Personne :
Zhang, Hai

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Structures organisationnelles
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Université Laval. Laboratoire de vision et systèmes numériques
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Résultats de recherche

Voici les éléments 1 - 10 sur 17
  • Publication
    Non-destructive imaging of marqueteries based on a new infrared-terahertz fusion technique
    (Pergamon, 2022-06-25) Avdelidis, Nicolas P.; Hu, Jue; Zhang, Hai; Gargiulo, Gianfranco; Maldague, X.; Sfarra, Stefano; Zhang, Mingli; Yang, Dazhi
    Detection of subsurface defects has hitherto been regarded as an important element in the course of preserving cultural heritage. To do so, non-destructive imaging approaches for viewing and determining the location of splitting inside the sample under test are required, which constitute the subject of the present study. Both active thermography and terahertz imaging have demonstrated their potential in providing non-destructive inspection on cultural heritage objects. Conventionally, active thermography has been used to retrieve details on the defects as well as morphological data from the surface and subsurface, whereas pulsed terahertz imaging has been applied to record the internal material distribution. Here, the feature extraction, selection and fusion framework is extended to design a fusion process to merge the information obtained by both active thermography and terahertz imaging; in this way, the technique naturally inherits the strengths of both aforementioned imaging technologies. The fusion technique is able to produce images with high-contrast defect information located at different depths. To demonstrate the efficacy of the suggested technique, an experiment has been conducted on an ancient marquetry.
  • Publication
    Qualitative assessments via infrared vision of sub-surface defects present beneath decorative surface coatings
    (Springer, 2017-11-24) Lopez Rodriguez, Fernando; Zhang, Hai; Maldague, X.; Ibarra Castanedo, Clemente; Sfarra, Stefano; Fernandes, Henrique
    In this work, the potentialities of the infrared vision to explore sub-superficial defects in polychromatic statues were investigated. In particular, it was possible to understand how the reflector effect of the exterior golden layers could be minimized, applying advanced statistical algorithms to thermal images. Since this noble metal is present as external coating in both artworks, an in-depth discussion concerning its physicochemical properties is also added. In this context, the principal component thermography technique and, the more recent, partial least squares thermography technique were used on three different datasets recorded, providing long thermal stimuli. The main images were compared both to phasegrams and to the thermographic signal reconstruction results in order to have a clear outline of the situation to be debated. The effects of view factors on the radiation transfer linked to the specular reflections from the surface did not falsely highlight certain features inadvertently. Indeed, the raw thermograms were analyzed one by one. Reflectograms were used to pinpoint emissivity variations due to, e.g., possible repainting. The paper concludes that, as it is possible to understand from a physical point of view, the near-infrared reflectography technique is able to examine the state of conservation of the upper layers in cultural heritage objects, while the infrared thermography technique explores them more in-depth. The thesis statement is based on the thermal and nonthermal parts of the infrared region, therefore, indicating what can be detected by heating the surface and what can be visualized by illuminating the surface, bearing in mind the nature of the external coating.
  • Publication
    Novel infrared-terahertz fusion 3D non-invasive imaging of plant fibre-reinforced polymer composites
    (Barking Elsevier Applied Science, 2022-05-14) Hu, Jue; Zhang, Hai; Maldague, X.; Santulli, Carlo; Sfarra, Stefano; Tian, Guiyun
    The reinforcement of polymer composites using plant fibres has received vast and growing attention for investigation owing to their capability to serve as semi-structural materials, especially as a substitute for fiberglass. However, in this type of research, the structural complexity, due to geometrical mismatches and inherent variability to the properties of vegetable fibres and plant fibre composites would benefit from more effective noninvasive inspection techniques. In this work, a novel infrared-terahertz fused approach was proposed, and a new unsupervised deep residual fusion algorithm was developed in order to combine the outputs from two different physical mechanisms. Specifically, infrared imaging provided the details of the defects and the morphological information from the surface and subsurface, while terahertz imaging recorded the distribution of the fibres and the resin. Finally, the fused infrared-terahertz slices were reconstructed into a form of 3D exhibition for inspection and evaluation of two plant fibre-reinforced polymer composites in first time using multiphysical imaging and fusion.
  • Publication
    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, X.; Ibarra Castanedo, Clemente; Khodayar, Fariba; Sfarra, Stefano; Dirckx, Joris; Steenackers, Gunther
    The 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.
  • Publication
    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, X.; Peeters, Jeroen; Ibarra Castanedo, Clemente; Sfarra, Stefano; Lucca Sartori, Diogo de; Perilli, Stefano; Tirillò, Jacopo
    With 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
    Accès libre
    Thermographic non-destructive evaluation for natural fiber-reinforced composite laminates
    (Basel : MDPI, 2018-02-05) Avdelidis, Nicolas P.; Zhang, Hai; Sarasini, Fabrizio; Maldague, X.; Santulli, Carlo; Ibarra Castanedo, Clemente; Sfarra, Stefano; Fernandes, Henrique
    Natural fibers, including mineral and plant fibers, are increasingly used for polymer composite materials due to their low environmental impact. In this paper, thermographic non-destructive inspection techniques were used to evaluate and characterize basalt, jute/hemp and bagasse fibers composite panels. Different defects were analyzed in terms of impact damage, delaminations and resin abnormalities. Of particular interest, homogeneous particleboards of sugarcane bagasse, a new plant fiber material, were studied. Pulsed phase thermography and principal component thermography were used as the post-processing methods. In addition, ultrasonic C-scan and continuous wave terahertz imaging were also carried out on the mineral fiber laminates for comparative purposes. Finally, an analytical comparison of different methods was given.
  • Publication
    An infrared-induced terahertz imaging modality for foreign object detection in a lightweight honeycomb composite structure
    (Institute of Electrical and Electronics Engineers, 2018-05-02) Zhang, Hai; Maldague, X.; Osman, Ahmad; Genest, Marc; Szielasko, Klaus; Sfarra, Stefano; Stumm, Christopher
    In this paper, terahertz time-domain spectroscopy (THz-TDS) is used for the first time to detect fabricated defects in a glass fiber-skinned lightweight honeycomb composite panel. A novel amplitude polynomial regression (APR) algorithm is proposed as a preprocessing method. This method segments the amplitude–frequency curves to simulate the heating and the cooling monotonic behavior as in infrared thermography. Then, the method of empirical orthogonal function (EOF) imaging is applied on the APR preprocessed data as a postprocessing algorithm. Signal-to-noise ratio analysis is performed to verify the image improvement of the proposed APR-EOF modality from a quantitative point of view. Finally, the experimental results and the physical analysis show that THz is more suitable with respect to the detection of defects in glass fiber lightweight honeycomb composites.
  • Publication
    Accès libre
    Eddy current pulsed thermography for ballistic impact evaluation in basalt-carbon hybrid composite panels
    (Optical Society of America, 2018-04-03) Zhang, Hai; Maldague, X.; Osman, Ahmad; Ibarra Castanedo, Clemente; Sarasini, Fabrizio; Sfarra, Stefano; Netzelmann, Udo; Perilli, Stefano
    In this paper, eddy current pulsed thermography was used to evaluate ballistic impact damages in basalt-carbon hybrid fiber-reinforced polymer composite laminates for the first time, to our knowledge. In particular, different hybrid structures including intercalated stacking and sandwich-like sequences were used. Pulsed phase thermography, wavelet transform, principle component thermography, and partial least-squares thermography were used to process the thermographic data. Ultrasound C-scan testing and X-ray computed tomography were also performed for comparative purposes. Finite element analysis was used for validation. Finally, an analytical and comparative study was conducted based on signal-to-noise ratio analysis.
  • Publication
    Accès libre
    Enhanced infrared image processing for impacted carbon/glass fiber-reinforced composite evaluation
    (Molecular Diversity Preservation International (MDPI), 2017-12-26) Avdelidis, Nicolas P.; Zhang, Hai; Osman, Ahmad; Maldague, X.; Ibarra Castanedo, Clemente; Sfarra, Stefano; Fernandes, Henrique; Matikas, Theodore E.
    In this paper, an infrared pre-processing modality is presented. Different from a signal smoothing modality which only uses a polynomial fitting as the pre-processing method, the presented modality instead takes into account the low-order derivatives to pre-process the raw thermal data prior to applying the advanced post-processing techniques such as principal component thermography and pulsed phase thermography. Different cases were studied involving several defects in CFRPs and GFRPs for pulsed thermography and vibrothermography. Ultrasonic testing and signal-to-noise ratio analysis are used for the validation of the thermographic results. Finally, a verification that the presented modality can enhance the thermal image performance effectively is provided.
  • Publication
    Inspecting historical vaulted ceilings by means of physical and chemical analyses : an integrated approach combining active infrared thermography and reflectance spectroscopy
    (INCOSE, 2020-03-01) Zhang, Hai; Cheilakou, Eleni; Maldague, X.; Theodorakeas, Panagiotis; Ibarra Castanedo, Clemente; Sfarra, Stefano; Koui, Maria
    The present study discusses the experimental physicochemical results obtained from the historical vaulted ceilings of an ancient church located in central Italy. Infrared thermography (IRT) in the active configuration was used to map subsurface defects caused by a seismic event and to discover buried structures, while the visible and near-infrared (VIS-NIR) fibre optics diffuse reflectance spectroscopy (FORS) technique was applied to identify the pigments of wall paintings decorating the vault. Historical photographs are useful to readers in order to clarify the state of conservation before and after the earthquake that took place in 2009. The combination of the experimental results can be useful in restoration processes.