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Triangular element refinement in automatic adaptive mesh generation

机译:自动自适应网格生成中的三角元素优化

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Given the nature of many magnetic field problems however, where very narrow material regions and curved boundaries exist, the angle condition is often difficult to satisfy using the standard centroid refinement approach. A new refinement strategy is proposed for use in an adaptive procedure. The method developed places new nodes in regions of high solution error such that the benefit of the Delaunay re-triangulation algorithm is fully realised. Results show that the improved mesh geometry obtained with this method compared with the conventional centroid approach produces a more efficient mesh, where less nodes are needed to obtain the same solution accuracy. New algorithms with the purpose of removing thin elements and obtaining a gradual transition in node density in the mesh after each refinement step are also described.
机译:但是,考虑到许多磁场问题的性质,在其中存在非常狭窄的材料区域和弯曲边界的情况下,使用标准质心细化方法通常很难满足角度条件。提出了一种新的改进策略,用于自适应过程。所开发的方法将新节点放置在高解错误的区域中,从而充分实现了Delaunay重新三角化算法的优势。结果表明,与常规质心方法相比,使用此方法获得的改进的网格几何形状可产生更有效的网格,其中需要更少的节点才能获得相同的求解精度。还描述了用于删除薄元素并在每个细化步骤之后获得网格中节点密度的逐渐过渡的新算法。

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