Imperial College London
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Prof Francesco Montomoli

Faculty of Engineering, Department of Aeronautics

Professor in Computational Aerodynamics
 
 
 
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Contact

 

+44 (0)20 7594 5151f.montomoli Website

 
 
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Location

 

215City and Guilds BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@inproceedings{Sakuma:2019:10.7712/120219.6350.18586,
author = {Sakuma, M and Pepper, N and Kodakkal, A and Wuchner, R and Bletzinger, KU and Montomoli, F},
doi = {10.7712/120219.6350.18586},
pages = {420--431},
title = {Multi-fidelity uncertainty quantification of the flow around a rectangular 5:1 cylinder},
url = {http://dx.doi.org/10.7712/120219.6350.18586},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - CPAPER
AB  - 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.
AU  - Sakuma,M
AU  - Pepper,N
AU  - Kodakkal,A
AU  - Wuchner,R
AU  - Bletzinger,KU
AU  - Montomoli,F
DO  - 10.7712/120219.6350.18586
EP  - 431
PY  - 2019///
SP  - 420
TI  - Multi-fidelity uncertainty quantification of the flow around a rectangular 5:1 cylinder
UR  - http://dx.doi.org/10.7712/120219.6350.18586
ER  -
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