Multi-fidelity uncertainty quantification of high Reynolds number turbulent flow around a rectangular 5:1 cylinder
File(s)18586.pdf (545.66 KB)
Published version
Author(s)
Type
Conference Paper
Abstract
This work shows the application of Multi-fidelity Uncertainty Quantification to Wind
Engineering problems. As test case a rectangular shape is used, with a fillet radius, in order
to represent the geometrical variations that can affect buildings or other bluff bodies. The
rectangular cylinder used has a chord-to-thickness ratio 5:1. This rectangular shape is an
important basic shape for wind engineering tasks, e.g. in case of buildings or other bluff bodies
exposed to the flow. Moreover it is well investigated and documented.
Coarse and fine meshes are used as low and high fidelity models respectively. To perform
CFD simulations, the stabilized finite element methods are used in both the high and low fidelity
model with a CFD code developed by TUM and the International Center for Numerical Methods
in Engineering. The underlying UQ framework is based on a Sparse Arbitrary Moment Based
Algorithm (SAMBA) developed at ICL. In the formulation the number of simulations is reduced
using a Smolyak sparsity model.
The multi-fidelity extension, with application to wind engineering problems is discussed and
presented in this work. The overall goal of such formulation is to gain an accuracy of mixed lowhigh fidelity simulations comparable to the ones obtained with only high fidelity simulations, at
a fraction of the computational cost.
Engineering problems. As test case a rectangular shape is used, with a fillet radius, in order
to represent the geometrical variations that can affect buildings or other bluff bodies. The
rectangular cylinder used has a chord-to-thickness ratio 5:1. This rectangular shape is an
important basic shape for wind engineering tasks, e.g. in case of buildings or other bluff bodies
exposed to the flow. Moreover it is well investigated and documented.
Coarse and fine meshes are used as low and high fidelity models respectively. To perform
CFD simulations, the stabilized finite element methods are used in both the high and low fidelity
model with a CFD code developed by TUM and the International Center for Numerical Methods
in Engineering. The underlying UQ framework is based on a Sparse Arbitrary Moment Based
Algorithm (SAMBA) developed at ICL. In the formulation the number of simulations is reduced
using a Smolyak sparsity model.
The multi-fidelity extension, with application to wind engineering problems is discussed and
presented in this work. The overall goal of such formulation is to gain an accuracy of mixed lowhigh fidelity simulations comparable to the ones obtained with only high fidelity simulations, at
a fraction of the computational cost.
Date Issued
2022-01-01
Date Acceptance
2019-06-24
Citation
Wind and Structures: an international journal, 2022, 34 (1), pp.127-136
ISSN
1226-6116
Publisher
Techno Press
Start Page
127
End Page
136
Journal / Book Title
Wind and Structures: an international journal
Volume
34
Issue
1
Copyright Statement
© 2019 The Authors. Published by Eccomas Proceedia
Identifier
http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000753594700011&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=1ba7043ffcc86c417c072aa74d649202
Source
3rd International Conference on Uncertainty Quantification in Computational Sciences and Engineering
Subjects
Science & Technology
Technology
Construction & Building Technology
Engineering, Civil
Mechanics
Engineering
bluff-body aerodynamics
multi-fidelity methods
polynomial chaos expansions
uncertainty quantification
POLYNOMIAL CHAOS
SENSITIVITY-ANALYSIS
AERODYNAMICS
SIMULATION
Publication Status
Published
Start Date
2019-06-24
Coverage Spatial
Crete, Greece