Decision making for concrete evaluation using fusion of NDT techniques
Résumé
Non-Destructive Testing (NDT) techniques are affected by concrete properties such as porosity, water content, strength, etc. Extracting one concrete property from one NDT measurement may lead to considerable uncertainties. This highlights the benefit of NDT data fusion to evaluate accurately concrete properties. In this paper, NDT measurements from several NDT techniques were combined to predict more accurately concrete properties such as porosity and water saturation. Two techniques of data fusion were used namely neuro-fuzzy network and theory of possibility. The results obtained show the effectiveness of the statistical modelling to predict the properties of concretes by fusion of NDT measurements.