Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment

Yury M. Korolev; Vassili V. Toropov; Shahrokh Shahpar

doi:10.2514/6.2015-3234

Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment

Yury M. Korolev, Vassili V. Toropov, Shahrokh Shahpar

Department of Mathematical Sciences

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

11 Citations (SciVal)

Abstract

An adaptation of the Multipoint Approximation Method (MAM) to a high-performance computing (HPC) environment is presented and demonstrated by high-fidelity CFD-based design optimization of a highly-loaded transonic rotor, significantly improving its efficiency in a much reduced design time. MAM is incorporated into the Rolls-Royce SOPHY design system, used in this study, that includes the free-form deformation (FFD) parametrization of the blade shape, automatic meshing, CFD analysis, and post-processing.

Original language	English
Title of host publication	16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference
Place of Publication	U. S. A.
Publisher	American Institute of Aeronautics and Astronautics Inc.
ISBN (Print)	9781624103681
DOIs	https://doi.org/10.2514/6.2015-3234
Publication status	Published - 22 Jun 2015
Event	16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2015 - Dallas, USA United States Duration: 22 Jun 2015 → 26 Jun 2015

Publication series

Name	16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference

Conference

Conference	16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2015
Country/Territory	USA United States
City	Dallas
Period	22/06/15 → 26/06/15

Bibliographical note

Publisher Copyright:
© 2015, American Institute of Aeronautics and Astronautics Inc, AIAA. All rigths reserved.

ASJC Scopus subject areas

Aerospace Engineering
Mechanical Engineering

Access to Document

10.2514/6.2015-3234

Cite this

Korolev, Y. M., Toropov, V. V., & Shahpar, S. (2015). Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment. In 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference (16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference). American Institute of Aeronautics and Astronautics Inc.. https://doi.org/10.2514/6.2015-3234

Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment. / Korolev, Yury M.; Toropov, Vassili V.; Shahpar, Shahrokh.
16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. U. S. A.: American Institute of Aeronautics and Astronautics Inc., 2015. (16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference).

Research output: Chapter or section in a book/report/conference proceeding › Chapter in a published conference proceeding

Korolev, YM, Toropov, VV & Shahpar, S 2015, Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment. in 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, American Institute of Aeronautics and Astronautics Inc., U. S. A., 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference, 2015, Dallas, USA United States, 22/06/15. https://doi.org/10.2514/6.2015-3234

Korolev YM, Toropov VV, Shahpar S. Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment. In 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. U. S. A.: American Institute of Aeronautics and Astronautics Inc. 2015. (16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference). doi: 10.2514/6.2015-3234

Korolev, Yury M. ; Toropov, Vassili V. ; Shahpar, Shahrokh. / Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment. 16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference. U. S. A. : American Institute of Aeronautics and Astronautics Inc., 2015. (16th AIAA/ISSMO Multidisciplinary Analysis and Optimization Conference).

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abstract = "An adaptation of the Multipoint Approximation Method (MAM) to a high-performance computing (HPC) environment is presented and demonstrated by high-fidelity CFD-based design optimization of a highly-loaded transonic rotor, significantly improving its efficiency in a much reduced design time. MAM is incorporated into the Rolls-Royce SOPHY design system, used in this study, that includes the free-form deformation (FFD) parametrization of the blade shape, automatic meshing, CFD analysis, and post-processing.",

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AB - An adaptation of the Multipoint Approximation Method (MAM) to a high-performance computing (HPC) environment is presented and demonstrated by high-fidelity CFD-based design optimization of a highly-loaded transonic rotor, significantly improving its efficiency in a much reduced design time. MAM is incorporated into the Rolls-Royce SOPHY design system, used in this study, that includes the free-form deformation (FFD) parametrization of the blade shape, automatic meshing, CFD analysis, and post-processing.

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M3 - Chapter in a published conference proceeding

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ER -

Large-scale CFD optimization based on the FFD parametrization using the multipoint approximation method in an HPC environment

Abstract

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ASJC Scopus subject areas

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