Recent results concerning the topological properties of random geometrical sets have been successfully applied to the study of the morphology of clusters in percolation theory. This approach provides an alternative way of inspecting the critical behaviour of random systems in statistical mechanics. For the 2d q-states Potts model with q ≤ 6, intensive and accurate numerics indicates that the av...

Abstract Arches are one of the predominant structural elements for bridges with big spans. With current technological advancement, they applicable in pure form, without any transverse stabilizing systems. The slender form arch leads to reduction their capacity due stability failure. Their behaviour is directly related presence first and second order effects – imperfections deformed state. typic...

Ferromagnetic resonance experiment was performed to study the magnonic modes of an antidot lattice nanopatterned in a sputtered Co 2 MnSi Heusler alloy thin film. The crystal prepared with Ga + focused ion beam, and micromagnetic simulations were used explain qualitatively quantitatively complex experimental spin waves spectrum. We demonstrate necessity consider geometrical imperfections modifi...

The present work investigates the elasto-visco-plastic buckling of thick plate structures. Methods to estimate thin shells and plates are proposed in literature. To knowledge authors, only few works experimental results, none treat plate. Thick rectangular chosen as a structure interest study buckling. A modelling/experimental approach is followed solve such problem. Buckling experiments at roo...

The article introduces quantile deviation l as a new sensitivity measure based on the difference between superquantile and subquantile. New global indices square of are presented. proposed compared with quantile-oriented subordinated to contrasts classical Sobol indices. comparison is performed in case study using non-linear mathematical function, output which represents elastic resistance slen...

Networks are mathematical structures that are universally used to describe a large variety of complex systems such as the brain or the Internet. Characterizing the geometrical properties of these networks has become increasingly relevant for routing problems, inference and data mining. In real growing networks, topological, structural and geometrical properties emerge spontaneously from their d...