106 citations · 883 across the 63 of their papers we have counts for
6 papers · 1 filter
3D Common-Refinement Method for Non-Matching Meshes in Partitioned Variational Fluid-Structure Analysis
Yulong Li, Yun Zhi Law, Vaibhav Joshi +1
We present a three-dimensional (3D) common-refinement method for non-matching meshes between discrete non-overlapping subdomains of incompressible fluid and nonlinear hyperelastic…
A Variational Projection Scheme for Nonmatching Surface-to-Line Coupling between 3D Flexible Multibody System and Incompressible Turbulent Flow
P S Gurugubelli, R Ghoshal, V Joshi +1
This paper is concerned with the partitioned iterative formulation to simulate the fluid-structure interaction of a nonlinear multibody system in an incompressible turbulent flow.…
On the Mechanism of Large Amplitude Flapping of Inverted Foil in a Uniform Flow
P. S. Gurugubelli, R. K. Jaiman
An elastic foil interacting with a uniform flow with its trailing edge clamped, also known as the inverted foil, exhibits a wide range of complex self-induced flapping regimes such…
A positivity preserving and conservative variational scheme for phase-field modeling of two-phase flows
Vaibhav Joshi, Rajeev K. Jaiman
We present a positivity preserving variational scheme for the phase-field modeling of incompressible two-phase flows with high density ratio and using meshes of arbitrary topology.…
An adaptive variational procedure for the conservative and positivity preserving Allen-Cahn phase-field model
Vaibhav Joshi, Rajeev K. Jaiman
We present an adaptive variational procedure for unstructured meshes to capture fluid-fluid interfaces in two-phase flows. The two phases are modeled by the phase-field finite elem…
An Efficient Deep Learning Technique for the Navier-Stokes Equations: Application to Unsteady Wake Flow Dynamics
Tharindu P. Miyanawala, Rajeev K. Jaiman
We present an efficient deep learning technique for the model reduction of the Navier-Stokes equations for unsteady flow problems. The proposed technique relies on the Convolutiona…