<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd"><responseDate>2026-04-17T20:17:41Z</responseDate><request verb="GetRecord" identifier="oai:www.recercat.cat:2117/192668" metadataPrefix="oai_dc">https://recercat.cat/oai/request</request><GetRecord><record><header><identifier>oai:recercat.cat:2117/192668</identifier><datestamp>2025-07-16T22:24:38Z</datestamp><setSpec>com_2072_1033</setSpec><setSpec>col_2072_452949</setSpec></header><metadata><oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
   <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:identifier>978-84-941407-6-1</dc:identifier>
   <dc:identifier>https://hdl.handle.net/2117/192668</dc:identifier>
   <dc:language>eng</dc:language>
   <dc:rights>Open Access</dc:rights>
   <dc:format>12 p.</dc:format>
   <dc:format>application/pdf</dc:format>
   <dc:publisher>CIMNE</dc:publisher>
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