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A GPU Parallelization of the Absolute Nodal Coordinate Formulation for Applications in Flexible Multibody Dynamics

机译:适用于柔性多体动力学的绝对节点坐标公式的GPU并行化

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The Absolute Nodal Coordinate Formulation (ANCF) has been widely used to carry out the dynamics analysis of flexible bodies that undergo large rotation and large deformation. This formulation is consistent with the nonlinear theory of continuum mechanics and is computationally more efficient compared to other nonlinear finite element formulations. Kinematic constraints that represent mechanical joints and specified motion trajectories can be introduced to make complex flexible mechanisms. As the complexity of a mechanism increases, the system of differential algebraic equations becomes very large and results in a computational bottleneck. This contribution helps alleviate this bottleneck using three tools: (1) an implicit time-stepping algorithm, (2) fine-grained parallel processing on the Graphics Processing Unit (GPU), and (3) enabling parallelism through a novel Constraint-Based Mesh (CBM) approach. The combination of these tools results in a fast solution process that scales linearly for large numbers of elements, allowing meaningful engineering problems to be solved.
机译:绝对节点坐标公式(ANCF)已被广泛用于进行承受大旋转和大变形的柔性体的动力学分析。该公式与连续体力学的非线性理论是一致的,并且与其他非线性有限元公式相比,其计算效率更高。可以引入代表机械关节和指定运动轨迹的运动学约束,以制造复杂的柔性机构。随着机制的复杂性增加,微分代数方程组变得非常大,并导致计算瓶颈。这一贡献有助于使用以下三种工具缓解这一瓶颈:(1)隐式时间步算法;(2)图形处理单元(GPU)上的细粒度并行处理;(3)通过新颖的基于约束的网格实现并行性(CBM)方法。这些工具的组合产生了一个快速的解决方案过程,可针对大量元素进行线性缩放,从而解决了有意义的工程问题。

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