Applied Optics · 2007 · 146 citations · 33 references
EngineeringMaterials EngineeringMaterials ScienceComputer VisionDigital ImagingMachine VisionFracture DetectionFracture DiagnosticsFracture MechanicsFracture PropagationStrain MeasurementCrack GrowthCrack Growth MeasurementDisplacementDynamic FractureFracture Propagation AnalysisFracture Under Impact LoadingImaging System CalibrationStress Intensity Factor
The digital image correlation method is extended to the study of transient deformations such as the one associated with a rapid growth of cracks in materials. A newly introduced rotating mirror type, multichannel digital high-speed camera is used in the investigation. Details of calibrating the imaging system are first described, and the methodology to estimate and correct inherent misalignments in the optical channels are outlined. A series of benchmark experiments are used to determined the accuracy of the measured displacements. A 2%-6% pixel accuracy in displacement measurements is achieved. Subsequently, the method is used to study crack growth in edge cracked beams subjected to impact loading. Decorated speckle patterns in the crack tip vicinity at rates of 225,000 frames per second are registered. Two sets of images are recorded, one before the impact and another after the impact. Using the image correlation algorithms developed for this work, the entire crack tip deformation history, from the time of impact to complete fracture, is mapped. The crack opening displacements are then analyzed to obtain the history of failure characterization parameter, namely, the dynamic stress intensity factor. The measurements are independently verified successfully by a complementary numerical analysis of the problem.
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Smoothing noisy data with spline functions
Peter G. Craven, Grace Wahba · Numerische Mathematik · 1978 · 3.4K citations
C. Reinsch · Numerische Mathematik · 1967 · 2.2K citations
Determination of displacements using an improved digital correlation method
MA Sutton, WJ Wolters, WH Peters et al. · Image and Vision Computing · 1983 · 1.8K citations