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

作者：Huang, Zhipeng^*; Gao, Lihong^*; Wang, Yangwei; Wang, Fuchi

来源：Journal of Materials Engineering and Performance, 2016, 25(9): 4099-4107.

DOI：10.1007/s11665-016-2178-1

• cluster global optimization algorithm
• constitutive model parameters
• Johnson-Cook model

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.

• 出版日期2016-9
• 单位北京理工大学