The measures of the heavens and the Earth have been inextricably intertwined throughout history. Until the seventeenth century, determining geographical position required knowledge of the position and the distance to celestial bodies, measures that in turn depended on the distance between two observing sites on Earth.
Motivation is a critical factor in academic performance. In the case of aerospace engineering education, it is particularly necessary due to the difficulty of the subject, so it is essential to use reliable instruments to allow aerospace engineering teachers to understand how their students’ motivation works.
In this work an approach to representing debris floods and flows is proposed, based on a depth-integrated mathematical model and smooth particle hydrodynamics numerical technique.
In this paper we consider a system of three parabolic equations modeling the behavior of two biological species moving attracted by a chemical factor. The chemical substance verifies a parabolic equation with slow diffusion.
A transition prediction method for flow over airfoils based on high-order dynamic mode decomposition
This article presents a novel approach for predicting transition locations over airfoils, which are used to activate turbulence model in a Reynolds-averaged Navier-Stokes flow solver. This approach combines Dynamic Mode Decomposition (DMD) with eN criterion.
In this contribution, we consider the Dynamic Mode Decomposition (DMD) framework as a purely data-driven tool to investigate both standard and actuated turbulent channel databases via Direct Numerical Simulation (DNS). Both databases have comparable Reynolds number Re ≈ 3600.