Mathematical formulation for the analysis of the periodic convergence during co-processing routines in long-run, scale-resolving simulations of turbomachinery
by Jesús Manuel Fernández-Oro
Progress in Computational Fluid Dynamics, An International Journal (PCFD), Vol. 21, No. 3, 2021

Abstract: Scale-resolving simulations, like LES modelling, are recent CFD techniques to analyse numerically unsteady flows and turbulence in turbomachinery. Despite their high computational costs, they provide an unsteady, time-resolved solution of the flow with embedded turbulent scales that requires an additional statistical description. This paper provides the mathematical formulation required to compute and assure its periodic convergence, updating the phase-averaged values and the residual on the run, so the amount of data to be stored is extremely reduced. The formulation, applied over a numerical database of a wall-modelled LES simulation of the rotor-stator interaction in a low-speed axial fan using a 3D linear cascade model, reveals that primary flow variables converge faster than turbulent structures due to inherent instabilities of the coherent flow vortices. This work forms part of the concept of co-processing, where some post-processing routines are resolved during the iterative process of CFD simulations to save computational costs.

Online publication date: Wed, 19-May-2021

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the Progress in Computational Fluid Dynamics, An International Journal (PCFD):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com