Uncertainty Analysis of Computational Fluid Dynamics Via Polynomial Chaos

The main limitations in performing uncertainty analysis of CFD models using conventional methods are associated with cost and effort. For these reasons, there is a need for the development and implementation of efficient stochastic CFD tools for performing uncertainty analysis. One of the main contributions of this research is the development and implementation of Intrusive and Non-Intrusive methods using polynomial chaos for uncertainty representation and propagation. In addition, a methodology was developed to address and quantify turbulence model uncertainty. In this methodology, a complex perturbation is applied to the incoming turbulence and closure coefficients of a turbulence model to obtain the sensitivity derivatives, which are used in concert with the polynomial chaos method for uncertainty propagation of the turbulence model outputs.

Name thesis:degree_name

Ph. D.

Level thesis:degree_level

doctoral

Discipline thesis:degree_discipline

Aerospace and Ocean Engineering

Department dc:contributor.department

Aerospace and Ocean Engineering

Grantor dc:publisher

Virginia Tech

Year dc:date.issued

2008

Author dc:creator

• Perez, Rafael A.

Chair dc:contributor.committeechair

• Walters, Robert W.

Committee members dc:contributor.committeemember

• Wang, Joseph J.
• Borggaard, Jeffrey T.
• Barnwell, Richard W.
• Cliff, Eugene M.

• error
• uncertainty
• Polynomial chaos
• probabilistic
• stochastic

Statement dc:rights

• In Copyright

Licence dc:rights.uri

• http://rightsstatements.org/vocab/InC/1.0/

Dc Identifier Other

etd-09152008-172324

OAI identifier oai:identifier

oai:vtechworks.lib.vt.edu:10919/28984