Rock Mechanics and Rock Engineering

, Volume 52, Issue 11, pp 4203–4216 | Cite as

Applications of Digital Image Correlation (DIC) and the Strain Gage Method for Measuring Dynamic Mode I Fracture Parameters of the White Marble Specimen

  • Zhongwen Yue
  • Yao SongEmail author
  • Penghui Li
  • Shiying Tian
  • Xiaodan Ming
  • Zhiyuan Chen
Original Paper


Digital image correlation (DIC) and the strain gage method are both widely used in characterizing the fracture mechanisms of materials. However, the quantitative comparisons of rock fracture parameters between the two methods have been studied insufficiently. In this paper, dynamic three-point bending impact tests were performed on white marble specimens using DIC and the strain gage method simultaneously. The complete cracking process was recorded by two high-speed cameras situated on either side of the specimen. The crack propagation velocities were obtained and the dynamic stress intensity factors (DSIFs) were calculated by both methods for analysis and comparison. The experimental results show that the crack propagation velocities almost remain constant during the cracking process, and the evolutions of strain values recorded by gages are consistent with the modified strain variations obtained theoretically. DSIFs calculated by DIC show good agreement with the results obtained from strain gages #1 to #4, while the size effect and the multiple stress waves interfere with the strain signals sensed in strain gage #5, causing a relatively larger deviation in the DSIF. In addition, the complete fracture process (including the variations in successive displacement and strain fields) can be obtained by the DIC method, while a rough changing trend in the DSIF can be given by the strain gage method with a limited number of strain gages.


Digital image correlation (DIC) Strain gage Dynamic stress intensity factor (DSIF) Dynamic three-point bending White marble material 

List of Symbols

\(\left( {x,y} \right)\)

Coordinate of the testing strain gage


Shear modulus


Strain values recorded by gages

\(\varepsilon_{\text{max} }\)

Maximum value of modified strain curve

\(A_{0} ,A_{1} ,B_{0}\)

Constant parameters in three-parameter model


Crack propagation velocity


Average crack propagation velocity

\(c_{1} ,c_{2}\)

Longitudinal and shear wave velocities, respectively


Poisson’s ratio


Orientation of strain gage


Dynamic Young’s modulus


Density of the specimen


Perpendicular distance between gage and cracking path


Displacement components

\(\Delta x,\Delta y\)

Distances between point O and point P

\(\frac{\partial u}{\partial x},\frac{\partial u}{\partial y},\frac{\partial v}{\partial x},\frac{\partial v}{\partial y}\)

Gradients of displacement components

\(f\left( {x,y} \right),g\left( {x,y} \right)\)

Gray-level values for reference and deformed image


Average gray-level value of subimage

\(T_{x} ,T_{y} ,R\)

Rigid-body translation and rotation


Dynamic mode I stress intensity factor



Digital image correlation


Dynamic stress intensity factor


Polymethyl methacrylate


Notched semicircular bend


Region of interest


Acoustic emission signal parameter



This research was supported by the National Key Research and Development Program (2016YFC060090X). The authors gratefully acknowledge the editorial staff of RMRE and the reviewers.


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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Mechanics and Civil EngineeringChina University of Mining and TechnologyBeijingChina

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