scholarly journals Assessment of turbulence model performance: Severe acceleration with large integral length scales

2016 ◽  
Vol 126 ◽  
pp. 181-191
Author(s):  
Xiaoyu Yang ◽  
Paul G. Tucker
AIAA Journal ◽  
2001 ◽  
Vol 39 (12) ◽  
pp. 2402-2404 ◽  
Author(s):  
S. L. Woodruff ◽  
J. M. Seiner ◽  
M. Y. Hussaini ◽  
G. Erlebacher

Author(s):  
Normayati Nordin ◽  
Zainal Ambri Abdul Karim ◽  
Safiah Othman ◽  
Vijay R. Raghavan ◽  
Sharifah Adzila ◽  
...  

Author(s):  
Ernesto Casartelli ◽  
Luca Mangani ◽  
Armando Del Rio ◽  
Angelika Schmid

Abstract Pump-turbines cope very well with modern electricity-market demand, having high operational flexibility and storage capabilities. Nevertheless, dynamic operation of these machines can lead to very challenging transient conditions, depending on the shape of the characteristic. Mechanical integrity can be correspondingly affected. Therefore assessment of the characteristic during the design phase, i.e. before model testing, is of crucial importance. In the past years different attempts to accurately compute the characteristic under steady (i.e. fix point) and transient conditions have been undertaken using RANS CFD. While the SST turbulence model has become the reference for machine design, it often fails for conditions close to or around instabilities. Its strength to accurately predict separation close to sound conditions (i.e. mild part- and over-load) is no more helpful. Under unstable conditions, which are characterized by continuous unsteady vortex formation, turbulence isotropy as assumed by linear two equation models is no more the right choice. Accordingly a turbulence model able to capture anisotropy, EARSM (Explicit Algebraic Reynolds Stress Model), has been implemented in an in-house code and used for the computation of the characteristic of various machines, stable and unstable, in order to assess the model performance. In this paper computations of three different machines in turbine mode are presented. Results using steady boundary conditions (BC) in the unstable region as well as transient BC like load-rejection and runaway are computed with EARSM, showing its superiority compared to linear two equation models.


AIAA Journal ◽  
2001 ◽  
Vol 39 ◽  
pp. 2402-2404
Author(s):  
S. L. Woodruff ◽  
M. Y. Hussaini ◽  
G. Erlebacher ◽  
J. M. Seiner

1998 ◽  
Author(s):  
S. Woodruff ◽  
J. Seiner ◽  
M. Hussaini ◽  
G. Erlebacher

2003 ◽  
Vol 70 (1) ◽  
pp. 2-9 ◽  
Author(s):  
J. E. Akin ◽  
T. Tezduyar ◽  
M. Ungor ◽  
S. Mittal

For the streamline-upwind/Petrov-Galerkin and pressure-stabilizing/Petrov-Galerkin formulations for flow problems, we present in this paper a comparative study of the stabilization parameters defined in different ways. The stabilization parameters are closely related to the local length scales (“element length”), and our comparisons include parameters defined based on the element-level matrices and vectors, some earlier definitions of element lengths, and extensions of these to higher-order elements. We also compare the numerical viscosities generated by these stabilized formulations with the eddy viscosity associated with a Smagorinsky turbulence model that is based on element length scales.


2020 ◽  
Vol 10 (22) ◽  
pp. 8140
Author(s):  
Michael McDermott ◽  
Pedro Resende ◽  
Thibaut Charpentier ◽  
Mark Wilson ◽  
Alexandre Afonso ◽  
...  

A viscoelastic turbulence model in a fully-developed drag reducing channel flow is improved, with turbulent eddies modelled under a k–ε representation, along with polymeric solutions described by the finitely extensible nonlinear elastic-Peterlin (FENE-P) constitutive model. The model performance is evaluated against a wide variety of direct numerical simulation data, described by different combinations of rheological parameters, which is able to predict all drag reduction (low, intermediate and high) regimes with good accuracy. Three main contributions are proposed: one with a simplified viscoelastic closure for the NLTij term (which accounts for the interactions between the fluctuating components of the conformation tensor and the velocity gradient tensor), by removing additional damping functions and reducing complexity compared with previous models; second through a reformulation for the closure of the viscoelastic destruction term, Eτp, which removes all friction velocity dependence; lastly by an improved modified damping function capable of predicting the reduction in the eddy viscosity and thus accurately capturing the turbulent kinetic energy throughout the channel. The main advantage is the capacity to predict all flow fields for low, intermediate and high friction Reynolds numbers, up to high drag reduction without friction velocity dependence.


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