Level-set topology optimization with aeroelastic constraints

Peter D. Dunning; Bret K. Stanford; H. Alicia Kim

Level-set topology optimization with aeroelastic constraints

Peter D. Dunning, Bret K. Stanford, H. Alicia Kim

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

13 Citations (SciVal)

Abstract

Level-set topology optimization is used to design a wing considering skin buckling under static aeroelastic trim loading, as well as dynamic aeroelastic stability (flutter). The level-set function is defined over the entire 3D volume of a transport aircraft wing box. Therefore, the approach is not limited by any predefined structure and can explore novel configurations. The Sequential Linear Programming (SLP) level-set method is used to solve the constrained optimization problems. The proposed method is demonstrated using three problems with mass, linear buckling and flutter objective and/or constraints. A constraint aggregation method is used to handle multiple buckling constraints in the wing skins. A continuous flutter constraint formulation is used to handle difficulties arising from discontinuities in the design space caused by a switching of the critical flutter mode.

Original language	English
Title of host publication	56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference
Publisher	American Institute of Aeronautics and Astronautics Inc.
ISBN (Print)	9781624103421
Publication status	Published - 2015
Event	56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2015 - Kissimmee, USA United States Duration: 5 Jan 2015 → 9 Jan 2015

Conference

Conference	56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2015
Country/Territory	USA United States
City	Kissimmee
Period	5/01/15 → 9/01/15

Cite this

Level-set topology optimization with aeroelastic constraints. / Dunning, Peter D.; Stanford, Bret K.; Kim, H. Alicia.
56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics Inc., 2015.

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

Dunning, PD, Stanford, BK & Kim, HA 2015, Level-set topology optimization with aeroelastic constraints. in 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference. American Institute of Aeronautics and Astronautics Inc., 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2015, Kissimmee, USA United States, 5/01/15.

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title = "Level-set topology optimization with aeroelastic constraints",

abstract = "Level-set topology optimization is used to design a wing considering skin buckling under static aeroelastic trim loading, as well as dynamic aeroelastic stability (flutter). The level-set function is defined over the entire 3D volume of a transport aircraft wing box. Therefore, the approach is not limited by any predefined structure and can explore novel configurations. The Sequential Linear Programming (SLP) level-set method is used to solve the constrained optimization problems. The proposed method is demonstrated using three problems with mass, linear buckling and flutter objective and/or constraints. A constraint aggregation method is used to handle multiple buckling constraints in the wing skins. A continuous flutter constraint formulation is used to handle difficulties arising from discontinuities in the design space caused by a switching of the critical flutter mode.",

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AU - Dunning, Peter D.

AU - Stanford, Bret K.

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N2 - Level-set topology optimization is used to design a wing considering skin buckling under static aeroelastic trim loading, as well as dynamic aeroelastic stability (flutter). The level-set function is defined over the entire 3D volume of a transport aircraft wing box. Therefore, the approach is not limited by any predefined structure and can explore novel configurations. The Sequential Linear Programming (SLP) level-set method is used to solve the constrained optimization problems. The proposed method is demonstrated using three problems with mass, linear buckling and flutter objective and/or constraints. A constraint aggregation method is used to handle multiple buckling constraints in the wing skins. A continuous flutter constraint formulation is used to handle difficulties arising from discontinuities in the design space caused by a switching of the critical flutter mode.

AB - Level-set topology optimization is used to design a wing considering skin buckling under static aeroelastic trim loading, as well as dynamic aeroelastic stability (flutter). The level-set function is defined over the entire 3D volume of a transport aircraft wing box. Therefore, the approach is not limited by any predefined structure and can explore novel configurations. The Sequential Linear Programming (SLP) level-set method is used to solve the constrained optimization problems. The proposed method is demonstrated using three problems with mass, linear buckling and flutter objective and/or constraints. A constraint aggregation method is used to handle multiple buckling constraints in the wing skins. A continuous flutter constraint formulation is used to handle difficulties arising from discontinuities in the design space caused by a switching of the critical flutter mode.

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M3 - Chapter in a published conference proceeding

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BT - 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference

PB - American Institute of Aeronautics and Astronautics Inc.

T2 - 56th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference 2015

Y2 - 5 January 2015 through 9 January 2015

ER -

Level-set topology optimization with aeroelastic constraints

Abstract

Conference

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Fellowship - Materials by Design for Impact in Aerospace Engineering

High Performance Computing (HPC) Facility

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Level-set topology optimization with aeroelastic constraints

Abstract

Conference

Other files and links

Fingerprint

Projects

Fellowship - Materials by Design for Impact in Aerospace Engineering

Equipment

High Performance Computing (HPC) Facility

Cite this