Digital Image Correlation and Noise-filtering Approach for the Cracking Assessment of Massive Reinforced Concrete Structures

This paper describes the use of Digital Image Correlation (DIC) techniques for the cracking assessment of reinforced concrete (RC) massive beams and walls. DIC is known to provide accurate and detailed information on displacement and strain fields. Non-contact measurements can be used to evaluate concrete cracking of destructive tests carried out on a wide range of specimen scales. When applied to large RC structures tested outdoors or in difficultly controllable conditions, DIC-based methods may lead to erroneous results. In this study a post-processing procedure is presented to cope with noisy full-field measurements. The proposed cracking assessment approach is validated on a large experimental campaign. Four points bending tests are carried out on RC beams: firstly on full-scale rectangular beams and then on mock-ups scaled down by 1/3. In addition, fours RC walls are tested under in-plane cyclic shear up to failure. Digital images taken throughout the tests are processed by DIC techniques to provide in-plane displacement and strain fields. Full-field measurements are post-processed by the noise-filtering technique and the cracks patterns are identified. Crack widths are measured and compared with measurements obtained from conventional point-based sensors (linear variable differential transformer LVDT and fibre-optic FO transducers). The proposed DIC-based post-processing provides accurate estimation of cracks width for most of the tests. The analyses carried out on the two groups of RC beams show a scale-effect on the cracks width.