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Georgios Kalogiannakis

Researcher at Katholieke Universiteit Leuven

Publications -  12
Citations -  185

Georgios Kalogiannakis is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Shearography & Nonlinear system. The author has an hindex of 6, co-authored 12 publications receiving 176 citations. Previous affiliations of Georgios Kalogiannakis include Vrije Universiteit Brussel.

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Measurements of Thermal Properties of Carbon/Epoxy and Glass/Epoxy using Modulated Temperature Differential Scanning Calorimetry

TL;DR: In this article, the authors focused on the mathematical formulation of the relationship between thermal properties and temperature and determined the heat capacity and the thermal conductivity of Carbon/Epoxy and Glass/ Epoxy cross-ply laminates in a temperature range of interest for the aircraft industry using an ASTM method.
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Investigation of contact acoustic nonlinearity in delaminations by shearographic imaging, laser doppler vibrometric scanning and finite difference modeling

TL;DR: Full-field dynamic shearography and laser Doppler vibrometric scanning are used to investigate the local contact acoustic nonlinear generation of delamination-induced effects on the vibration of a harmonically excited composite plate containing an artificial defect.
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Full-field imaging of nonclassical acoustic nonlinearity

TL;DR: In this article, the feasibility of full field shearographic detection of nonclassical acoustic nonlinearity is investigated, based on determining the asymmetry between shearography images stroboscopically obtained for positive and negative displacements, which allows us to easily and rapidly detect the tension-compression asymmetry which typically arises where nonbounded contact interface defects are present.
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Classification of wavelet decomposed AE signals based on parameter-less self organised mapping

TL;DR: A new type of a neural network which is called parameter-less self organised mapping, based on Kohonen neural networks but it is not bound to the naturally subjective learning rate, neighbourhood function and their annealing with the training progress is used.
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Numerical study on the nonlinear effects of heat diffusion in composites and its potential in nondestructive testing

TL;DR: In this article, a numerical model was developed to simulate the temperature distribution of the one-dimensional transient problem using a sinusoidal thermal excitation, and a comparison with the linear case showed that, depending on the loading parameters, heat diffusion has a tendency toward lower temperatures.