Application of a Multi-objective Genetic Algorithm in a Stabilisation Strategy for Flexible Panels in a Mean Flow
The stability-control of a fluid-loaded flexible panel has been studied to determine the effectiveness of adding localized stiffening to control or postpone instability. In our previous work for the 2-D system a stabilisation strategy has been demonstrated by localised stiffening with a spring suppo...
| Main Authors: | , , |
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| Format: | Book Chapter |
| Published: |
Springer
2016
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| Online Access: | http://hdl.handle.net/20.500.11937/4526 |
| _version_ | 1848744540928737280 |
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| author | Tan, Ben Hoea Lucey, Anthony Howell, Richard |
| author_facet | Tan, Ben Hoea Lucey, Anthony Howell, Richard |
| author_sort | Tan, Ben Hoea |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | The stability-control of a fluid-loaded flexible panel has been studied to determine the effectiveness of adding localized stiffening to control or postpone instability. In our previous work for the 2-D system a stabilisation strategy has been demonstrated by localised stiffening with a spring support. Similarly for the 3-D system, the effectiveness of the stabilisation method has also been shown by adding a transverse or streamwise stiffening strip. The most important goal for such stabilisation methods, for both 2-D and 3-D systems, is to refine the localised stiffening strategy to achieve the best use of multiple springs and stiffeners. In this paper we build upon our previous 2-D and 3-D work to develop and apply multi-objective genetic algorithm tools that are able to optimise the stabilisation strategy of added localised stiffness for different design problems: full solution spaces are presented for these problems from which optimal points are readily located. |
| first_indexed | 2025-11-14T06:03:06Z |
| format | Book Chapter |
| id | curtin-20.500.11937-4526 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T06:03:06Z |
| publishDate | 2016 |
| publisher | Springer |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-45262017-09-13T14:44:36Z Application of a Multi-objective Genetic Algorithm in a Stabilisation Strategy for Flexible Panels in a Mean Flow Tan, Ben Hoea Lucey, Anthony Howell, Richard The stability-control of a fluid-loaded flexible panel has been studied to determine the effectiveness of adding localized stiffening to control or postpone instability. In our previous work for the 2-D system a stabilisation strategy has been demonstrated by localised stiffening with a spring support. Similarly for the 3-D system, the effectiveness of the stabilisation method has also been shown by adding a transverse or streamwise stiffening strip. The most important goal for such stabilisation methods, for both 2-D and 3-D systems, is to refine the localised stiffening strategy to achieve the best use of multiple springs and stiffeners. In this paper we build upon our previous 2-D and 3-D work to develop and apply multi-objective genetic algorithm tools that are able to optimise the stabilisation strategy of added localised stiffness for different design problems: full solution spaces are presented for these problems from which optimal points are readily located. 2016 Book Chapter http://hdl.handle.net/20.500.11937/4526 10.1007/978-3-662-48868-3_55 Springer restricted |
| spellingShingle | Tan, Ben Hoea Lucey, Anthony Howell, Richard Application of a Multi-objective Genetic Algorithm in a Stabilisation Strategy for Flexible Panels in a Mean Flow |
| title | Application of a Multi-objective Genetic Algorithm in a Stabilisation Strategy for Flexible Panels in a Mean Flow |
| title_full | Application of a Multi-objective Genetic Algorithm in a Stabilisation Strategy for Flexible Panels in a Mean Flow |
| title_fullStr | Application of a Multi-objective Genetic Algorithm in a Stabilisation Strategy for Flexible Panels in a Mean Flow |
| title_full_unstemmed | Application of a Multi-objective Genetic Algorithm in a Stabilisation Strategy for Flexible Panels in a Mean Flow |
| title_short | Application of a Multi-objective Genetic Algorithm in a Stabilisation Strategy for Flexible Panels in a Mean Flow |
| title_sort | application of a multi-objective genetic algorithm in a stabilisation strategy for flexible panels in a mean flow |
| url | http://hdl.handle.net/20.500.11937/4526 |