4 citations · 13 across the 7 of their papers we have counts for
18 papers
Self-sustained oscillations in whiskers without vortex shedding
Shayan Heydari, Mitra J. Z. Hartmann, Neelesh A. Patankar +1
Sensing the flow of water or air disturbance is critical for the survival of many animals: flow information helps them localize food, mates, and prey and to escape predators. Acros…
Combined space-time reduced-order model with 3D deep convolution for extrapolating fluid dynamics
Indu Kant Deo, Rui Gao, Rajeev Jaiman
There is a critical need for efficient and reliable active flow control strategies to reduce drag and noise in aerospace and marine engineering applications. While traditional full…
Unsteady cavitation dynamics and frequency lock-in of a freely vibrating hydrofoil at high Reynolds number
Suraj R. Kashyap, Rajeev K. Jaiman
We investigate the influence of unsteady partial cavitation on the fluid-structure interaction of a freely vibrating hydrofoil section at high Reynolds numbers. We consider an elas…
Deep convolutional neural network for shape optimization using level-set approach
Wrik Mallik, Neil Farvolden, Jasmin Jelovica +1
This article presents a reduced-order modeling methodology via deep convolutional neural networks (CNNs) for shape optimization applications. The CNN provides a nonlinear mapping b…
Kinematically consistent recurrent neural networks for learning inverse problems in wave propagation
Wrik Mallik, Rajeev K. Jaiman, Jasmin Jelovica
Although machine learning (ML) is increasingly employed recently for mechanistic problems, the black-box nature of conventional ML architectures lacks the physical knowledge to inf…
A high-fidelity numerical study on the propulsive performance of pitching flexible plates
Guojun Li, Gael Kemp, Rajeev Kumar Jaiman +1
In this paper, we numerically investigate the propulsive performance of three-dimensional pitching flexible plates with varying flexibility and trailing edge shapes. To eliminate t…