Toward virtual design and optimization of a structural test monitored by a multi-view system

Abstract

In order to characterize the mechanical behavior of a reinforced concrete beam–column joint, an experiment is designed whereby different histories of increasing cyclic loads are applied, and the structure deformation (as well as the morphology of apparent surface cracks) is studied using multi-view correlation. The complex three-dimensional geometry and the slender nature of the beam and column call for numerous digital cameras were positioned around the specimen. Assessing the feasibility of image acquisition and estimating a priori uncertainties on multi-view correlation became a true challenge. It is shown that the recourse to photo-realistic rendering software provides the needed tools to perform this experiment design optimization.

Displacement uncertainties with multiview correlation schemes

“…Finally, let us note that the present tools are very useful when designing and optimizing experiments monitored by multiview systems. 48…”

On the validation of a priori estimates of standard displacement uncertainties in T3-stereocorrelation

“…For the selected experimental setup, the a priori estimates of standard displacement uncertainties were experimentally validated for all 14 tests. This result is, for example, very useful for designing and optimizing multiview systems (i.e., lowering the measurement uncertainties by suited camera placements [39]). Such uncertainty quantifications will have to be investigated for more complex shapes and surface geometries for which the mean field approximations utilized herein may be further challenged.…”

“…These fields, as assumed in the mean field approximation, do not vary much over the region of interest, and are, on average, about 2.7 times higher in the in-plane directions in comparison to those in the out-of-plane directions. This information is very useful, for instance, when designing experiments and having to place cameras in an optimal way (i.e., minimizing the measurement uncertainties [39]). Each row reports the results for X, Y and Z directions.…”

Displacement Uncertainty Quantifications in T3-Stereocorrelation

“…These fields, as assumed in the mean field approximation, do not vary much over the region of interest of the CMC sample (more over the calibration target due to its roof top shape), and are, on average, more than 3 times higher in the in-plane directions in comparison with those in the out-of-plane directions. This information is very useful, for instance, when designing experiments and having to place cameras in an optimal way (i.e., minimizing the measurement uncertainties [40]).…”