Personne : Mokhtari, Mohammed-Yacine
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Mokhtari
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Mohammed-Yacine
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Département de génie électrique et de génie informatique, Faculté des sciences et de génie, Université Laval
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ncf11908175
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Publication Restreint Impact modelling and a posteriori non-destructive evaluation of homogeneous particleboards of sugarcane bagasse(Springer, 2018-01-12) Mokhtari, Mohammed-Yacine; Avdelidis, Nicolas P.; Sarasini, Fabrizio; Zhang, Hai; Fiorelli, Juliano; Maldague, Xavier; Peeters, Jeroen; Ibarra Castanedo, Clemente; Sfarra, Stefano; Lucca Sartori, Diogo de; Perilli, Stefano; Tirillò, JacopoWith a view to gaining an in-depth assessment of the response of particleboards (PBs) to different in-service loading conditions, samples of high-density homogeneous PBs of sugarcane bagasse and castor oil polyurethane resin were manufactured and subjected to low velocity impacts using an instrumented drop weight impact tower and four different energy levels, namely 5, 10, 20 and 30 J. The prediction of the damage modes was assessed using Comsol Multiphysics ®. In particular, the random distribution of the fibres and their lengths were reproduced through a robust model. The experimentally obtained dent depths due to the impactor were compared with the ones numerically simulated showing good agreement. The post-impact damage was evaluated by a simultaneous system of image acquisitions coming from two different sensors. In particular, thermograms were recorded during the heating up and cooling down phases, while the specklegrams were gathered one at room temperature (as reference) and the remaining during the cooling down phase. On one hand, the specklegrams were processed via a new software package named Ncorr v.1.2, which is an open-source subset-based 2D digital image correlation (DIC) package that combines modern DIC algorithms proposed in the literature with additional enhancements. On the other hand, the thermographic results linked to a square pulse were compared with those coming from the laser line thermography technique that heats a line-region on the surface of the sample instead of a spot. Surprisingly, both the vibrothermography and the line scanning thermography methods coupled with a robotized system show substantial advantages in the defect detection around the impacted zone.Publication Restreint Optimised Dynamic line scan thermographic detection of CFRP inserts using FE updating and POD analysis(Elsevier, 2017-10-20) Peeters, Jeroen; Mokhtari, Mohammed-Yacine; Zhang, Hai; Maldague, Xavier; Ibarra Castanedo, Clemente; Khodayar, Fariba; Sfarra, Stefano; Dirckx, Joris; Steenackers, GuntherThe detection of delaminations in composite laminates using automated thermographic scanning is a quite challenging task. The set-up parameters are not only dependent on the equipment, but on the inspected component as well. In this work, a methodology is discussed to use Finite Element (FE) model updating to automatically establish the most suitable inspection parameters for a given combination of the structure and the investigated delamination depths. The optimised results are compared using binary Probability of Detection analysis and are benchmarked with parameter sets retrieved by an expert using the regular trial & error approach. The results show an improvement of the accuracy and scanning speed which significantly increases as the POD decreases and the complexity of the samples increases.