Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate Optimization
Hypersonic vehicle has gained increasing attention due to its high cruise speed and long voyage. In this paper, an enhanced Sequential Approximate Optimization method is proposed for aerodynamic optimization of a hypersonic vehicle. In this method, a constrained design of experiment method is adopte...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Wiley
2021-01-01
|
| Series: | International Journal of Aerospace Engineering |
| Online Access: | http://dx.doi.org/10.1155/2021/8889593 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832547015981006848 |
|---|---|
| author | Wenjie Wang Zeping Wu Donghui Wang Jiawei Yang Pengyu Wang Weihua Zhang |
| author_facet | Wenjie Wang Zeping Wu Donghui Wang Jiawei Yang Pengyu Wang Weihua Zhang |
| author_sort | Wenjie Wang |
| collection | DOAJ |
| description | Hypersonic vehicle has gained increasing attention due to its high cruise speed and long voyage. In this paper, an enhanced Sequential Approximate Optimization method is proposed for aerodynamic optimization of a hypersonic vehicle. In this method, a constrained design of experiment method is adopted to generate the initial sampling set with adequate number of feasible points. A field metamodel is proposed to surrogate the aerodynamic parameters distributions in the flow field obtained by the aerodynamic simulation. A hybrid metamodel combing radial basis functions and polynomial chaos expansion is applied to construct the field metamodel with good approximate performance. A robust mesh morphing scheme based on radial basis functions is developed to generate high-quality meshes for the sequential optimization scheme. The hypersonic vehicle aerodynamic optimization problem is performed using the proposed optimization framework and satisfactory results are obtained with limited computational budgets. Results show that the proposed field metamodel-enhanced Sequential Approximate Optimization method possesses powerful optimization performance and promising prospects in the field of hypersonic vehicle optimization design. |
| format | Article |
| id | doaj-art-706007e014e149188791e83582674b89 |
| institution | Kabale University |
| issn | 1687-5966 1687-5974 |
| language | English |
| publishDate | 2021-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | International Journal of Aerospace Engineering |
| spelling | doaj-art-706007e014e149188791e83582674b892025-02-03T06:46:22ZengWileyInternational Journal of Aerospace Engineering1687-59661687-59742021-01-01202110.1155/2021/88895938889593Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate OptimizationWenjie Wang0Zeping Wu1Donghui Wang2Jiawei Yang3Pengyu Wang4Weihua Zhang5College of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaCollege of Aerospace Science and Engineering, National University of Defense Technology, Changsha, Hunan 410073, ChinaHypersonic vehicle has gained increasing attention due to its high cruise speed and long voyage. In this paper, an enhanced Sequential Approximate Optimization method is proposed for aerodynamic optimization of a hypersonic vehicle. In this method, a constrained design of experiment method is adopted to generate the initial sampling set with adequate number of feasible points. A field metamodel is proposed to surrogate the aerodynamic parameters distributions in the flow field obtained by the aerodynamic simulation. A hybrid metamodel combing radial basis functions and polynomial chaos expansion is applied to construct the field metamodel with good approximate performance. A robust mesh morphing scheme based on radial basis functions is developed to generate high-quality meshes for the sequential optimization scheme. The hypersonic vehicle aerodynamic optimization problem is performed using the proposed optimization framework and satisfactory results are obtained with limited computational budgets. Results show that the proposed field metamodel-enhanced Sequential Approximate Optimization method possesses powerful optimization performance and promising prospects in the field of hypersonic vehicle optimization design.http://dx.doi.org/10.1155/2021/8889593 |
| spellingShingle | Wenjie Wang Zeping Wu Donghui Wang Jiawei Yang Pengyu Wang Weihua Zhang Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate Optimization International Journal of Aerospace Engineering |
| title | Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate Optimization |
| title_full | Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate Optimization |
| title_fullStr | Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate Optimization |
| title_full_unstemmed | Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate Optimization |
| title_short | Hypersonic Vehicle Aerodynamic Optimization Using Field Metamodel-Enhanced Sequential Approximate Optimization |
| title_sort | hypersonic vehicle aerodynamic optimization using field metamodel enhanced sequential approximate optimization |
| url | http://dx.doi.org/10.1155/2021/8889593 |
| work_keys_str_mv | AT wenjiewang hypersonicvehicleaerodynamicoptimizationusingfieldmetamodelenhancedsequentialapproximateoptimization AT zepingwu hypersonicvehicleaerodynamicoptimizationusingfieldmetamodelenhancedsequentialapproximateoptimization AT donghuiwang hypersonicvehicleaerodynamicoptimizationusingfieldmetamodelenhancedsequentialapproximateoptimization AT jiaweiyang hypersonicvehicleaerodynamicoptimizationusingfieldmetamodelenhancedsequentialapproximateoptimization AT pengyuwang hypersonicvehicleaerodynamicoptimizationusingfieldmetamodelenhancedsequentialapproximateoptimization AT weihuazhang hypersonicvehicleaerodynamicoptimizationusingfieldmetamodelenhancedsequentialapproximateoptimization |