October’s webinar will present an overview of the adaptive techniques available in Abaqus. It will be held on 28th October.
Generating the optimum mesh for an analysis is critical and often requires several iterations. The mesh quality and refinement has to be sufficient to ensure correct analysis results but the mesh density has to be limited to control the computational cost. The optimum mesh is the one that offers the best compromise between accuracy of the solution and computational cost.
Adaptivity techniques for finite element methods can help to define the optimum mesh for a specific analysis. The discretisation error is estimated and a new mesh is generated using different refinement techniques such as h-refinement which consists of refining or coarsening the mesh or r-refinement, which consists of relocating the mesh. The remeshing may occur within the analysis step or require several analysis steps.
In this webinar, we will present the three adaptive techniques available in Abaqus: adaptive remeshing, Arbitrary Lagrangian-Eulerian (ALE) adaptive meshing and mesh-to-mesh solution mapping. Adaptive remeshing can be used to control the accuracy of the analysis. Multiple meshes are generated and analysed with the objective of satisfying limits on the mesh discretisation error while minimising the number of elements. ALE adaptive meshing and mesh-to-mesh solution mapping can be used to control element distortion when modelling large deformation or loss of material. With ALE adaptive meshing, the initial mesh definition is gradually smoothed within the analysis step. With mesh-to-mesh solution mapping, the mesh is replaced by a new mesh when element distortions occur.
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