Theses and Dissertations

Issuing Body

Mississippi State University


Thompson, David S.

Committee Member

Soni, Bharat K.

Committee Member

Luke, Edward A.

Committee Member

Pearson, Michael

Date of Degree


Document Type

Graduate Thesis - Open Access


Computational Engineering (Program)

Degree Name

Master of Science


College of Engineering


Computational Engineering Program


Typically, computational fluid dynamic (CFD) solutions produce large amounts of data that can be used for analysis. The enormous amount of data produces new challenges for effective exploration. The prototype system EVITA, based on ranked access of application-specific regions of interest, provides an effective tool for this purpose. Automated feature detection techniques are needed to identify the features in the dataset. Automated techniques for detecting shocks, expansion regions, vortices, separation lines, and attachment lines have already been developed. A new approach for identifying the regions of flow separation is proposed. This technique assumes that each pair of separation and attachment lines has a vortex core associated with it. It is based on the velocity field in the plane perpendicular to the vortex core. The present work describes these methods along with the results obtained.