The Resource Adjoint-based airfoil shape optimization in transonic flow, by Joe-Ray Gramanzini
Adjoint-based airfoil shape optimization in transonic flow, by Joe-Ray Gramanzini
Resource Information
The item Adjoint-based airfoil shape optimization in transonic flow, by Joe-Ray Gramanzini represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.This item is available to borrow from all library branches.
Resource Information
The item Adjoint-based airfoil shape optimization in transonic flow, by Joe-Ray Gramanzini represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Missouri-St. Louis Libraries.
This item is available to borrow from all library branches.
- Summary
- "The primary focus of this work is efficient aerodynamic shape optimization in transonic flow. Adjoint-based optimization techniques are employed on airfoil sections and evaluated in terms of computational accuracy as well as efficiency. This study examines two test cases proposed by the AIAA Aerodynamic Design Optimization Discussion Group. The first is a two-dimensional, transonic, inviscid, non-lifting optimization of a Modified-NACA 0012 airfoil. The second is a two-dimensional, transonic, viscous optimization problem using a RAE 2822 airfoil. The FUN3D CFD code of NASA Langley Research Center is used as the ow solver for the gradient-based optimization cases. Two shape parameterization techniques are employed to study their effect and the number of design variables on the final optimized shape: Multidisciplinary Aerodynamic-Structural Shape Optimization Using Deformation (MASSOUD) and the BandAids free-form deformation technique. For the two airfoil cases, angle of attack is treated as a global design variable. The thickness and camber distributions are the local design variables for MASSOUD, and selected airfoil surface grid points are the local design variables for BandAids. Using the MASSOUD technique, a drag reduction of 72.14% is achieved for the NACA 0012 case, reducing the total number of drag counts from 473.91 to 130.59. Employing the BandAids technique yields a 78.67% drag reduction, from 473.91 to 99.98. The RAE 2822 case exhibited a drag reduction from 217.79 to 132.79 counts, a 39.05% decrease using BandAids."--Abstract, page iii
- Language
- eng
- Extent
- 1 online resource (xi, 63 pages)
- Note
- Vita
- Label
- Adjoint-based airfoil shape optimization in transonic flow
- Title
- Adjoint-based airfoil shape optimization in transonic flow
- Statement of responsibility
- by Joe-Ray Gramanzini
- Language
- eng
- Summary
- "The primary focus of this work is efficient aerodynamic shape optimization in transonic flow. Adjoint-based optimization techniques are employed on airfoil sections and evaluated in terms of computational accuracy as well as efficiency. This study examines two test cases proposed by the AIAA Aerodynamic Design Optimization Discussion Group. The first is a two-dimensional, transonic, inviscid, non-lifting optimization of a Modified-NACA 0012 airfoil. The second is a two-dimensional, transonic, viscous optimization problem using a RAE 2822 airfoil. The FUN3D CFD code of NASA Langley Research Center is used as the ow solver for the gradient-based optimization cases. Two shape parameterization techniques are employed to study their effect and the number of design variables on the final optimized shape: Multidisciplinary Aerodynamic-Structural Shape Optimization Using Deformation (MASSOUD) and the BandAids free-form deformation technique. For the two airfoil cases, angle of attack is treated as a global design variable. The thickness and camber distributions are the local design variables for MASSOUD, and selected airfoil surface grid points are the local design variables for BandAids. Using the MASSOUD technique, a drag reduction of 72.14% is achieved for the NACA 0012 case, reducing the total number of drag counts from 473.91 to 130.59. Employing the BandAids technique yields a 78.67% drag reduction, from 473.91 to 99.98. The RAE 2822 case exhibited a drag reduction from 217.79 to 132.79 counts, a 39.05% decrease using BandAids."--Abstract, page iii
- Cataloging source
- UMR
- http://library.link/vocab/creatorDate
- 1985-
- http://library.link/vocab/creatorName
- Gramanzini, Joe-Ray
- Degree
- M.S.
- Dissertation year
- 2015.
- Granting institution
- Missouri University of Science and Technology
- Illustrations
- illustrations
- Index
- no index present
- Literary form
- non fiction
- Nature of contents
-
- dictionaries
- bibliography
- theses
- http://library.link/vocab/subjectName
-
- Aerofoils
- Aerodynamics, Transonic
- Drag (Aerodynamics)
- Camber (Aerofoils)
- Label
- Adjoint-based airfoil shape optimization in transonic flow, by Joe-Ray Gramanzini
- Note
- Vita
- Bibliography note
- Includes bibliographic references (pages 60-62)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier.
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent.
- Control code
- 921185760
- Extent
- 1 online resource (xi, 63 pages)
- Form of item
- online
- Governing access note
- These materials are protected under copyright by the original author
- Media category
- computer
- Media MARC source
- rdamedia.
- Media type code
-
- c
- Other physical details
- illustrations (some colored).
- Specific material designation
- remote
- System control number
- (OCoLC)921185760
- Label
- Adjoint-based airfoil shape optimization in transonic flow, by Joe-Ray Gramanzini
- Note
- Vita
- Bibliography note
- Includes bibliographic references (pages 60-62)
- Carrier category
- online resource
- Carrier category code
-
- cr
- Carrier MARC source
- rdacarrier.
- Content category
- text
- Content type code
-
- txt
- Content type MARC source
- rdacontent.
- Control code
- 921185760
- Extent
- 1 online resource (xi, 63 pages)
- Form of item
- online
- Governing access note
- These materials are protected under copyright by the original author
- Media category
- computer
- Media MARC source
- rdamedia.
- Media type code
-
- c
- Other physical details
- illustrations (some colored).
- Specific material designation
- remote
- System control number
- (OCoLC)921185760
Library Locations
-
St. Louis Mercantile LibraryBorrow it1 University Blvd, St. Louis, MO, 63121, US38.710138 -90.311107
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University ArchivesBorrow it703 Lewis Hall, Columbia, MO, 65211, US
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University of Missouri-St. Louis Libraries DepositoryBorrow it2908 Lemone Blvd, Columbia, MO, 65201, US38.919360 -92.291620
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University of Missouri-St. Louis Libraries DepositoryBorrow it2908 Lemone Blvd, Columbia, MO, 65201, US38.919360 -92.291620
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Ward E Barnes Education LibraryBorrow it8001 Natural Bridge Rd, St. Louis, MO, 63121, US38.707079 -90.311355
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<div class="citation" vocab="http://schema.org/"><i class="fa fa-external-link-square fa-fw"></i> Data from <span resource="http://link.umsl.edu/portal/Adjoint-based-airfoil-shape-optimization-in/08tGcSr5s90/" typeof="Book http://bibfra.me/vocab/lite/Item"><span property="name http://bibfra.me/vocab/lite/label"><a href="http://link.umsl.edu/portal/Adjoint-based-airfoil-shape-optimization-in/08tGcSr5s90/">Adjoint-based airfoil shape optimization in transonic flow, by Joe-Ray Gramanzini</a></span> - <span property="potentialAction" typeOf="OrganizeAction"><span property="agent" typeof="LibrarySystem http://library.link/vocab/LibrarySystem" resource="http://link.umsl.edu/"><span property="name http://bibfra.me/vocab/lite/label"><a property="url" href="http://link.umsl.edu/">University of Missouri-St. Louis Libraries</a></span></span></span></span></div>
