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An Adaptive NDT Inspection Strategy to Assess the Spatial Variability of Concrete Structures

An Adaptive NDT Inspection Strategy to Assess the Spatial Variability of Concrete Structures
Auteur(s): ,
Présenté pendant IABSE Symposium: Tomorrow’s Megastructures, Nantes, France, 19-21 September 2018, publié dans , pp. S24-43
DOI: 10.2749/nantes.2018.s24-43
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Spatial variability is an essential key in modeling material properties, loading or the deterioration process in structural engineering degradation. Non-destructive Testing (NDT) technique is a cru...
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Détails bibliographiques

Auteur(s): (Research Institute in Civil and Mechanical Engineering (GeM), Université de Nantes, UMR CNRS 6183, 2 rue de la Houssinière, 44322 Nantes, France)
(Research Institute in Civil and Mechanical Engineering (GeM), Université de Nantes, UMR CNRS 6183, 2 rue de la Houssinière, 44322 Nantes, France)
Médium: papier de conférence
Langue(s): anglais
Conférence: IABSE Symposium: Tomorrow’s Megastructures, Nantes, France, 19-21 September 2018
Publié dans:
Page(s): S24-43 Nombre total de pages (du PDF): 8
Page(s): S24-43
Nombre total de pages (du PDF): 8
DOI: 10.2749/nantes.2018.s24-43
Abstrait:

Spatial variability is an essential key in modeling material properties, loading or the deterioration process in structural engineering degradation. Non-destructive Testing (NDT) technique is a crucial tool to characterize this spatial variability. In this paper, we propose an original approach that enables to characterize the spatial variability of structure through discrete and limited measurements in efficient and accurate way. An adaptive approach based on two indicators errors is performed to model the quantities of interest. Firstly, an error indicator is run to estimate an accurate parameter of fluctuations using Maximum Likelihood Estimate (MLE) from a set of measurements. Secondly, the accuracy of the estimated moments of the field from the current number of measures is revised by analyzing the behavior of the second indicator. The advantage of this approach is that the spatial correlation is not neglected between measurements and the range of the correlation is given in good way within a desirable threshold. The potential of the presented approach is demonstrated through numerical examples with synthetic and experimental data.