Reference : Simulation of complex impact problems with implicit time algorithms: Application to a...
Scientific journals : Article
Engineering, computing & technology : Mechanical engineering
http://hdl.handle.net/2268/233
Simulation of complex impact problems with implicit time algorithms: Application to a turbo-engine blade loss problem
English
Noels, Ludovic mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Milieux continus et thermomécanique >]
Stainier, Laurent [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS - Milieux continus et thermomécanique >]
Ponthot, Jean-Philippe mailto [Université de Liège - ULg > Département d'aérospatiale et mécanique > LTAS-Mécanique numérique non linéaire >]
Dec-2005
International Journal of Impact Engineering
Pergamon-Elsevier Science Ltd
32
1-4
Fifth International Symposium on Impact engineering
358–386
Yes
International
0734-743X
Oxford
[en] energy-dissipative momentum conserving ; dynamics time integration ; hypoelastic models ; large strain ; finite-element simulation
[en] Recent developments, in non-linear structural dynamics, have led to a new kind of implicit algorithms: the energy-momentum conserving algorithm (EMCA) and the energy-dissipative, momentum-conserving algorithm. Contrarily to commonly used algorithms, such as the explicit central difference or the alpha-generalized method, the stability of those algorithms is always ensured in the non-linear range. Thanks to this unconditional stability the only requirement on the time step size is that it must be small enough to capture the physics. This requirement is less restrictive than a conditional stability. In previous works, we have developed a new formulation of the internal forces for a hypoelastic model, that leads to an EMCA. In this paper, we will extend this formulation to an energy-dissipative, momentum-conserving algorithm. We will prove with an academic example, that our algorithm is more accurate than the alpha-generalized method in the non-linear range. Then we will simulate a blade loss problem to demonstrate the efficiency of our developments on complex dynamics simulations. (c) 2005 Elsevier Ltd. All rights reserved.
Researchers ; Professionals
http://hdl.handle.net/2268/233
10.1016/j.ijimpeng.2005.06.003
http://dx.doi.org/10.1016/j.ijimpeng.2005.06.003

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