Workshop - Uncertainty Quantification in DIC
National Physical Laboratory, Teddington, UK
February 2017
Chair: Dr Jerry Lord, BSSM
Image Correlation (DIC) is an extremely popular measurement tool utilised widely in experimental mechanics. By virtue of the optical technology it employs, it is easy to deploy and can acquire data where other techniques cannot. It is also very easy to gather full-field data quickly. However there is still a lack of understanding surrounding the uncertainties associated with DIC measurements. Some of the issues discussed included:
- What are the sources of error in DIC measurements?
- How can we quantify the uncertainties reliably?
- How do I use this uncertainty information?
- How does it propagate into derived data?
- Does uncertainty quantification (UQ) really matter?
Presentations
Uncertainty Quantification in Materials Testing
Jerry Lord, BSSM
Philip Reu, Sandia National Laboratories, USA
Application Example Uncertainties In SEM DIC Testing
Nick McCormick, NPL
Uncertainty Quantification In Digital Image Correlation - An Industry Perspective
Eszter Szigeti, Airbus
Louise Wright, NPL
Impact On Decision Making Of Quantified Uncertainty For DIC Measurements.
Eann Patterson, University of Liverpool
Knowing The Unknowns Quantifying Uncertainties In DIC Using Synthetic Images.
Pascal Lava, MatchID
The Story Of DIC Uncertainty Quantification, Thus Far.
Phillip Reu, Sandia National Laboratories, USA
Uncertainties In DIC Using Synthetic Images Identification And FE Model Validation.
Fabrice Pierron, University of Southampton
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