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Extracting relevant mechanical information from 4D tomography data using Digital Volume Correlation
Summary:With the rapid development of 4D X-ray computed tomography, Digital Volume Correlation (DVC) has recently emerged as a powerful contactless, bulk strain measurement technique in experimental mechanics, materials science, and biomechanics. Learn about the importance of imaging noise and texture when using DVC (displacement/strain accuracy, texture analysis, subset size, etc.), understand how to perform a DVC analysis, analyse and compare the data with FE models in a sophisticated way. The training is organised in two parts: theory (0.5 day) and computer-based practical works (0.5 day) using the XDigitalVolumeCorrelation extension in the Thermo Scientific™ Amira-Avizo Software 9.4 where two solutions are implemented (a classic subset based approach and a more robust global approach).
Who should attend?Researchers working in the field of mechanics, physics, and materials science using 3D imaging techniques such as X-ray computed tomography who are interested to (i) compute 3D full-field displacements and strains for linking the microstructure to the mechanical/physical behaviour, (ii) use the DVC measured data to feed/validate finite element models, and (iii) identify material parameters using integrated DVC approaches. The attendees are requested to bring their own laptop to practise on the new XDigitalVolumeCorrelation extension (free trial licence will be provided).
Instructors:Dr Kamel Madi & Dr Loic Courtois: 3Dmagination Ltd, UK Pr F. Hild: LMT Cachan, France
Theory (0.5 day on July 5th, 2018):
Practice (0.5 day on July 6th, 2018):
FeeA fee of €100 (excluding VAT) will be charged for attendance of both workshops. The maximum number of participants is limited to 25