Accuracy and optimal meshes in finite element computation for nearly incompressible materials
Computer Methods in Applied Mechanics and Engineering
Automatic reconstruction of B-spline surfaces of arbitrary topological type
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Advances in Engineering Software
Blend recognition algorithm and applications
Proceedings of the sixth ACM symposium on Solid modeling and applications
Reconstruction of feature volumes and feature suppression
Proceedings of the seventh ACM symposium on Solid modeling and applications
A small feature suppression/unsuppression system for preparing B-rep models for analysis
Proceedings of the 2005 ACM symposium on Solid and physical modeling
A mesh-geometry-based solution to mixed-dimensional coupling
Computer-Aided Design
Quantitative control of idealized analysis models of thin designs
Computers and Structures
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The preparation of a Finite Element Analysis (FEA) model from a Computer Aided Design (CAD) model is still a difficult task since its Boundary Representation (B-Rep) is often composed of a large number of faces, some of which may be narrow or feature short edges that are smaller than the desired FE size (for mesh generation). Consequently, these faces and edges are considered as geometric artefacts that are irrelevant for the automatic mesh generation process. Such inconsistencies often cause either poorly-shaped elements or meshes that are locally over-densified. These inconsistencies not only slow down the solver (using too many elements) but also produce poor or inappropriate simulation results. In this context, we propose a ''Mesh Constraint Topology'' (MCT) model with automatic adaptation operators aimed at transforming a CAD model boundary decomposition into a FE model, featuring only mesh-relevant faces, edges and vertices, i.e., an explicit data model that is intrinsically adapted to the meshing process. We provide a set of criteria that can be used to transform CAD model boundary topology using MCT transformations, i.e., edge deletion, vertex deletion, edge collapsing, and merging of vertices. The proposed simplification criteria take into account a size map, a discretization error threshold and boundary conditions. Applications and results are presented through the adaptation of CAD models using the proposed simplification criteria.