...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Optical engineering >Crack recognition and reconstruction with coarse-fine discontinuous digital image correlation
【24h】

Crack recognition and reconstruction with coarse-fine discontinuous digital image correlation

机译：粗细不连续数字图像相关性的裂缝识别与重建

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

The recognition of structural cracks and reconstruction of displacement fields around cracks are challenging tasks in engineering. By improving the standard digital image correlation (DIC) method and applying it in measuring the discontinuity of cracks, this study presents a coarse-fine search strategy based on a discontinuous DIC for rapid crack recognition and accurate reconstruction of the displacement fields. The technique introduces a split-subset model with a vector that represents the direction of crack opening to overcome the limitation of the standard DIC in analyzing discontinuous areas. A specially designed coarse-fine search strategy is applied to support the calculation model for achieving higher accuracy. The proposed approach is validated using numerically synthesized crack images as well as images obtained from notch tensile experiments in the laboratory. The results show that the proposed method can recognize the crack faces; in addition, it works well for reconstructing the displacement fields of both continuous and discontinuous (cracked) areas with average absolute errors of approximately 0.02. The proposed technique is also valid for slightly noised images.
机译：镇静裂缝结构裂缝和重建的识别是工程方面的挑战性任务。通过改进标准数字图像相关（DIC）方法并在测量裂缝的不连续中，本研究提出了一种基于不连续DIC的粗精细搜索策略，用于快速裂纹识别和对位移场的准确重建。该技术介绍了一种具有表示裂缝开口方向的载体的分割子集模型，以克服分析不连续区域的标准DIC的限制。应用了专门设计的粗精细搜索策略来支持实现更高精度的计算模型。使用数值合成的裂缝图像以及从实验室中的陷波拉伸实验获得的图像进行验证该方法。结果表明，该方法可以识别裂纹面;此外，还适用于重建连续和不连续（破裂）区域的位移场，其平均绝对误差约为0.02。所提出的技术也适用于略微的声音图像。

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