2016
DOI: 10.1002/nme.5195
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Substructured formulations of nonlinear structure problems - influence of the interface condition

Abstract: An efficient method for solving large nonlinear problems combines Newton solvers and Domain Decomposition Methods (DDM). In the DDM framework, the boundary conditions can be chosen to be primal, dual or mixed. The mixed approach presents the advantage to be eligible for the research of an optimal interface parameter (often called impedance) which can increase the convergence rate. The optimal value for this parameter is usally too expensive to be computed exactly in practice: an approximate version has to be s… Show more

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Cited by 15 publications
(31 citation statements)
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References 50 publications
(80 reference statements)
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“…which was investigated in nonlinear relocalization techniques [14][15][16]38], but which is in general not possible in the non-invasive framework. Anyhow, in the case of a linear Global model, it is possible to derive a quasi-Newton approach.…”
Section: Quasi-newton's Approaches For Linear Global Modelmentioning
confidence: 99%
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“…which was investigated in nonlinear relocalization techniques [14][15][16]38], but which is in general not possible in the non-invasive framework. Anyhow, in the case of a linear Global model, it is possible to derive a quasi-Newton approach.…”
Section: Quasi-newton's Approaches For Linear Global Modelmentioning
confidence: 99%
“…In [12] the method was used in order to implement a nonlinear domain decomposition method [13][14][15][16] in a non-invasive manner with Code_aster. The extension of the approach to explicit dynamics was proposed in [17], improved in [18] and applied to the prediction of delamination under impact in [19].…”
Section: Introductionmentioning
confidence: 99%
“…Let neigh( j ) be the set of the neighbors of subdomain j , we have lumped:0.1emKtbb,lneighfalse(jfalse)Ktbbfalse(truejfalse)=Afalse(jfalse)T()sneighfalse(jfalse)Afalse(sfalse)Ktbbfalse(sfalse)Afalse(sfalse)TAfalse(jfalse) or even superlumped:0.1emKtbb,slneighfalse(jfalse)diag()Ktbbfalse(truejfalse)=Afalse(jfalse)T()sneighfalse(jfalse)Afalse(sfalse)diag()Ktbbfalse(sfalse)Afalse(sfalse)TAfalse(jfalse). Being an assembly among a few subdomains of sparse block‐diagonal matrices, this term is quite cheap to compute and does not require any extra‐computations, since local tangent stiffnesses are calculated anyway at each iteration of the solving process. The efficiency of the simple approximation has been studied in the context of nonlinear substructuring and condensation in some research works() and has given good results when tested on rather homogeneous structures of standard shape.…”
Section: New Heuristic For the Interface Impedancementioning
confidence: 99%
“…In the mechanical context, for instance, a common short‐scale approximation can be built by assembling interface stiffness of the neighbors. ()…”
Section: Introductionmentioning
confidence: 99%
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