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20112024
most citedNon-overlapping domain decomposition methods in structural mechanics

186 citations · 761 across the 27 of their papers we have counts for

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Showing 2011Show all

5 papers · 1 filter

physics.comp-ph2011

Improved multiscale computational strategies for delamination

Olivier Allix, Pierre Gosselet, Pierre Kerfriden

This paper presents a three-scale computational strategy for the study of composite modeled at the mesoscale so that delamination can be reliably simulated. The solver is based on…

physics.comp-ph2011★ 81 cited

A three-scale domain decomposition method for the 3D analysis of debonding in laminates

Pierre Kerfriden, Olivier Allix, Pierre Gosselet

The prediction of the quasi-static response of industrial laminate structures requires to use fine descriptions of the material, especially when debonding is involved. Even when mo…

math.NA2011★ 19 cited

On the control of the load increments for a proper description of multiple delamination in a domain decomposition framework

Olivier Allix, Pierre Kerfriden, Pierre Gosselet

In quasi-static nonlinear time-dependent analysis, the choice of the time discretization is a complex issue. The most basic strategy consists in determining a value of the load inc…

physics.class-ph2011★ 12 cited

A relocalization technique for the multiscale computation of delamination in composite structures

Olivier Allix, Pierre Kerfriden, Pierre Gosselet

In this article, we present numerical enhancements of a multiscale domain decomposition strategy based on a LaTIn solver and dedicated to the computation of the debounding in lamin…

physics.class-ph2011★ 165 cited

Bridging Proper Orthogonal Decomposition methods and augmented Newton-Krylov algorithms: an adaptive model order reduction for highly nonlinear mechanical problems

Pierre Kerfriden, Pierre Gosselet, Sondipon Adhikari +1

This article describes a bridge between POD-based model order reduction techniques and the classical Newton/Krylov solvers. This bridge is used to derive an efficient algorithm to…