Zobrazeno 1 - 10
of 190
pro vyhledávání: '"Emerson, David R."'
The impact of spanwise flexibility on the propulsion performance of two foils arranged in tandem and subjected to a prescribed sinusoidal heaving motion has been studied at a Reynolds number of 100. This comprises a wide range of natural frequencies
Externí odkaz:
http://arxiv.org/abs/2311.05255
Autor:
Ross, Aimee J., Chappell, James, van de Wetering, Johannes J., Cowley, James, Archer, Emily, Bourgeois, Nicolas, Corner, Laura, Emerson, David R., Feder, Linus, Gu, Xiao J., Jakobsson, Oscar, Jones, Harry, Picksley, Alexander, Reid, Linus, Wang, Wei-Ting, Walczak, Roman, Hooker, Simon M.
Publikováno v:
Physical Review Research vol. 6, L022001 (2024)
We demonstrate resonant excitation of a plasma wave by a train of short laser pulses guided in a pre-formed plasma channel, for parameters relevant to a plasma-modulated plasma accelerator (P-MoPA). We show experimentally that a train of $N \approx 1
Externí odkaz:
http://arxiv.org/abs/2310.05097
In this note, we show how reconstruction schemes can have a significant impact on interpreting lattice Boltzmann simulation data. To reconstruct turbulence quantities, e.g., the kinetic energy dissipation rate and enstrophy, schemes higher than secon
Externí odkaz:
http://arxiv.org/abs/2302.13910
Autor:
Emerson, David R.
Indiana University-Purdue University Indianapolis (IUPUI)
Depth estimation is increasingly becoming more important in computer vision. The requirement for autonomous systems to gauge their surroundings is of the utmost importance in order to avo
Depth estimation is increasingly becoming more important in computer vision. The requirement for autonomous systems to gauge their surroundings is of the utmost importance in order to avo
Externí odkaz:
https://hdl.handle.net/1805/19900
Publikováno v:
In Nuclear Engineering and Design February 2024 417
Publikováno v:
Int. J. Heat Fluid Flow 90 (2021) 108822
Machine-learning (ML) techniques provide a new and encouraging perspective for constructing turbulence models for Reynolds-averaged Navier--Stokes (RANS) simulations. In this study, an iterative ML-RANS computational framework is proposed that combin
Externí odkaz:
http://arxiv.org/abs/1910.01232
Autor:
Skillen, Alex, Zimoń, Małgorzata J., Sawko, Robert, Tunstall, Ryan, Moulinec, Charles, Emerson, David R.
We study numerically the propagation of a hot thermal transient through a U-bend via an ensemble of wall-resolved large eddy simulations. Conjugate heat transfer between fluid and solid domains is accounted for. The flow is in a fully turbulent mixed
Externí odkaz:
http://arxiv.org/abs/1909.01652
Direct numerical simulation of thermal stratification of supercritical water in a horizontal channel
Publikováno v:
In Computers and Fluids 15 July 2023 261
Publikováno v:
In Computers and Fluids 30 April 2023 256
In this work, we show that the widely used bounce-back boundary condition is an incomplete form of the diffuse reflection boundary condition at the continuum limit for lattice Boltzmann simulations. By utilizing this fact, we can force the diffuse re
Externí odkaz:
http://arxiv.org/abs/1803.00390