A robust and efficient rate-independent crystal plasticity model based on successive one-dimensional solution steps

IF 7.3 1区 工程技术 Q1 ENGINEERING, MULTIDISCIPLINARY Computer Methods in Applied Mechanics and Engineering Pub Date : 2025-04-01 Epub Date: 2025-03-01 DOI:10.1016/j.cma.2025.117815
B. Nijhuis, E.S. Perdahcıoğlu, A.H. van den Boogaard
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Abstract

An efficient stress update algorithm for rate-independent crystal plasticity is presented. A series of successive one-dimensional solution (SODS) steps traces the hypersurfaces describing the slip state for which the yield criteria of individual slip systems are fulfilled to identify the intersection of all hypersurfaces. This provides both the active set and all slip components without requiring iterative active set search procedures or inducing spurious slip on inactive systems. The basic SODS algorithm is accelerated by tracking the evolution of the active set. A fast Newton–Raphson procedure enables to obtain the solution for an unchanging active set directly, while line search and extrapolation procedures direct the SODS steps towards the solution faster. A regularised tangent modulus is proposed that eliminates stiffness jumps upon changes in active set to improve the convergence behaviour of outer (equilibrium) iterations conducted with the algorithm. The resulting stress update algorithm is highly stable and efficient, making it an attractive candidate for use in large-scale crystal plasticity FE simulations and homogenisation algorithms.
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基于连续一维求解步骤的鲁棒高效速率无关晶体塑性模型
提出了一种有效的速率无关晶体塑性应力更新算法。通过一系列连续的一维解(SODS)步骤跟踪描述滑移状态的超曲面,从而确定所有超曲面的交点,并满足单个滑移系统的屈服准则。这提供了有源集和所有滑动分量,而不需要迭代的有源集搜索过程或在非活动系统上诱导虚假滑动。基本的SODS算法通过跟踪活动集的演化来加速。快速的Newton-Raphson过程可以直接获得不变活动集的解,而线搜索和外推过程可以更快地指导SODS步骤走向解。提出了一种正则切线模量,消除了活动集变化时的刚度跳变,提高了用该算法进行外(平衡)迭代的收敛性。所得到的应力更新算法高度稳定和高效,使其成为大规模晶体塑性有限元模拟和均匀化算法的有吸引力的候选者。
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来源期刊
CiteScore
12.70
自引率
15.30%
发文量
719
审稿时长
44 days
期刊介绍: Computer Methods in Applied Mechanics and Engineering stands as a cornerstone in the realm of computational science and engineering. With a history spanning over five decades, the journal has been a key platform for disseminating papers on advanced mathematical modeling and numerical solutions. Interdisciplinary in nature, these contributions encompass mechanics, mathematics, computer science, and various scientific disciplines. The journal welcomes a broad range of computational methods addressing the simulation, analysis, and design of complex physical problems, making it a vital resource for researchers in the field.
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