Statistical characterization of dislocation ensembles
Statistical characterization of dislocation ensembles
复制标题
位错系综的统计表征
DOI：
10.1080/14786430601023807
复制
发表时间：
2006
影响因子：
1.6
通讯作者：
Meijie Tang
中科院分区：
文献类型：
--
作者：
A. El;Jie Deng;Meijie Tang
本文提出了一种研究变形晶体中位错空间和取向统计的方法。这种方法是基于使用的随机纤维过程的概念来模拟位错。引入了位错密度、速度和通量的取向相关统计测度，建立了这些统计测度与位错密度张量和变形晶体塑性变形率之间的联系。并行位错模拟器（帕拉迪斯）代码已被用来进行体心立方晶体中的位错系统的模拟和模拟的位错系统的数值数据已被用来计算这里介绍的统计措施。计算了位错密度、位错速度和位错通量的取向分布以及位错相关性随应变和应变率的变化关系。结果揭示了以前未知的功能，这些分布，这说明了这里介绍的统计方法在理解位错系统的集体行为和建立基于密度的位错动力学模型的重要性。
A method of studying spatial and orientation statistics of dislocations in deforming crystals is presented in this paper. This method is based on the use of the concept of a stochastic fibre process to model dislocations. Orientation-dependent statistical measures of the dislocation density, velocity and flux have been introduced, and the connection between these statistical measures and the dislocation density tensor and rate of plastic distortion in deforming crystals has been established. The Parallel Dislocation Simulator (ParaDiS) code has been used to conduct a simulation of dislocation systems in a body-centred cubic crystal and the numerical data of the simulated dislocation systems have been used to compute the statistical measures introduced here. The orientation distributions of the density, velocity and flux of dislocations, as well as the dislocation correlations, have been computed as functions of strain and strain rate. The results reveal previously unknown features of these distributions, which illustrates the importance of the statistical method introduced here in understanding the collective behaviour of dislocation systems and building density-based models of dislocation dynamics.