NDT Data Fusion for Evaluating Concrete Structures

Abstract

International audienceSimultaneous estimation of porosity rate and water saturation is studied for undamaged concrete. Data fusion based on possibility theory is selected to deal with imprecise and uncertain available data, and with the need of quantitative estimation of indicators. Applications provide a good agreement between predicted and expected values of porosity and saturation

Evaluation of concrete water content and other durability indicators by electromagnetic measurements

“…This program enables to determine linear cross-correlations between the NO measurements and the concrete properties: porosity, water and chloride contents [10]. For 2 parameters (water content and porosity), a data fusion procedure was developed to highlight the best inference by taking into account the measurement uncertainties, the accuracy and the efficiency of each ND technique [11]. For structures in marine environment, it is important to include the chloride content (3f d parameter).…”

Prediction of the Static Modulus of Elasticity Using Four non Destructive Testing

“…When these tests first appear, it was common to predict the concrete strength using only one of the above tests; however, as found by many researchers (Qindan, Paolo, & Stefan, 2011;Samarin & Meynink, 1981;Miretti, Carrasco, Grether, & Passerino, 2004;Hola & Schabowicz, 2005), the combination of a number of NDTs can lead to more accurate and reliable models. In order to approximate the estimations of indicators (response variables), e.g., Ploix et al (Ploix, Garnier, Breysse, & Moysan, 2011) performed a combination or fusion of NDTs data as radar test, electrical resistivity and electrical capacity, infrared thermography, impact echo and ultrasounds to predict the simultaneous estimation of water saturation and porosity rate in concrete, for undamaged concretes measured in laboratory conditions; they measured different NDTs parameters, such as frequencies, velocities, attenuations, etc., that conducted to an statistical analysis with the purpose of identify empirical correlations linking each experimental parameter to both searched indicators; water saturation and porosity rate. There were identified correlations based on bilinear regressions, as a first approach, but since some different NDTs measurements are extremely sensitive to material heterogeneity, variability and experimental noise, relative disagreement or conflict between sources of information (i.e.…”

Predicting Concrete Compressive Strength and Modulus of Rupture Using Different NDT Techniques

“…Comparative graphs of the mechanical properties measurements against nondestructive tests carried out were plotted; they were constructed with the point values of the readings recorded for each mixture at different ages (3,7,14,21, and 28 days). Figure 1(a) shows the scatter plot of the ERT measurements versus the values of cylinders types I and II for the concrete considered as made in situ.…”

“…However, as found by many researchers, the combination of different NDTs can lead to more accurate and reliable models [9,[11][12][13]. In order to approximate the appropriate estimates of indicators (response variables), for example, Ploix et al [14] performed a combination or fusion of NDT data as radar test, electrical resistivity and capacity, infrared thermography, impact echo, and ultrasound to predict the simultaneous estimation of the water saturation and porosity rate in concrete for undamaged concretes measured in laboratory conditions. They measured different NDT parameters, such as frequencies, velocities, and attenuations, and after that they conducted an statistical analysis with the purpose of identifying empirical correlations, linking each experimental parameter to both searched indicators.…”