106 citations · 883 across the 63 of their papers we have counts for
7 papers · 1 filter
Flow-excited membrane instability at moderate Reynolds numbers
Guojun Li, Rajeev Kumar Jaiman, Boo Cheong Khoo
In this paper, we study the fluid-structure interaction (FSI) of a three-dimensional (3D) flexible membrane immersed in an unsteady separated flow at moderate Reynolds numbers. We…
Assessment of unsteady flow predictions using hybrid deep learning based reduced order models
Sandeep Reddy Bukka, Rachit Gupta, Allan Ross Magee +1
In this paper, we present two deep learning-based hybrid data-driven reduced order models for the prediction of unsteady fluid flows. The first model projects the high-fidelity tim…
A variational interface-preserving and conservative phase-field method for the surface tension effect in two-phase flows
Xiaoyu Mao, Vaibhav Joshi, Rajeev Jaiman
We present a finite element based variational interface-preserving and conservative phase-field formulation for the modeling of incompressible two-phase flows with surface tension…
Aeroelastic mode decomposition framework and mode selection mechanism in fluid-membrane interaction
G. Li, R. K. Jaiman, B. C. Khoo
In this study, we present a global Fourier mode decomposition framework for unsteady fluid-structure interaction. We apply the framework to isolate and extract the aeroelastic mode…
Transverse flow-induced vibrations of a sphere in the proximity of a free surface: A numerical study
Amir Chizfahm, Vaibhav Joshi, Rajeev Jaiman
We present a numerical study on the transverse flow-induced vibration (FIV) of an elastically mounted sphere in the vicinity of a free surface at subcritical Reynolds numbers. To b…
A variational flexible multibody formulation for partitioned fluid-structure interaction: Application to bat-inspired drones and unmanned air-vehicles
Vaibhav Joshi, Rajeev K. Jaiman, Carl Ollivier-Gooch
We present a three-dimensional (3D) partitioned aeroelastic formulation for a flexible multibody system interacting with incompressible turbulent fluid flow. While the incompressib…
Deep Convolutional Recurrent Autoencoders for Flow Field Prediction
Sandeep Reddy Bukka, Allan Ross Magee, Rajeev Kumar Jaiman
In this paper, an end-to-end nonlinear model reduction methodology is presented based on the convolutional recurrent autoencoder networks. The methodology is developed in the conte…