New optimization algorithm for optimal spatial sampling during non-destructive testing of concrete structures
Langue
en
Article de revue
Ce document a été publié dans
Engineering Structures. 2015-01-14, vol. Engineering Structures, n° 88, p. 92_99
Elsevier
Résumé en anglais
Non-destructive Testing (NDT) techniques are essential in order to assess properties or detect anomalies(cracks, pathologies, etc.) in concrete during the diagnosis of structures. However, due to budgetlimitations, an ...Lire la suite >
Non-destructive Testing (NDT) techniques are essential in order to assess properties or detect anomalies(cracks, pathologies, etc.) in concrete during the diagnosis of structures. However, due to budgetlimitations, an optimal methodology to estimate the integrity of a structure at minimum cost is required.This paper presents a spatial optimization of NDT measurements (ultrasound) based on their spatialcorrelation. The optimization is performed in two steps. First, the relationship between the number ofmeasurements organized in a regular grid and the fitness function value are determined using spatialinterpolation (kriging method). Then, using an Optimization Spatial Sampling Method developed for thisstudy (OSSM), the fitness function is minimized by changing the positions of a chosen number of NDTmeasurements. The theoretical development and the results obtained with both simulated and real dataare presented and discussed.< Réduire
Mots clés en anglais
NDT Optimization Concrete structure Diagnosis Spatial variability
Origine
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