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20212024
most citedThree-dimensional deep learning-based reduced order model for unsteady flow dynamics with variable Reynolds number

59 citations · 63 across the 10 of their papers we have counts for

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physics.flu-dyn20241 cited

A Graph Neural Network Surrogate Model for Multi-Objective Fluid-Acoustic Shape Optimization

Farnoosh Hadizadeh, Wrik Mallik, Rajeev K. Jaiman

This article presents a graph neural network (GNN) based surrogate modeling approach for fluid-acoustic shape optimization. The GNN model transforms mesh-based simulations into a c…

physics.flu-dyn20241 cited

Flow-Induced Vibration of Flexible Hydrofoil Within Cavitating Turbulent Flow

Zhi Cheng, Rajeev Jaiman

The flow-induced vibration and cavitation dynamics of three-dimensional flow past a cantilever flexible hydrofoil are investigated using a large eddy simulation (LES) model, a homo…

physics.flu-dyn2024

A 3D phase-field based Eulerian variational framework for multiphase fluid-structure interaction with contact dynamics

Xiaoyu Mao, Rajeev Jaiman

Using a fixed Eulerian mesh, the phase-field method has been successfully utilized for a broad range of moving boundary problems involving multiphase fluids and single-phase fluid-…

physics.flu-dyn2023

A finite element framework for fluid-structure interaction of turbulent cavitating flows with flexible structures

Nihar B. Darbhamulla, Rajeev K. Jaiman

We present a finite element framework for the numerical prediction of cavitating turbulent flows interacting with flexible structures. The vapor-fluid phases are captured through a…

physics.flu-dyn2023

Coupled dynamics of steady jet flow control for flexible membrane wings

Guojun Li, Rajeev Kumar Jaiman, Hongzhong Liu

We present a steady jet flow-based flow control of flexible membrane wings for an adaptive and efficient motion of bat-inspired drones in complex flight environments. A body-fitted…

physics.flu-dyn2023

A parametric level set method with convolutional encoder-decoder network for shape optimization with fluid flow

Wrik Mallik, Rajeev K. Jaiman, Jasmin Jelovica

In this article, we present a new data-driven shape optimization approach for implicit hydrofoil morphing via a polynomial perturbation of parametric level set representation. With…