Unsteady flow around bluff bodies spanning thin rectangular ducts
File(s)
Author(s)
Harland, David George
Type
Thesis
Abstract
This project consists of a two-pronged computational and experimental approach to the
study of flow in closed, thin rectangular ducts with a partial cubic blockage. Results are
presented at three different bulk Reynolds numbers, ReD = 5600, 10400 and 15600, based
on the channel height, which is also the blockage dimension. The new experimental data
produced consists of fluctuating pressure measurements at the cube surface, with 2D-2C
PIV snapshots captured simultaneously in the wake region. In addition to this, DNS
data is produced at the lowest Reynolds number of ReD = 5600, allowing more detailed
comparisons where PIV laser access was not possible. Comparisons are drawn between
the data and URANS CFD simulations. A literature review and preliminary testing process narrowed down the considered URANS models to the two-layer k−ε model and the Elliptic Blending Reynolds Stress Model, or EBRSM. In the light of the new data,
these two URANS models are compared in order to better understand their strengths and
weaknesses. Particular regard is given to the prediction of large-scale unsteady behaviour,
with a focus on vortex shedding. This unsteady phenomenon was found to be present
and to have a significant effect on the flow in the near-cube and wake regions. Results
show that certain aspects of this behaviour are captured with only limited accuracy by
the URANS models tested. As a result, inaccuracies are also found in the mean simulated
velocity fields. The shortcomings appear more pronounced at higher flow rates. At a
given flow rate, they are more severe in regions of the flow where organised unsteadiness
is large relative to the mean values. It is suggested that inaccuracies in mean URANS
predictions are a result of limitations in model capability for unsteady flows, and that
validation cases may be pertinent to address this.
study of flow in closed, thin rectangular ducts with a partial cubic blockage. Results are
presented at three different bulk Reynolds numbers, ReD = 5600, 10400 and 15600, based
on the channel height, which is also the blockage dimension. The new experimental data
produced consists of fluctuating pressure measurements at the cube surface, with 2D-2C
PIV snapshots captured simultaneously in the wake region. In addition to this, DNS
data is produced at the lowest Reynolds number of ReD = 5600, allowing more detailed
comparisons where PIV laser access was not possible. Comparisons are drawn between
the data and URANS CFD simulations. A literature review and preliminary testing process narrowed down the considered URANS models to the two-layer k−ε model and the Elliptic Blending Reynolds Stress Model, or EBRSM. In the light of the new data,
these two URANS models are compared in order to better understand their strengths and
weaknesses. Particular regard is given to the prediction of large-scale unsteady behaviour,
with a focus on vortex shedding. This unsteady phenomenon was found to be present
and to have a significant effect on the flow in the near-cube and wake regions. Results
show that certain aspects of this behaviour are captured with only limited accuracy by
the URANS models tested. As a result, inaccuracies are also found in the mean simulated
velocity fields. The shortcomings appear more pronounced at higher flow rates. At a
given flow rate, they are more severe in regions of the flow where organised unsteadiness
is large relative to the mean values. It is suggested that inaccuracies in mean URANS
predictions are a result of limitations in model capability for unsteady flows, and that
validation cases may be pertinent to address this.
Version
Open Access
Date Issued
2017-05
Date Awarded
2018-02
Copyright Statement
Attribution NoDerivatives 4.0 International Licence (CC BY-ND)
Advisor
Issa, Raad
Walker, Simon
Hardalupas, Yannis
Taylor, Alex
Sponsor
Rolls-Royce plc.
Publisher Department
Mechanical Engineering
Publisher Institution
Imperial College London
Qualification Level
Doctoral
Qualification Name
Doctor of Philosophy (PhD)