Development of a crack growth predictor for geomaterials using detrended fluctuation analysis and optical flow method

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• 作者：Sudipta Bhattacharjee ; Debasis Deb
• 关键词：Detrended fluctuation analysis (DFA) ; Statistical analysis of image ; Rock failure process ; Digital image processing ; Optical flow method ; Lucas–Kanade method ; Predictors
• 刊名：Signal, Image and Video Processing
• 出版年：2016
• 出版时间：January 2016
• 年：2016
• 卷：10
• 期：1
• 页码：121-128
• 全文大小：1,692 KB
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• 作者单位：Sudipta Bhattacharjee (1)
  Debasis Deb (2)
  
  1. Advanced Technology Development Center, Indian Institute of Technology, Kharagpur, Kharagpur, 721 302, India
  2. Mining Engineering Department, Indian Institute of Technology, Kharagpur, Kharagpur, 721 302, India
  
• 刊物类别：Engineering
• 刊物主题：Signal,Image and Speech Processing
  Image Processing and Computer Vision
  Computer Imaging, Vision, Pattern Recognition and Graphics
  Multimedia Information Systems
  
• 出版者：Springer London
• ISSN：1863-1711

文摘

Several conventional methods like seismic, micro-seismic, acoustic, electromagnetic etc. have been proposed to investigate the crack initiation and growth in rocks during static and dynamic loading conditions. These conventional sensors are prone to acquire noise and moreover these methods do not provide comprehensive knowledge about failure process since data are collected at a few points attached to a rock sample. This paper presents the application of detrended fluctuation analysis method and optical flow method of image analysis for analyzing failure mechanism of rock specimen under uniaxial loading condition. Two predictors, normalized cumulative fluctuation coefficient (NCFC) and normalized cumulative standard deviation of strain (NCSS) have been developed for forecasting the same. Both the predictors are developed by analyzing consecutive image frames under incremental loading conditions and are found to be powerful markers for categorizing the crack initiation period, stable crack growth period and collapse period in the rock failure process. It is also obtained that NCFC and NCSS produce almost similar results even if they are derived using different image analysis concepts. Numerous laboratory experiments have been conducted to check the applicability of the both the predictors. Based on the experimental data, it is envisaged that both the predictors can be used as precursors for monitoring rock failure mechanism. Keywords Detrended fluctuation analysis (DFA) Statistical analysis of image Rock failure process Digital image processing Optical flow method Lucas–Kanade method Predictors