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基于岩土渐进变形特征的数字散斑相关优化分析法

李元海, 贾冉旭, 杨苏

李元海, 贾冉旭, 杨苏. 基于岩土渐进变形特征的数字散斑相关优化分析法[J]. 岩土工程学报, 2015, 37(8): 1490-1496. DOI: 10.11779/CJGE201508019
引用本文: 李元海, 贾冉旭, 杨苏. 基于岩土渐进变形特征的数字散斑相关优化分析法[J]. 岩土工程学报, 2015, 37(8): 1490-1496. DOI: 10.11779/CJGE201508019
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LI Yuan-hai, JIA Ran-xu, YANG Su. Optimized method for DSCM based on progressive displacement characteristics of geotechnical materials[J]. Chinese Journal of Geotechnical Engineering, 2015, 37(8): 1490-1496. DOI: 10.11779/CJGE201508019
Citation: LI Yuan-hai, JIA Ran-xu, YANG Su. Optimized method for DSCM based on progressive displacement characteristics of geotechnical materials[J]. Chinese Journal of Geotechnical Engineering, 2015, 37(8): 1490-1496. DOI: 10.11779/CJGE201508019
shu

基于岩土渐进变形特征的数字散斑相关优化分析法  English Version

  • 1. 中国矿业大学深部岩土力学与地下工程国家重点实验室,江苏 徐州 221116;
    2..中国矿业大学力学与建筑工程学院,江苏 徐州 221116

基金项目: 国家自然科学基金项目（51174197）; 国家重点基础研究发展计划（“973”计划）项目（2014CB046905）; 江苏省高校“青蓝工程”中青年学术带头人培养项目（2012）
详细信息
    作者简介:

    李元海(1969-),男,博士,教授,主要从事岩土工程数字照相量测技术与应用及地下工程安全分析与稳定性控制机理等方面的研究工作。E-mail: Lyh@cumt.edu.cn。

  • 中图分类号: TU41

Optimized method for DSCM based on progressive displacement characteristics of geotechnical materials

  • 1. State Key Laboratory for Geomechanics & Deep Underground Engineering, China University of Mining and Technology, Xuzhou 221116, China;
    2. School of Mechanics & Civil Engineering, China University of Mining and Technology, Xuzhou 221116, China

摘要

    摘要
  • 摘要: 图像分析效率是数字散斑相关方法（DSCM）在岩土工程试验应用中的关键问题之一,而一些岩土类材料在荷载作用下的位移大小与方向具有缓慢变化的图像特征。为提高DSCM图像分析效率,提出了一种基于岩土渐进变形特征的“局部定向搜索”（LDSM）优化分析方法,给出了该方法适用的前提条件以及具体算法和实用公式,并在自行研制的数字照相量测软件PhotoInfor中编程实现了相应功能。此外,给出了“局部定向搜索法”的关键参数——搜索角度的推荐取值范围（30°~45°）。研究表明：“局部定向搜索”优化方法分析结果与常规方法相同;在搜索角度为45°时,其计算效率相对于常规方法提高（1.3~1.6）倍;随着测点数量的增多,计算效率呈现出一定的稳定性。局部定向搜索法对于DSCM在岩土力学与工程试验研究领域中的广泛应用,具有比较重要的的实用价值。
    Abstract: The image analysis efficiency is one of the most important issues in digital speckle correlation method (DSCM) applied in geotechnical experiments. On the other hand, the displacement magnitude and direction of some types of geotechnical materials are characterized by slow changes. In order to improve the image efficiency of DSCM, an optimized method named “local direction search method（LDSM）” based on the progressive displacement characteristics of geotechnical materials is proposed, and its application prerequisites and key algorithm equations are also introduced. Functions of LDSM is implemented by programing in self-developed software PhotoInfor. The most common angle parameter scope from 30 to 45 degrees is given for the image search scope used in LDSM. The research shows that the image analysis results of LDSM are identical with those of the normal search method in DSCM. While the angle parameter in LDSM equals to 45 degrees, the analysis efficiency of LDSM is 1.3~1.6 times more than that of the normal search method. In other words, the analysis efficiency is improved by at least one time and is stable with the increasing analysis points on images. LDSM for DSCM has important practical values in geotechnical experiments.
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    • 参考文献(13)
  • [1] 李元海. 数字照相量测技术及其在岩土工程实验中的应用[M]. 徐州: 中国矿业大学出版社, 2009. (LI Yuan-hai. Digital photogrammetry-based deformation measurement technique and its application in geotechnical engineering test[M]. Xuzhou: China University of Mining and Technology Press, 2009.(in Chinese))
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    [3] 李元海, 林志斌, 靖洪文, 等. 含动态裂隙岩体的高精度数字散斑相关量测方法[J]. 岩土工程学报, 2012, 34(6): 1060-1068. (LI Yuan-hai, LIN Zhi-bin, JING Hong-wen, et al. High-accuracy digital speckle correlation method for rock with dynamic fractures[J]. Chinese Journal of Geotechnical Engineering, 2012, 34(6): 1060-1068. (in Chinese))
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    [6] 简龙晖, 马少鹏, 张 军, 等. 基于小波多级分解的数字散斑相关搜索方法[J]. 清华大学学报 (自然科学版), 2003, 43(5): 680-882. (JIAN Long-hui, MA Shao-peng, ZHANG Jun, et al. Wavelet-transform-based hierarchical search algorithm for the digital speckle correlation method[J]. Journal of Tsinghua University (Science & Technology), 2003, 43(5): 680-882. (in Chinese))
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    [8] 王 昊, 马志峰. 预测搜索算法在图像相关中的应用[J]. 光学技术, 2013, 39(3): 251-255. (WANG Hao, MA Zhi-feng. An improvement of digital speckle correlation method using the predictive search algorithm[J]. Optical Technique, 2013, 39(3): 251-255. (in Chinese))
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出版历程
  • 收稿日期:  2014-09-12
  • 发布日期:  2015-08-24

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