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A universal algorithm for an improved finite element mesh generation Mesh quality assessment in comparison to former automated mesh-generators and an analytic model.

机译:与以前的自动网格生成器和解析模型相比,改进了有限元网格生成的通用算法。

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The FE-modeling of complex anatomical structures is not solved satisfyingly so far. Voxel-based as opposed to contour-based algorithms allow an automated mesh generation based on the image data. Nonetheless their geometric precision is limited. We developed an automated mesh-generator that combines the advantages of voxel-based generation with improved representation of the geometry by displacement of nodes on the object-surface. Models of an artificial 3D-pipe-section and a skullbase were generated with different mesh-densities using the newly developed geometric, unsmoothed and smoothed voxel generators. Compared to the analytic calculation of the 3D-pipe-section model the normalized RMS error of the surface stress was 0.173-0.647 for the unsmoothed voxel models, 0.111-0.616 for the smoothed voxel models with small volume error and 0.126-0.273 for the geometric models. The highest element-energy error as a criterion for the mesh quality was 2.61x10(-2) N mm, 2.46x10(-2) N mm and 1.81x10(-2) N mm for unsmoothed, smoothed and geometric voxel models, respectively. The geometric model of the 3D-skullbase resulted in the lowest element-energy error and volume error. This algorithm also allowed the best representation of anatomical details. The presented geometric mesh-generator is universally applicable and allows an automated and accurate modeling by combining the advantages of the voxel-technique and of improved surface-modeling.
机译:到目前为止,复杂解剖结构的有限元建模还不能令人满意。与基于轮廓的算法不同,基于体素的算法允许基于图像数据自动生成网格。但是,它们的几何精度是有限的。我们开发了一种自动网格生成器,该网格生成器结合了基于体素的生成的优点以及通过对象表面上节点的位移而改进的几何图形表示。使用新开发的几何,不平滑和平滑的体素生成器,以不同的网格密度生成了人工3D管道截面和颅底模型。与3D管道截面模型的解析计算相比,对于非平滑体素模型,表面应力的归一化RMS误差为0.173-0.647,对于具有较小体积误差的平滑体素模型,其表面应力的归一化RMS误差为0.111-0.616,对于几何体,则为0.126-0.273楷模。对于不光滑,平滑和几何体素模型,作为网格质量标准的最高元素能量误差分别为2.61x10(-2)N mm,2.46x10(-2)N mm和1.81x10(-2)N mm。 。 3D头骨基的几何模型导致最低的元素能量误差和体积误差。该算法还可以最好地表示解剖学细节。提出的几何网格生成器是普遍适用的,并且通过结合体素技术和改进的表面建模的优点,可以进行自动化和准确的建模。

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