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Developing interpretive turbulence models from a database with applications to wind farms and shipboard operations

This thesis presents a complete method of modeling the autospectra of turbulence
in closed form via an expansion series using the von Kármán model as a basis function. It
is capable of modeling turbulence in all three directions of fluid flow: longitudinal,
lateral, and vertical, separately, thus eliminating the assumption of homogeneous,
isotropic flow. A thorough investigation into the expansion series is presented, with the
strengths and weaknesses highlighted. Furthermore, numerical aspects and theoretical
derivations are provided. This method is then tested against three highly complex flow
fields: wake turbulence inside wind farms, helicopter downwash, and helicopter
downwash coupled with turbulence shed from a ship superstructure. These applications
demonstrate that this method is remarkably robust, that the developed autospectral
models are virtually tailored to the design of white noise driven shaping filters, and that these models in closed form facilitate a greater understanding of complex flow fields in
wind engineering. / Includes bibliography. / Thesis (M.S.)--Florida Atlantic University, 2013.

Identiferoai:union.ndltd.org:fau.edu/oai:fau.digital.flvc.org:fau_13104
ContributorsSchau, Kyle A. (author), Gaonkar, Gopal H. (Thesis advisor), College of Engineering and Computer Science (Degree grantor), Department of Ocean and Mechanical Engineering
PublisherFlorida Atlantic University
Source SetsFlorida Atlantic University
LanguageEnglish
Detected LanguageEnglish
TypeElectronic Thesis or Dissertation, Text
Format149 p., Online Resource
RightsAll rights reserved by the source institution, http://rightsstatements.org/vocab/InC/1.0/

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