Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Trends in turbomachinery turbulence treatments
PG Tucker - Progress in Aerospace Sciences, 2013 - Elsevier
General forms of turbulence models are outlined along with their defects and palliatives for
these in relation to turbomachinery. The turbulence modelling hierarchy available in …
these in relation to turbomachinery. The turbulence modelling hierarchy available in …
[HTML][HTML] Evaluation of machine learning algorithms for prediction of regions of high Reynolds averaged Navier Stokes uncertainty
Reynolds Averaged Navier Stokes (RANS) models are widely used in industry to predict
fluid flows, despite their acknowledged deficiencies. Not only do RANS models often …
fluid flows, despite their acknowledged deficiencies. Not only do RANS models often …
A review of studies of mechanism and prediction of tip vortex cavitation inception
The inception of the tip vortex cavitation (TVC) is a very important problem in cavitation
researches. The study of the mechanism of the TVC inception is not only conducive to its …
researches. The study of the mechanism of the TVC inception is not only conducive to its …
[KNIHA][B] Convective heat and mass transfer
SM Ghiaasiaan - 2018 - books.google.com
Convective Heat and Mass Transfer, Second Edition, is ideal for the graduate level study of
convection heat and mass transfer, with coverage of well-established theory and practice as …
convection heat and mass transfer, with coverage of well-established theory and practice as …
Uncertainty estimation module for turbulence model predictions in SU2
With the advent of improved computational resources, aerospace design has shifted from a
testing-based process to a simulation-driven procedure, wherein uncertainties in design and …
testing-based process to a simulation-driven procedure, wherein uncertainties in design and …
Differential equation-based wall distance computation for DES and RANS
PG Tucker - Journal of computational physics, 2003 - Elsevier
Surprisingly expensive to compute wall distances are still used in a range of key turbulence
and peripheral physics models. Potentially economical, accuracy improving differential …
and peripheral physics models. Potentially economical, accuracy improving differential …
Learning neural-network-based turbulence models for external transonic flows using ensemble Kalman method
This paper presents a neural-network-based turbulence modeling approach for transonic
flows based on the ensemble Kalman method. The approach adopts a tensor-basis neural …
flows based on the ensemble Kalman method. The approach adopts a tensor-basis neural …
Unsteady finite volume simulation of Oldroyd-B fluid through a three-dimensional planar contraction
G Mompean, M Deville - Journal of Non-Newtonian Fluid Mechanics, 1997 - Elsevier
The equations for viscoelastic flows of an Oldroyd-B fluid are integrated using the finite
volume technique. The numerical algorithm was developed to treat three-dimensional (3D) …
volume technique. The numerical algorithm was developed to treat three-dimensional (3D) …
Design exploration and optimization under uncertainty
Computational strategies that explicitly quantify uncertainties are becoming increasingly
used in aerospace applications to improve the consistency in reliability, robustness, and …
used in aerospace applications to improve the consistency in reliability, robustness, and …
A parallel, finite-volume algorithm for large-eddy simulation of turbulent flows
TT Bui - Computers & fluids, 2000 - Elsevier
A parallel, finite-volume algorithm has been developed for large-eddy simulation (LES) of
compressible turbulent flows. This algorithm includes piecewise linear least-square …
compressible turbulent flows. This algorithm includes piecewise linear least-square …