2018
DOI: 10.1016/j.cma.2017.11.024
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Anisotropic mesh adaptation for crack propagation induced by a thermal shock in 2D

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Cited by 31 publications
(12 citation statements)
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“…Anisotropic remeshing led to significant computational time savings in comparison to isotropic remeshing. Similar results were obtained in [6], where the problem was extended to thermally induced fracture, and in [7], where the brittle fracture was studied extensively. In [8] a predictor-corrector scheme for mesh adaptivity was used, while in [9] a residual type a posteriori error estimator was presented, and in both works, quadrangle meshes with hanging nodes were used.…”
Section: Introductionsupporting
confidence: 78%
See 1 more Smart Citation
“…Anisotropic remeshing led to significant computational time savings in comparison to isotropic remeshing. Similar results were obtained in [6], where the problem was extended to thermally induced fracture, and in [7], where the brittle fracture was studied extensively. In [8] a predictor-corrector scheme for mesh adaptivity was used, while in [9] a residual type a posteriori error estimator was presented, and in both works, quadrangle meshes with hanging nodes were used.…”
Section: Introductionsupporting
confidence: 78%
“…The main features of the algorithm are simplicity, easy implementation, and low computational costs. The algorithm relies on simple splitting and merging operations with mesh quality preservation, similarly as in [14] and in contrast to work as [5][6][7], where mesh rebuilding process is more complex. Such an approach leads to less computational effort in remeshing, and a remapping of both nodal and integration point data that is easier and less prone to error.…”
Section: Introductionmentioning
confidence: 99%
“…Standard isotropic adapted meshes allow us to improve the solution accuracy (for a certain mesh cardinality) or to contain the number of elements (for a user-defined tolerance on the numerical approximation) by optimizing the element size. These improvements can be further enhanced by resorting to anisotropic grids, which tune the size, the shape, and the orientation of the mesh triangles in order to track the directional features of the modeled phenomena, such as steep boundary and internal layers, discontinuities, sharp fronts, shocks in compressible flows, more in general areas where the problem exhibits strong gradients (Formaggia and Perotto 2001;Dompierre et al 2002;Formaggia et al 2002;Belhamadia et al 2014;Porta et al 2012;Ferro et al 2018). The generation of anisotropic grids deserves more technicalities when compared with an isotropic context.…”
Section: The Simpaty Algorithmmentioning
confidence: 99%
“…It has been also proved for a few years that using an adjoint is efficient for improving by a correction the accuracy of the evaluation of a quantity of interest ( [17]). As GO mesh adaptation is concerned, a remarkable quantity of papers deals with a posteriori goal-based error formulation to drive adaptivity, using adjoint formulations or gradients (see for example [19,18]). Our group is investigating GO formulations for steady and unsteady problems in an a priori context.…”
Section: The Goal-oriented Formulationmentioning
confidence: 99%