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Theory and Background Knowledge

Core concepts and considerations for accurate DIC measurements. Topics include selecting appropriate subset sizes, step sizes, and strain filters; understanding projection error and strain tensor formulations; avoiding pitfalls when averaging angular data; validating DIC results against strain gauges; and optimizing hardware setup through proper lens selection and stereo angle configuration.

  • Strain Tensors and Criteria in Vic

    When comparing strain values obtained from DIC to analytical results or to strain results obtained from other measurement methods, it's important to select the strain tensor which matches your expecte...

  • Projection Error: Explanation and Causes

    Introduction When running a correlation in Vic-3D, one of the values given for each image is the Projection error. This article will explain how the projection error is calculated and what can cause a...

  • Subset, Step Size and Strain Filter Selection

    Summary and Overview Here we will discuss subset size, step size and strain filter selection.  In short, you want your subset to be larger than your speckle sizes and for most applications your step s...

  • Speckle Pattern Fundamentals

    In digital image correlation, the quality of the data is often dependent on the quality of the speckle pattern.  Using an optimal speckle pattern is one of the most important factors in reducing measu...

  • Comparing 2D DIC Data to Theory/Strain Gauges/Other Techniques

    INTERPRETING 2D DIC DATA Why does my strain or displacement data not match theory or other measuring techniques? INTRODUCTION Digital Image Correlation (DIC) data is often used as a validation method,...

  • Resolution and Accuracy

    System Specs Many things in our test set-up can affect our noise and resolution, but with a good setup, the following rules of thumb can be applied to estimate what type of noise and resolution you ca...

  • Comparing 3D DIC Data to Theory/Strain Gauges/Other Techniques

     INTERPRETING 3D DIC DATA  Why does my strain or displacement data not match theory or other measuring techniques?  INTRODUCTION Digital Image Correlation (DIC) data is often used as a validation meth...

  • Lens Selection and Stereo Angle

    Generally speaking, there are not many rules to setting up cameras, such as the stereo angle between cameras and lens selection because the calibration calculates all the parameters, such as stereo an...

  • 2D Digital Image Correlation Applications

    Vic 2D Applications          In order for a setup to be a good 2D application (with just one camera), the specimen must be: Specimen must be flat Specimen must be planar to camera sensor No part of th...

  • Heat Waves in Digital Image Correlation

    Overview When heat sources or hot surfaces are present in a DIC testing setup, refractive heat waves may distort your image; this distortion is not always apparent but it can create major errors in yo...