Adjoint-based RCS surface sensitivity calculation for very large electrical size object
The primary concern in stealth aircraft design is the very large electrical size objects. However, the computational and storage requirements of these objects present significant obstacles for current high-fidelity design methods, particularly when addressing high-dimensional complex engineering des...
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| Format: | Article |
| Language: | English |
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KeAi Communications Co., Ltd.
2025-05-01
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| Series: | Defence Technology |
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| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214914724002733 |
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| author | Jun Deng Zhenghong Gao Lin Zhou Ke Zhao Jiangtao Huang Wei Zhang |
| author_facet | Jun Deng Zhenghong Gao Lin Zhou Ke Zhao Jiangtao Huang Wei Zhang |
| author_sort | Jun Deng |
| collection | DOAJ |
| description | The primary concern in stealth aircraft design is the very large electrical size objects. However, the computational and storage requirements of these objects present significant obstacles for current high-fidelity design methods, particularly when addressing high-dimensional complex engineering design problems. To address these challenges, we developed a surface sensitivity technique based on the multilevel fast multipole algorithm (MLFMA). An access and storage of sparse partial derivative tensor was improved to significantly enhanced the computation performance. The far-field interactions of the surface sensitivity equation were realized by differential the multipole expansion. In addition, we proposed a fast far-field multiplication method to accelerate the multiplication process. The surface mesh derivative with respect to the design variables was calculated by analytical and complex variable methods, substantially improving computational efficiency. These advancements enabled the MLFMA-based surface sensitivity method to millions meshes and large-scale gradients, extending gradient-based optimization for very large electrical size problems. Test cases have verified the effectiveness of this method in optimizing very large electrical objects in terms of both accuracy and efficiency. |
| format | Article |
| id | doaj-art-81fdf83508444a6e9fe8a390ff4b202f |
| institution | OA Journals |
| issn | 2214-9147 |
| language | English |
| publishDate | 2025-05-01 |
| publisher | KeAi Communications Co., Ltd. |
| record_format | Article |
| series | Defence Technology |
| spelling | doaj-art-81fdf83508444a6e9fe8a390ff4b202f2025-08-20T01:51:13ZengKeAi Communications Co., Ltd.Defence Technology2214-91472025-05-014716417910.1016/j.dt.2024.11.009Adjoint-based RCS surface sensitivity calculation for very large electrical size objectJun Deng0Zhenghong Gao1Lin Zhou2Ke Zhao3Jiangtao Huang4Wei Zhang5Northwestern Polytechnical University, Xi'an 710072, China; National Key Laboratory of Aircraft Configuration Design, Xi'an 710072, ChinaNorthwestern Polytechnical University, Xi'an 710072, China; National Key Laboratory of Aircraft Configuration Design, Xi'an 710072, ChinaChina Aerodynamic Research and Development Center, Mianyang 621000, ChinaNorthwestern Polytechnical University, Xi'an 710072, China; National Key Laboratory of Aircraft Configuration Design, Xi'an 710072, China; Corresponding author.China Aerodynamic Research and Development Center, Mianyang 621000, ChinaChina Aerodynamic Research and Development Center, Mianyang 621000, ChinaThe primary concern in stealth aircraft design is the very large electrical size objects. However, the computational and storage requirements of these objects present significant obstacles for current high-fidelity design methods, particularly when addressing high-dimensional complex engineering design problems. To address these challenges, we developed a surface sensitivity technique based on the multilevel fast multipole algorithm (MLFMA). An access and storage of sparse partial derivative tensor was improved to significantly enhanced the computation performance. The far-field interactions of the surface sensitivity equation were realized by differential the multipole expansion. In addition, we proposed a fast far-field multiplication method to accelerate the multiplication process. The surface mesh derivative with respect to the design variables was calculated by analytical and complex variable methods, substantially improving computational efficiency. These advancements enabled the MLFMA-based surface sensitivity method to millions meshes and large-scale gradients, extending gradient-based optimization for very large electrical size problems. Test cases have verified the effectiveness of this method in optimizing very large electrical objects in terms of both accuracy and efficiency.http://www.sciencedirect.com/science/article/pii/S2214914724002733Surface sensitivityGradientMLFMADiscrete adjointVery large electrical sizeRCS |
| spellingShingle | Jun Deng Zhenghong Gao Lin Zhou Ke Zhao Jiangtao Huang Wei Zhang Adjoint-based RCS surface sensitivity calculation for very large electrical size object Defence Technology Surface sensitivity Gradient MLFMA Discrete adjoint Very large electrical size RCS |
| title | Adjoint-based RCS surface sensitivity calculation for very large electrical size object |
| title_full | Adjoint-based RCS surface sensitivity calculation for very large electrical size object |
| title_fullStr | Adjoint-based RCS surface sensitivity calculation for very large electrical size object |
| title_full_unstemmed | Adjoint-based RCS surface sensitivity calculation for very large electrical size object |
| title_short | Adjoint-based RCS surface sensitivity calculation for very large electrical size object |
| title_sort | adjoint based rcs surface sensitivity calculation for very large electrical size object |
| topic | Surface sensitivity Gradient MLFMA Discrete adjoint Very large electrical size RCS |
| url | http://www.sciencedirect.com/science/article/pii/S2214914724002733 |
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