A New Family of Solvers for Some Classes of Multidimensional Partial Differential Equations Encountered in Kinetic Theory Modeling of Complex Fluids. Part II: Transient Simulation Using Space-Time Separated Representation. Journal of Non-Newtonian Fluid Mechanics.
2. Ammar, D. Ryckelynck, F. Chinesta, R. Keunings On the reduction of kinetic theory models related to finitely extensible dumbbells. Journal of Non-Newtonian Fluid Mechanics, 134, 136–147, (2006).10.1016/j.jnnfm.2006.01.007 ↗
3. D. Ryckelynck. A Priori Hyperreduction Method: an Adaptive Approach. Journal of Computational Physics, 202, 346–366 (2005).10.1016/j.jcp.2004.07.015 ↗