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A frictional contact algorithm for implicit material point method

机译:隐式材料点法的摩擦接触算法

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The explicit material point method (MPM) works successfully in modeling high frequency problems, but it is very computationally expensive in simulating low frequency with small time steps or quasi-static problems. Thus, several groups have developed an implicit MPM for modeling low frequency problems. Recently, a few attempts were undertaken to investigate the contact problems using the implicit MPM but the accuracy was dissatisfactory. In this paper, an augmented Lagrange formulation for the frictional inequality constraints is introduced. A discretization of the Lagrange multiplier field based on the background grid is proposed to establish the implicit MPM framework with the contact algorithm. To reduce the complexity of the solution, the Uzawa algorithm is employed to decouple the unknown variables and the Lagrange multipliers. Finally, the resulting sequent nonlinear equations are solved by the Newton method, in which the tangential matrix is assembled explicitly. By using the compressed sparse row (CSR) technique, the total storage of the matrix can be greatly reduced. Numerical studies show that the computational efficiency and accuracy of the implicit MPM with the proposed contact algorithm are much higher than the explicit MPM. (C) 2017 Elsevier B.V. All rights reserved.
机译:显式材料点方法(MPM)在成功建模高频问题中可以成功地工作,但是在模拟具有小时间步长或准静态问题的低频时,在计算上非常昂贵。因此,几个小组已经开发出用于建模低频问题的隐式MPM。最近,进行了一些尝试使用隐式MPM来研究接触问题,但准确性令人不满意。本文介绍了一种针对摩擦不等式约束的增强拉格朗日公式。提出了一种基于背景网格的拉格朗日乘数场的离散化方法,以利用接触算法建立隐式MPM框架。为了降低解决方案的复杂性,采用Uzawa算法解耦未知变量和Lagrange乘数。最后,通过牛顿法求解由此产生的后续非线性方程,其中切向矩阵被明确地组装。通过使用压缩稀疏行(CSR)技术,可以大大减少矩阵的总存储量。数值研究表明,所提出的接触算法对隐式MPM的计算效率和准确度要比显式MPM高得多。 (C)2017 Elsevier B.V.保留所有权利。

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