首页> 外文会议>TMS annual meeting exhibition >D2C - CONVERTING AND COMPRESSING DISCRETE DISLOCATION MICROSTRUCTURE DATA
【24h】

D2C - CONVERTING AND COMPRESSING DISCRETE DISLOCATION MICROSTRUCTURE DATA

机译:D2C-转换和压缩离散位移微观结构数据

获取原文

摘要

Appropriate methods to describe materials microstructure are essential for connecting different simulation methods as well as experiments. Focusing on dislocations - the carrier of plastic deformation - we show how continuous field descriptions can be used to represent dislocation microstructure. These fields may be used as input for continuum simulations or for their validation, they allow the comparison of different discrete dislocation dynamics (DDD) implementations, and they are a means of "compressing" the data resulting from DDD simulations. We give an overview of the design choices for D2C, a Python software package designed to convert data from DDD simulations to continuous continuum dislocation dynamics (CDD) fields. The theory beneath each step of this conversion process is outlined.
机译:适当的描述材料微观结构的方法对于连接不同的模拟方法和实验至关重要。着重于位错-塑性变形的载体-我们展示了如何使用连续场描述来表示位错微观结构。这些字段可以用作连续模拟或其验证的输入,它们允许比较不同的离散位错动力学(DDD)实现,并且它们是“压缩” DDD模拟所得数据的一种方式。我们概述了D2C的设计选择,D2C是一个Python软件包,旨在将数据从DDD模拟转换为连续连续位错动态(CDD)字段。概述了此转换过程每个步骤下的理论。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号