Recent breakthroughs in computing power have made it feasible to use machine learning
and deep learning to advance scientific computing in many fields, including fluid mechanics …

Advancements in computing power have recently made it possible to utilize machine
learning and deep learning to push scientific computing forward in a range of disciplines …

We investigate the complex band structure and forced response of flexural waves
propagating in an elastic metamaterial thick plate. Mindlin-Reissner thick plate theory is …

Soil layers surrounding metro tunnels occasionally have varying characteristics in the
longitudinal direction. In the existing vibration prediction model, the soil is usually simplified …

This paper deals with the waveguide finite element (WFE) method for broadband vibration
analysis of rotating and prestressed circular structures. The equilibrium equations governing …

Finite Element based methods are of interest when the analytical solution for a waveguide
cross section is not available. In this work, efforts are made towards the reduction of the …

In this paper, a Floquet Model Order Reduction (MOR) method is proposed for the modelling
of finite periodic structures subjected to harmonic or transient loads. This Floquet MOR …

Two kinds of numerical approaches able to predict the dynamic response of periodic
structures and metamaterials are presented. Both of them are model reduction techniques …

This paper investigates the potential of two types of locally resonant metamaterials to damp
out the vibrations of flexible rotating rings. First, a classical solution using tuned vibration …

This paper is devoted to study the rotational periodic boundary value problem for a fractional‐
order nonlinear differential equation. Applying topology‐degree theory and the Leray …