3 papers
physics.flu-dyn2024
Minimizing Nature's Cost: Exploring Data-Free Physics-Informed Neural Network Solvers for Fluid Mechanics Applications
Abdelrahman Elmaradny, Ahmed Atallah, Haithem Taha
In this paper, we present a novel approach for fluid dynamic simulations by harnessing the capabilities of Physics-Informed Neural Networks (PINNs) guided by the newly unveiled pri…
physics.flu-dyn2023
Vortex Dynamics: A Variational Approach Using the Principle of Least Action
Nabil M. Khalifa, Haithem E. Taha
The study of vortex dynamics using a variational formulation has an extensive history and a rich literature. The standard Hamiltonian function that describes the dynamics of intera…
physics.flu-dyn2023
Thrust Enhancement and Degradation Mechanisms due to Self-Induced Vibrations in Bio-inspired Flying Robots
Dipan Deb, Kevin Huang, Aakash Verma +2
Whenever a flapping robot moves along a trajectory it experiences some vibration about its mean path. Even for a hovering case, a flier experiences such vibration due to the oscill…