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Timestep Selection for Dynamic Relaxation Method

机译:动态松弛方法的时间步选择

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摘要

This paper focuses on the dynamic relaxation (DR) method as an efficient approach for solving a system of simultaneous equations. This is an iterative procedure which can be used for both finite element and finite difference structural analysis. The DR method has a simple algorithm. However, it suffers from low convergence rate. In the current study, a residual energy minimizer timestep (REMT) will be formulated by minimizing the residual energy. A variety of structural analyses with linear and nonlinear (elastic large deflection) behaviors demonstrate the potential of the proposed strategy. The results indicate that the REMT improves the convergence rate of DR without any additional constraints so that the cost and computational time are decreased.
机译:本文将重点放在动态松弛(DR)方法上,将其作为求解联立方程组的有效方法。这是一个迭代过程,可用于有限元和有限差分结构分析。 DR方法具有简单的算法。但是,其收敛速度低。在当前研究中,将通过最小化残余能量来制定残余能量最小化器时间步长(REMT)。具有线性和非线性(弹性大挠度)行为的各种结构分析证明了所提出策略的潜力。结果表明,REMT在没有任何其他约束的情况下提高了DR的收敛速度,从而降低了成本和计算时间。

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