New optimization algorithm for optimal spatial sampling during non-destructive testing of concrete structures
GOMEZ CARDENAS, Carolina
Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
Laboratoire Matériaux et Durabilité des constructions [LMDC]
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Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
Laboratoire Matériaux et Durabilité des constructions [LMDC]
GOMEZ CARDENAS, Carolina
Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
Laboratoire Matériaux et Durabilité des constructions [LMDC]
< Reduce
Institut de Mécanique et d'Ingénierie de Bordeaux [I2M]
Laboratoire Matériaux et Durabilité des constructions [LMDC]
Language
en
Article de revue
This item was published in
Engineering Structures. 2015-01-14, vol. Engineering Structures, n° 88, p. 92_99
Elsevier
English Abstract
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 ...Read more >
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.Read less <
English Keywords
NDT Optimization Concrete structure Diagnosis Spatial variability
Origin
Hal imported