37 citations · 69 across the 6 of their papers we have counts for
6 papers
On Potentials and Complementary Potentials in One-Dimensional Nonlocal Integral Formulations
Marko Čanađija, Ante Skoblar
The present research presents potentials and complementary potentials used in the one-dimensional nonlocal integral formulations. The pure stress and the pure strain nonlocal formu…
Recovering Mullins damage hyperelastic behaviour with physics augmented neural networks
Martin Zlatić, Marko Čanađija
The aim of this work is to develop a neural network for modelling incompressible hyperelastic behaviour with isotropic damage, the so-called Mullins effect. This is obtained throug…
Carbon Nanotubes as a Basis of Metamaterials and Nanostructures: Crafting via Design Optimization
Marko Čanađija, Stefan Ivić
Nanotruss structures made of carbon nanotubes are investigated in two conceptual applications: either as building blocks of metamaterials or for nanostructural applications. The na…
A computational framework for nanotrusses: input convex neural networks approach
Marko Čanađija, Valentina Košmerl, Martin Zlatić +2
The present research aims to provide a practical numerical tool for the mechanical analysis of nanoscale trusses with similar accuracy to molecular dynamics (MD). As a first step,…
Deep learning framework for carbon nanotubes: mechanical properties and modeling strategies
Marko Canadija
Tensile tests at room temperature are performed using molecular dynamics on all configurations of single-walled carbon nanotubes up to 4 nm in diameter. Distributions of the Young'…
Dynamic behavior of nanobeams under axial loads: Integral elasticity modeling and size-dependent eigenfrequencies assessment
Raffaele Barretta, Marko Čanađija, Francesco Marotti de Sciarra +2
In this article, eigenfrequencies of nano-beams under axial loads are assessed by making recourse to the well-posed stress-driven nonlocal model (SDM) and strain-driven two-phase l…