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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
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

基于岩土渐进变形特征的数字散斑相关优化分析法

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

  • 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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