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Determination of the Johnson-Cook Constitutive Model Parameters of Materials by Cluster Global Optimization Algorithm

机译:簇全局优化算法确定材料的Johnson-Cook本构模型参数

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摘要

The Johnson-Cook (J-C) constitutive model is widely used in the finite element simulation, as this model shows the relationship between stress and strain in a simple way. In this paper, a cluster global optimization algorithm is proposed to determine the J-C constitutive model parameters of materials. A set of assumed parameters is used for the accuracy verification of the procedure. The parameters of two materials (401 steel and 823 steel) are determined. Results show that the procedure is reliable and effective. The relative error between the optimized and assumed parameters is no more than 4.02%, and the relative error between the optimized and assumed stress is 0.2% x 10(-5). The J-C constitutive parameters can be determined more precisely and quickly than the traditional manual procedure. Furthermore, all the parameters can be simultaneously determined using several curves under different experimental conditions. A strategy is also proposed to accurately determine the constitutive parameters.
机译:Johnson-Cook(J-C)本构模型在有限元模拟中被广泛使用,因为该模型以简单的方式显示了应力和应变之间的关系。本文提出了一种簇全局优化算法来确定材料的J-C本构模型参数。一组假定参数用于过程的准确性验证。确定了两种材料(401钢和823钢)的参数。结果表明该方法是可靠有效的。优化参数与假定参数之间的相对误差不超过4.02%,优化应力与假定应力之间的相对误差为0.2%x 10(-5)。与传统的手动程序相比,可以更精确,更快速地确定J-C本构参数。此外,可以在不同实验条件下使用几条曲线同时确定所有参数。还提出了一种策略,可以准确地确定本构参数。

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