Overview
FrançaisABSTRACT
This article is dedicated to the simulation of mechanisms and more specifically to solving of equations using software. A large number of integration methods of mathematical models upstream of modeling are available (such as the Euler, Runge-Kutta and Adams-Moulton methods). This is the reason why the general framework of differential equation systems and digital integration are studied in this article. The various solution methods are listed: coordinate partitioning, projection method, the Baumgarte stabilization, etc.
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Read the articleAUTHOR
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Wilfrid MARQUIS-FAVRE: Senior lecturer at INSA Lyon
INTRODUCTION
coordination by Michel Fayet, Professor Emeritus at INSA Lyon
Here we are in the downstream modelling phase, which consists in numerically integrating the mathematical models previously obtained (see files ). There are numerous integration methods: Euler, Runge-Kutta, Adams-Bashforth, Adams-Moulton, Backward Differentiation Formula, Gear, to name but a few. Certainly the most crucial problem associated with mechanism simulation is that of numerically solving systems of algebraic-differential equations (ADEs). In this case, simulation can be undertaken at the cost of a "mathematical reformulation" of the problem. Techniques such as coordinate partitioning, the projection method, Baumgarte stabilization or the penalty method can be used. In addition, the transformation of certain numerical methods (from their explicit to their implicit form, not to be confused with the explicit and implicit forms given to the model in ), can also be used to simulate algebraic-differential systems (Runge-Kutta Implicit -IRK- method, for example).
Throughout this section, we assume that the mechanism has no hyperstatic unknowns or, in other words, that the C matrix for the first-order binding equations is of full rank. Furthermore, n represents the number of generalized coordinates and L the number of binding equations, as in previous sections.
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