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Thesis

Inexpensive uncertainty analysis for CFD applications

Abstract:

The work presented in this thesis aims to provide various tools to be used during design process to make maximum use of the increasing availability of accurate engine blade measurement data for high fidelity fluid mechanic simulations at a reasonable computational expense.

A new method for uncertainty propagation for geometric error has been proposed for fluid mechanics codes using adjoint error correction. Inexpensive Monte Carlo (IMC) method targets small uncertainties and provide...

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Institution:
University of Oxford
Division:
MPLS
Department:
Mathematical Institute
Research group:
Numerical Analysis
Oxford college:
St Hugh's College
Role:
Author

Contributors

Division:
MPLS
Department:
Mathematical Institute
Role:
Supervisor
Publication date:
2014
Type of award:
DPhil
Level of award:
Doctoral
Awarding institution:
University of Oxford

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