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               <dc:title>Recent advances in the particle finite element method. Towards more complex fluid flow applications</dc:title>
               <dc:creator>Nigro, Norberto M.</dc:creator>
               <dc:creator>Novara, Pablo</dc:creator>
               <dc:creator>Gimenez, Juan M.</dc:creator>
               <dc:creator>Calvo, Néstor A.</dc:creator>
               <dc:creator>Morin, Pedro</dc:creator>
               <dc:creator>Idelsohn, Sergio R.</dc:creator>
               <dc:creator>Bergallo, Marta B.</dc:creator>
               <dc:subject>Àrees temàtiques de la UPC::Matemàtiques i estadística::Anàlisi numèrica::Mètodes en elements finits</dc:subject>
               <dc:subject>Finite element method</dc:subject>
               <dc:subject>Coupled problems (Complex systems) -- Numerical solutions</dc:subject>
               <dc:subject>Particle Finite Element method, Lagrangian, Preconditioner, Real Time, High Performance Computing</dc:subject>
               <dc:subject>Elements finits, Mètode dels</dc:subject>
               <dc:description>One of the main drawbacks of the explicit integration using Eulerian formulations&#xd;
is the restricted stability of the solution with the time steps and with the spatial discretization.&#xd;
For the case of the Navier-Stokes equations, it is well known that the time step to be used in&#xd;
the solution is stable only for time step smaller than two critical values: the Courant-&#xd;
Friedrichs-Lewy (CFL) number and the Fourier number. The first one is concerning with the&#xd;
convective terms and the second one with the diffusive ones. Both numbers must be less than&#xd;
one to have stable algorithms. For convection dominant problems like high Reynolds number&#xd;
flows, the condition CFL&lt;1 becomes crucial and limit the use of explicit method or&#xd;
outdistance it to be efficient. On the other hand, implicit solutions using Eulerian&#xd;
formulations is restricted in the time step size due to the lack of convergence of the convective&#xd;
non-linear terms. Both time integrations, explicit or implicit are, in most cases, limited to CFL&#xd;
no much larger than one. The possibility to perform parallel processing and the recent&#xd;
upcoming of new processors like GPU and GPGPU increase the possibilities of the explicit integration in time due to the facility to parallelize explicit methods having results with speedup&#xd;
closed to one. Although the incompressible condition cannot be solved explicitly, the&#xd;
solution of the momentum conservation equations with an explicit integration of the&#xd;
convective terms together with a parallel processing reduces considerably the computing time&#xd;
to solve the whole problem provided that a large time-step may be preserved independently to&#xd;
the discretization in space. Only to remember the new Particle Finite Element Method, called&#xd;
PFEM 2nd generation (PFEM-2) uses a Lagrangian formulation with an explicit time&#xd;
integrator without the CFL&lt;1 restriction for the convective terms. This allows large timesteps,&#xd;
independent of the spatial discretization, having equal or better precision that an&#xd;
implicit integration. Moreover, PFEM-2 has two versions, one for moving mesh with&#xd;
permanent remeshing and one for fixed mesh [1]. In this lecture we will present some recent&#xd;
advances in the Particle Finite Element Method (PFEM) to solve the incompressible Navier-&#xd;
Stokes equations coupled with another fields like in multiphysics exploiting some nice features&#xd;
found in the fixed version. On the other hand we will also present the moving mesh version&#xd;
applied to multifluids using a parallel remeshing that makes this efficient in terms of cpu time.&#xd;
This updated proposal will be tested numerically and compared in terms of accuracy as in&#xd;
computing cpu time with other more standard Eulerian formulations.</dc:description>
               <dc:date>2013</dc:date>
               <dc:type>Conference report</dc:type>
               <dc:rights>Open Access</dc:rights>
               <dc:publisher>CIMNE</dc:publisher>
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