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Development of Methods to Improve th...

Fischels, Matthew Vincent.

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Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation./
Author:	Fischels, Matthew Vincent.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2018,
Description:	241 p.
Notes:	Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
Contained By:	Dissertation Abstracts International79-10B(E).
Subject:	Aerospace engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10624648
ISBN:	9780438071940

Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation.
Fischels, Matthew Vincent.

Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation. - Ann Arbor : ProQuest Dissertations & Theses, 2018 - 241 p.

Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.

Thesis (Ph.D.)--Iowa State University, 2018.

The runtime of unsteady incompressible flows were reduced through different techniques in the formulation and solution of the governing equations. The implicit Runge-Kutta based IRK-SIMPLER algorithm was developed and compared to the Crank-Nicholson based SIMPLER and the explicit RK-SIMPLER algorithms. The IRK-SIMPLER algorithm was tested for steady and unsteady problems, both on structured Cartesian and unstructured vertex-centered median-dual grids, and proved to be an accurate and robust algorithm that also required less runtime. Further, a second order unstructured Flux Corrected Method improved the accuracy of flux calculation with minimal/negligible increase in runtime. The Flux Corrected Method provided a small stencil scheme that required little additional runtime compared to the commonly used Power Law scheme. Wind turbine cases were simulated with momentum source modeling. Both steady rotor models and three variations of the unsteady momentum source model were tested. The power predicted by the simulations matched experiments well, and for the cases presented, the simulations required 447 times less runtime than traditional methods.

ISBN: 9780438071940Subjects--Topical Terms:

1002622
Aerospace engineering.

Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation.
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245 1 0 $a Development of Methods to Improve the Accuracy and Efficiency of Unsteady Incompressible Flow Simulation.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2018
300 $a 241 p.
500 $a Source: Dissertation Abstracts International, Volume: 79-10(E), Section: B.
500 $a Adviser: R. G. Rajagopalan.
502 $a Thesis (Ph.D.)--Iowa State University, 2018.
520 $a The runtime of unsteady incompressible flows were reduced through different techniques in the formulation and solution of the governing equations. The implicit Runge-Kutta based IRK-SIMPLER algorithm was developed and compared to the Crank-Nicholson based SIMPLER and the explicit RK-SIMPLER algorithms. The IRK-SIMPLER algorithm was tested for steady and unsteady problems, both on structured Cartesian and unstructured vertex-centered median-dual grids, and proved to be an accurate and robust algorithm that also required less runtime. Further, a second order unstructured Flux Corrected Method improved the accuracy of flux calculation with minimal/negligible increase in runtime. The Flux Corrected Method provided a small stencil scheme that required little additional runtime compared to the commonly used Power Law scheme. Wind turbine cases were simulated with momentum source modeling. Both steady rotor models and three variations of the unsteady momentum source model were tested. The power predicted by the simulations matched experiments well, and for the cases presented, the simulations required 447 times less runtime than traditional methods.
590 $a School code: 0097.
650 4 $a Aerospace engineering. $3 1002622
650 4 $a Computational physics. $3 3343998
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773 0 $t Dissertation Abstracts International $g 79-10B(E).
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856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10624648