21 citations · 35 across the 8 of their papers we have counts for
8 papers
SCoReT: Super-Resolution Compression and Reconstruction of Turbulent Flows
Royyuru Sai Prasanna Gangadhar, Shishir Srivastava, Nagabhushana Rao Vadlamani +1
High-fidelity simulations of the Navier--Stokes equations (NSE) generate massive amounts of data, motivating the need for efficient compression and reconstruction strategies for tu…
Acoustic Loading Beneath High-Speed Flow Over a Compression Ramp at Different Angles
Ritu Raj Kumar, Nagabhushana Rao Vadlamani, Amareshwara Sainadh Chamarthi
Large-eddy simulations are performed to characterize the pressure fluctuations beneath a hypersonic boundary layer approaching a compression corner. The simulations are carried out…
On the governing mechanism of unsteadiness in bow shock-induced three-dimensional separation
S. Vayala, K. Ramachandra, K. Abhishek +2
We investigate the driving mechanism of low-frequency unsteadiness in bow shock-turbulent boundary layer interactions due to protuberances. Wind tunnel experiments are conducted at…
Accuracy and scalability of asynchronous compressible flow solver for transitional flows
Aswin Kumar Arumugam, Shubham Kumar Goswami, Nagabhushana Rao Vadlamani +1
To overcome the communication bottlenecks observed in state-of-the-art parallel time-dependent flow solvers at extreme scales, an asynchronous computing approach that relaxes commu…
Artificial Neural Networks and Guided Gene Expression Programming to Predict Wall Pressure Spectra Beneath Turbulent Boundary Layers
Nachiketa Narayan Kurhade, Nagabhushana Rao Vadlamani, Akash Haridas
This study evaluates the efficacy of two machine learning (ML) techniques, namely artificial neural networks (ANN) and gene expression programming (GEP) that use data-driven modeli…
Deep Neural Networks to Correct Sub-Precision Errors in CFD
Akash Haridas, Nagabhushana Rao Vadlamani, Yuki Minamoto
Information loss in numerical physics simulations can arise from various sources when solving discretized partial differential equations. In particular, errors related to numerical…
Artificial Compressibility Approaches in Flux Reconstruction for Incompressible Viscous Flow Simulations
Will Trojak, Nagabhushana Rao Vadlamani, James Tyacke +2
Several competing artificial compressibility methods for the incompressible flow equations are examined using the high-order flux reconstruction method. The established artificial…
On the use of high order central difference schemes for differential equation based wall distance computations
Hemanth Chandra Vamsi Kakumani, Nagabhushana Rao Vadlamani, Paul Gary Tucker
A computationally efficient high-order solver is developed to compute the wall distances by solving the relevant partial differential equations, namely: Eikonal, Hamilton-Jacobi (H…