Design optimization under uncertainty using the multipoint approximation method

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

doi:10.2514/6.2017-1934

Design optimization under uncertainty using the multipoint approximation method

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

4 Citations (SciVal)

Abstract

The Multipoint Approximation Method (MAM), based on metamodels built in trust regioins, is adapted to solve large scale optimization problems with uncertainty. Two sources of uncertainty are considered. The first one is uncertainty associated with the design variables, which is modelled as additive noise. This type of uncertainty can reflect inaccuracies of the manufacturing process, which limit the designers’ ability to control the system ‘as produced’. The second source of uncertainty is additional variables, which the responses depend on, but which cannot be influenced by the designer. Such variables can be referred to as uncontrollable, or environmental, variables and can represent, for example, uncertain operating conditions.

Original language	English
Title of host publication	58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017
Place of Publication	U.S.A.
Publisher	American Institute of Aeronautics and Astronautics Inc.
ISBN (Print)	9781624104534
DOIs	https://doi.org/10.2514/6.2017-1934
Publication status	Published - 13 Jan 2017
Event	58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017 - Grapevine, USA United States Duration: 9 Jan 2017 → 13 Jan 2017

Publication series

Name	58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017

Conference

Conference	58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017
Country/Territory	USA United States
City	Grapevine
Period	9/01/17 → 13/01/17

Bibliographical note

Funding Information:
The authors acknowledge the support of the UK Technology Strategy Board and Rolls-Royce within the project SILOET-II (Strategic Investment in Low-Carbon Engine Technology). Vassili Toropov is grateful for the support provided by the Russian Science Foundation, project No. 16-11-10150.

ASJC Scopus subject areas

Mechanics of Materials
Architecture
Civil and Structural Engineering
Building and Construction

Access to Document

10.2514/6.2017-1934

Cite this

Korolev, Y. M., Toropov, V. V., & Shahpar, S. (2017). Design optimization under uncertainty using the multipoint approximation method. In 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017 (58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017). American Institute of Aeronautics and Astronautics Inc.. https://doi.org/10.2514/6.2017-1934

Design optimization under uncertainty using the multipoint approximation method. / Korolev, Yury M.; Toropov, Vassili V.; Shahpar, Shahrokh.
58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017. U.S.A.: American Institute of Aeronautics and Astronautics Inc., 2017. (58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017).

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

Korolev, YM, Toropov, VV & Shahpar, S 2017, Design optimization under uncertainty using the multipoint approximation method. in 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017, American Institute of Aeronautics and Astronautics Inc., U.S.A., 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017, Grapevine, USA United States, 9/01/17. https://doi.org/10.2514/6.2017-1934

Korolev YM, Toropov VV, Shahpar S. Design optimization under uncertainty using the multipoint approximation method. In 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017. U.S.A.: American Institute of Aeronautics and Astronautics Inc. 2017. (58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017). doi: 10.2514/6.2017-1934

Korolev, Yury M. ; Toropov, Vassili V. ; Shahpar, Shahrokh. / Design optimization under uncertainty using the multipoint approximation method. 58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017. U.S.A. : American Institute of Aeronautics and Astronautics Inc., 2017. (58th AIAA/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, 2017).

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Design optimization under uncertainty using the multipoint approximation method

Abstract

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Bibliographical note

ASJC Scopus subject areas

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