Calibration of concrete parameters based on digital image correlation and inverse analysis

The main goal of this paper is to present a robust calibration procedure of essential material parameters of concrete models, based on both full-field measurements and inverse analysis. The proposed method uses a simple laboratory test and home-made correlation software alongside a fast camera. Usually, a full set of material model parameters of concrete can be determined through application of several different tests and specimen conditions. A recent method requires just one test for identification of most of the model constants. It reduces the time needed for testing and provides a relatively fast calibration of the selected parameters through minimization of discrepancies both of experimentally measured displacement fields on the specimen surface and of the numerically computed corresponding quantities. A study of an efficient correlation algorithm and of a reliable minimization gradient-based algorithm is also presented.