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dc.contributor.advisor Meade, Andrew J., Jr.
dc.creatorWood, Jeffre
dc.date.accessioned 2014-10-14T16:16:09Z
dc.date.available 2014-10-14T16:16:09Z
dc.date.created 2014-05
dc.date.issued 2014-04-23
dc.date.submitted May 2014
dc.identifier.citation Wood, Jeffre. "A Penalty Method Approach to Experimental Data Coupling in the Sequentially Optimized Meshfree Approximation." (2014) Master’s Thesis, Rice University. https://hdl.handle.net/1911/77570.
dc.identifier.urihttps://hdl.handle.net/1911/77570
dc.description.abstract This thesis presents an overview of recent changes that have been made to the Sequentially Optimized Meshfree Approximation (SOMA) and provides a proof of concept for a penalty method algorithm for coupling experimental data with a computational fluid dynamics (CFD) solver. The penalty method provides a means to apply experimental data to improve SOMA's convergence rate and time to convergence. Using the driven cavity problem as validation, approximations produced using this adaptation are shown. The results successfully reproduces the flow from which the data was taken creating a means of using limited experimental data to generate a complete picture of a simulation domain. Flexibility in data type, location, and quantity are demonstrated as well as the effects of experimental error on the results and a means of negating it.
dc.format.mimetype application/pdf
dc.language.iso eng
dc.subjectMeshfree
CFD
Data coupling
Data assimilation
Penalty method
dc.title A Penalty Method Approach to Experimental Data Coupling in the Sequentially Optimized Meshfree Approximation
dc.contributor.committeeMember Akin, John Edward.
dc.contributor.committeeMember Tezduyar, Tayfun E.
dc.date.updated 2014-10-14T16:16:10Z
dc.type.genre Thesis
dc.type.material Text
thesis.degree.department Mechanical Engineering and Materials Science
thesis.degree.discipline Engineering
thesis.degree.grantor Rice University
thesis.degree.level Masters
thesis.degree.name Master of Science


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