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An Irregularly Portioned FDF Solver for Turbulent Flow Simulation

Pisciuneri, Patrick H. (2013) An Irregularly Portioned FDF Solver for Turbulent Flow Simulation. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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A new computational methodology is developed for large eddy simulation (LES) with the filtered density function (FDF) formulation of turbulent reacting flows. This methodology is termed the "irregularly portioned Lagrangian Monte Carlo finite difference" (IPLMCFD). It takes advantage of modern parallel platforms and mitigates the computational cost of LES/FDF significantly. The embedded algorithm addresses the load balancing issue by decomposing the computational domain into a series of irregularly shaped and sized subdomains. The resulting algorithm scales to thousands of processors with an excellent efficiency. Thus it is well suited for LES of reacting flows in large computational domains and under complex chemical kinetics. The efficiency of the IPLMCFD; and the realizability, consistency and the predictive capability of FDF are demonstrated by LES of several turbulent flames.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
Pisciuneri, Patrick H.php8@pitt.eduPHP8
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairGivi, Peymanpgivi@pitt.eduPGIVI
Committee MemberSlaughter, William S. wss@pitt.eduWSS
Committee MemberTo, Albert C.albertto@pitt.eduALBERTTO
Committee MemberAubry,
Date: 25 September 2013
Date Type: Publication
Defense Date: 16 July 2013
Approval Date: 25 September 2013
Submission Date: 9 July 2013
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Number of Pages: 63
Institution: University of Pittsburgh
Schools and Programs: Swanson School of Engineering > Mechanical Engineering
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: large eddy simulation, turbulent reacting flows, filtered density function, high performance computing
Date Deposited: 25 Sep 2013 15:43
Last Modified: 15 Nov 2016 14:14


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