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A multiscale predictor/corrector scheme for efficient elastoplastic voxel finite element analysis, with application to CT-based bone strength prediction

机译:一种用于高效弹塑性体素有限元分析的多尺度预测器/校正器方案,并应用于基于CT的骨强度预测中

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AbstractVoxel finite elements combined with plasticity have been shown to accurately predict the evolution of bone failure, but involve a prohibitive computational cost when applied to high-resolution CT scans of a complete bone. We present a simple multiscale predictor/corrector scheme that uses elasticity and the finite cell method on a coarse-scale mesh, complemented by plasticity and fine-scale voxel finite elements in regions where failure occurs. The core components of our method are top-down displacement and bottom-up stress projectors for the exchange of information between coarse and fine scales. Our choice of projectors eliminates communication of fine-scale voxel elements beyond boundaries of coarse-scale cells, which enables the solution in terms of a series of small uncoupled systems at a fraction of the computing power and memory required by the fully coupled fine-scale system. At the same time, we illustrate that the multiscale approach yields the same accuracy as the full-resolution voxel finite element method, if we appropriately balance the approximation power of coarse-scale and fine-scale meshes. We demonstrate the advantages of our method for the load capacity analysis of a patient-specific vertebra.
机译: 摘要 体素有限元与可塑性相结合可准确预测骨衰竭的发展,但将其应用于高分辨率的完整CT扫描时,其计算成本却很高骨。我们提出了一种简单的多尺度预测器/校正器方案,该方案在粗糙尺度的网格上使用弹性和有限元方法,并在发生故障的区域中补充了可塑性和精细尺度的体素有限元。我们方法的核心组件是自上而下的位移和自下而上的应力投影仪,用于在粗刻度和细刻度之间交换信息。我们选择的投影仪消除了粗尺度单元边界之外的细尺度体素元素之间的通信,从而使该解决方案能够以一系列小型非耦合系统的形式实现,而所需的计算能力和存储空间仅为完全耦合的细尺度所需要的一部分系统。同时,我们说明了如果适当地平衡粗尺度和细尺度网格的逼近能力,则多尺度方法的精度与全分辨率体素有限元方法相同。我们展示了我们的方法在分析患者特定椎骨的负荷能力方面的优势。

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