2022
DOI: 10.1016/j.cma.2022.115555
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Feature-aware reconstruction of trimmed splines using Ricci flow with metric optimization

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Cited by 10 publications
(1 citation statement)
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“…The selective integration rules are more effective in vanquishing locking than the reduced integration rules since the reduced integration rules need to be slightly over-integrated around the boundary to avoid spurious energy modes. Since the integration rules proposed in [32] are at the patch level, a generalization of these integration rules capable of effectively vanquishing volumetric locking in trimmed NURBS [33][34][35][36][37][38] or in unstructured splines [39][40][41][42][43][44][45][46] is unlikely to be developed. Locking treatments to vanquish volumetric locking in NURBS-based discretizations that collocate the strong form instead of approximate the variational form have been proposed in [47,48].…”
Section: Introductionmentioning
confidence: 99%
“…The selective integration rules are more effective in vanquishing locking than the reduced integration rules since the reduced integration rules need to be slightly over-integrated around the boundary to avoid spurious energy modes. Since the integration rules proposed in [32] are at the patch level, a generalization of these integration rules capable of effectively vanquishing volumetric locking in trimmed NURBS [33][34][35][36][37][38] or in unstructured splines [39][40][41][42][43][44][45][46] is unlikely to be developed. Locking treatments to vanquish volumetric locking in NURBS-based discretizations that collocate the strong form instead of approximate the variational form have been proposed in [47,48].…”
Section: Introductionmentioning
confidence: 99%