This paper explores the effect of different modelling strategies to represent geometrical imperfections and joints in flat thin-walled stiffened panels during buckling post-buckling. Compression tests were performed on aircraft grade aluminium alloy jointed L-shape stiffeners using rivets with digital image correlation used monitor out-of-plane deformations, mode shape changes failures such as ...

Using rigorous wave-optical formalism, a general expression is obtained for the image intensity distribution in combined analyser-based/propagation-based phase-contrast imaging. This expression takes into account partial coherence of the wave incident on the object as well as the finite resolution of the detector system. Using this general expression, two approaches based on the geometrical opt...

We study the branching random walk on weighted graphs; site-breeding and edgebreeding branching random walks on graphs are seen as particular cases. We describe the strong critical value in terms of a geometrical parameter of the graph. We characterize the weak critical value and relate it to another geometrical parameter. We prove that, at the strong critical value, the process dies out locall...

This study predicts the behavior of welded plate panels (unstiffened plates) with different geometrical properties (slenderness ratio and aspect ratio) in order to address a rational structural design procedure, as these parameters are great importance from perspective. Nonlinear finite element analysis has been used simulate butt-welding process panels, giving three-dimensional distribution di...

In this paper we propose a quantum random number generator (QRNG) which utilises an entangled photon pair in a Bell singlet state, and is certified explicitly by value indefiniteness. While “true randomness” is a mathematical impossibility, the certification by value indefiniteness ensures the quantum random bits are incomputable in the strongest sense. This is the first QRNG setup in which a p...

Image restoration is an important issue in high-level image processing. Images are often degraded during the data acquisition process. The degradation may involve blurring, information loss due to sampling, quantization effects, and various sources of noise. The purpose of image restoration is to estimate the original image from the degraded data. It is widely used in various fields of applicat...