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An adaptive dynamic relaxation method for solving nonlinear finite element problems. Application to brain shift estimation

机译:一种用于解决非线性有限元问题的自适应动态松弛方法。在脑位移估计中的应用

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Dynamic relaxation is an explicit method that can be used for computing the steady-state solution for a discretized continuum mechanics problem. The convergence speed of the method depends on the accurate estimation of the parameters involved, which is especially difficult for nonlinear problems. In this paper, we propose a completely adaptive dynamic relaxation method in which the parameters are updated during the iteration process, converging to their optimal values. We use the proposed method for computing intra-operative organ deformations using non-linear finite element models involving large deformations, non-linear materials and contacts. The simulation results prove the accuracy and the computational efficiency of the method. The proposed method is also very well suited for GPU implementation.
机译:动态松弛是一种显式方法,可用于计算离散连续力学问题的稳态解。该方法的收敛速度取决于所涉及参数的准确估计,这对于非线性问题尤其困难。在本文中,我们提出了一种完全自适应的动态松弛方法,该方法在迭代过程中更新参数,使其收敛到最佳值。我们使用提出的方法,使用涉及大变形,非线性材料和接触的非线性有限元模型来计算术中器官变形。仿真结果证明了该方法的准确性和计算效率。所提出的方法也非常适合GPU实现。

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