A5027131620- Combustion and flame dynamics
- Advanced Combustion Engine Technologies
- Wind and Air Flow Studies
- Fire dynamics and safety research
- Aerodynamics and Acoustics in Jet Flows
- Combustion and Detonation Processes
- Simulation Techniques and Applications
- Radiative Heat Transfer Studies
- Energetic Materials and Combustion
- Computational Fluid Dynamics and Aerodynamics
- Rocket and propulsion systems research
- Fluid Dynamics and Turbulent Flows
- Risk and Safety Analysis
- Target Tracking and Data Fusion in Sensor Networks
- Political Influence and Corporate Strategies
- Opinion Dynamics and Social Influence
- Advanced Vision and Imaging
- Heat transfer and supercritical fluids
- Particle Dynamics in Fluid Flows
- Laser-induced spectroscopy and plasma
- Advanced Image Processing Techniques
- Meteorological Phenomena and Simulations
- Time Series Analysis and Forecasting
- Fluid Dynamics and Heat Transfer
- Media Influence and Politics
Stanford University
2021-2025
The University of Melbourne
2019-2022
The paper applies a wavelet filtering method based on the recursive denoising algorithm to airfoil noise in low-Mach number flows. pressure field around is decomposed into coherent contributions corresponding denoised and incoherent background noise. data are obtained from Large-Eddy Simulations. Both flow acoustic solvers validated against experimental at zero angle of attack, Reynolds numbers, Re=3.2×105 4×105, Mach M=0.093 0.058, respectively. convergence trend statistical nature...
A normal-score ensemble Kalman filter (NS-EnKF) formulation was developed and implemented to evaluate performance in assimilating observations into non-linearly evolving, non-Gaussian distributed systems. The NS-EnKF benchmarked against the stochastic (EnKF) without localization on Lorenz-96 system. Each run for 100 trials with 10, 25, members. Compared EnKF, assimilation of 10 25 members generated predictions which were more stable had lower state prediction errors. When used, EnKF error...
Abstract
Ducted fuel injection (DFI) is a proposed concept for achieving substantial reductions in emissions. In this concept, the injected through coannular duct, resulting increased fuel-air mixing and minimized formation of soot other unwanted combustion products. Apart from comprehensive experimental investigations on DFI, so far computational studies have been limited to single-point Reynolds-averaged Navier Stokes simulations. Therefore, objective work complement these by performing large-eddy...
Spectral proper orthogonal decomposition (SPOD) is applied to direct numerical simulation datasets of a lean and stoichiometric methane–air turbulent premixed jet flame. SPOD used extract the coherent structures that correlate with radiated sound by using an inner product based on linearized disturbance energy. Two types are prominent in data. The first type arises jet's shear layer linked Kelvin–Helmholtz instability, which important mechanism generation nonreacting jets. These produce...
Analysis of compressible turbulent flows is essential for applications related to propulsion, energy generation, and the environment. Here, we present BLASTNet 2.0, a 2.2 TB network-of-datasets containing 744 full-domain samples from 34 high-fidelity direct numerical simulations, which addresses current limited availability 3D reacting non-reacting flow simulation data. With this data, benchmark total 49 variations five deep learning approaches super-resolution - can be applied improving...
Combustion noise from a realistic gas-turbine combustor geometry is investigated parametrically using hybrid simulation framework that combines large-eddy and linearized Euler formulation. The effect of operating conditions on the relative noise-source contributions arising direct indirect examined by considering take-off cruise conditions. To quantify predictions combustion flow field, comparisons with available experimental data for velocity spray droplet diameter are performed. Analysis...