The research on optimizing formation of elliptic cylinders by combining particle swarm method and large eddy simulation

J. C. Chang, Yu-Hsien Lin

Research output: Contribution to journalArticle

Abstract

This research aims to adopt the single objective particle swarm optimization (PSO) and multi-objective PSO (MOPSO) to optimize the formation of elliptic cylinders in the three-dimensional flow. In addition, Large Eddy Simulation (LES) model is included to calculate turbulence flow. The simulation of optimization is originally based on the two-dimensional flow, and then extended to three-dimensional flow. The difference of elliptic cylinders in the flows of high and low Reynolds numbers is also discussed. In order to search the feasible solution, PSO and MOPSO are suggested for adjustment and for reducing computing resources. The difference of results between the PSO and MOPSO would be discussed. The framework of program is written in Microsoft Visual Studio 2008 C#, including PSO algorithm, changing the positons of elliptic cylinders, importing the files to ANSYS FLUENT and returning the data of forces back to PSO for correcting the next calculation.

Original languageEnglish
Pages (from-to)155-163
Number of pages9
JournalJournal of Taiwan Society of Naval Architects and Marine Engineers
Volume34
Issue number3
Publication statusPublished - 2015 Aug 1

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Large eddy simulation
Particle swarm optimization (PSO)
Studios
Reynolds number
Turbulence

All Science Journal Classification (ASJC) codes

  • Ocean Engineering
  • Mechanical Engineering

Cite this

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abstract = "This research aims to adopt the single objective particle swarm optimization (PSO) and multi-objective PSO (MOPSO) to optimize the formation of elliptic cylinders in the three-dimensional flow. In addition, Large Eddy Simulation (LES) model is included to calculate turbulence flow. The simulation of optimization is originally based on the two-dimensional flow, and then extended to three-dimensional flow. The difference of elliptic cylinders in the flows of high and low Reynolds numbers is also discussed. In order to search the feasible solution, PSO and MOPSO are suggested for adjustment and for reducing computing resources. The difference of results between the PSO and MOPSO would be discussed. The framework of program is written in Microsoft Visual Studio 2008 C#, including PSO algorithm, changing the positons of elliptic cylinders, importing the files to ANSYS FLUENT and returning the data of forces back to PSO for correcting the next calculation.",
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