首页> 外文期刊>Engineering Fracture Mechanics >CPOT: A suitable tool for crack propagation path optimization based on image recognition
【24h】

CPOT: A suitable tool for crack propagation path optimization based on image recognition

机译:CPOT:基于图像识别的裂缝传播路径优化的合适工具

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

A Crack Path Optimization Tool (CPOT) is developed in this study, and it is designed as a plugin for ABAQUS/CAE. The CPOT provides a friendly graphical user interface, which can control crack propagation along the specified path effectively. With the arrangement strategy of holes, the tool can deflect the crack propagation path and avoid the critical domains or structures. In this application, optimization algorithm assisted extended finite element method (XFEM) is applied to crack propagation analysis. Meanwhile, the image recognition technique is employed to extract the related crack coordinates from crack path image. The grayscale processing and binarization methods are used to obtain the pixels of crack path in the image processing module. Then, a conversion coefficient is proposed to convert the pixel coordinate into physical coordinate. Compared with the single crack optimization strategy, a recognition method for multiple cracks is added to distinguish different cracks path. Additionally, three-dimensional optimization problem is also considered in the application. Finally, several examples which utilize the deformation plasticity theory for the ductile crack problem are employed to illustrate the superiority of the application. The results indicate the high accuracy and efficiency of the application for controlling arbitrary crack propagation along the specified path.
机译:在本研究中开发了一种裂缝路径优化工具(CPOT),并且设计为ABAQUS / CAE的插件。 CPOT提供了友好的图形用户界面,可以有效地控制沿指定路径的裂纹传播。利用孔的排列策略,该工具可以偏转裂缝传播路径并避免关键域或结构。在本申请中,优化算法辅助扩展有限元方法(XFEM)被应用于裂纹传播分析。同时,采用图像识别技术从裂缝路径图像中提取相关的裂缝坐标。灰度处理和二值化方法用于获得图像处理模块中的裂缝路径的像素。然后,提出了转换系数以将像素坐标转换成物理坐标。与单裂缝优化策略相比,添加了多个裂缝的识别方法以区分不同的裂缝路径。另外,在应用中也考虑了三维优化问题。最后,采用用于延展性裂纹问题的变形可塑性理论的几个例子来说明应用的优越性。结果表明,用于控制指定路径的任意裂缝传播的应用的高精度和效率。

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