Image-Based Sensing of 3-D Displacements for Enhanced Soil Model Calibration
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Calibration of soil constitutive parameters is performed traditionally by analyzing results from triaxial experiments, which are equipped to measure only vertical stress and strain responses and average volumetric responses. Material response characterization thus is relegated to an overall, averaged sense. The 3-D image-based sensing technique of 3D Digital Image Correlation (3D-DIC) allows capturing spatio-temporal displacement processes over triaxial specimen surfaces. Utilizing stereo digital images, 3D-DIC captures hundreds of thousands of local displacement measurements over a specimen's surface. This work introduces the exploratory data analysis of displacement field's ensembles that are currently used for the probabilistic calibration of constitutive parameters. Copyright ASCE 2006.