Home Journals Articles Updates About
CN
image
收藏切换
Data driven multi-fidelity approximate modeling optimization of stiffened conical shell for large launch vehicle
收藏切换
PDF
Chaolei CHEN1, Zhixiang WANG2, Yongjun LEI2, 3, Jie WANG4
Journal of Mechanical Strength | 2025, 47(4) : 148 - 157
Less
收藏切换
Journal of Mechanical Strength | 2025, 47(4): 148-157
• ∙Optimization∙Reliability∙ •
Data driven multi-fidelity approximate modeling optimization of stiffened conical shell for large launch vehicle
Full
Chaolei CHEN1, Zhixiang WANG2, Yongjun LEI2, 3, Jie WANG4
Affiliations
  • 1.Unit 63768 of the People’s Liberation Army of China, Xi’an 710600, China
  • 2.College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China
  • 3.Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions, Changsha 410073, China
  • 4.Beijing Institute of Aerospace Systems Engineering, Beijing 100076, China
Published: 2025-04-15 doi: 10.16579/j.issn.1001.9669.2025.04.018
Outline
收藏切换

In order to improve the load-bearing efficiency of the stiffened conical shell in large launch vehicle, the lightweight design of the stiffened conical shell was carried out via a data-driven multi-fidelity approximate modeling optimization method. Aiming at the problems such as low efficiency and insufficient accuracy of the single fidelity approximate modeling optimization method, a data-driven multi-fidelity approximate modeling optimization framework was built based on variable-fidelity expected improvement (VF-EI) point criterion，and accordingly the optimization design of stiffened conical shell structure was carried out. Based on the finite element models of stiffened conical shells with different mesh sizes, a Co-Kriging multi-fidelity approximate model for the collapse load of stiffened conical shells was established. In the optimization iteration, multi-fidelity sampling points were generated by using VF-EI point criterion, and the global and local approximation accuracy of Co-Kriging multi-fidelity approximation model was improved sequently. Moreover, the optimization efficiency and accuracy of the proposed method were demonstrated by comparing with radial basis function approximation model and Kriging model. Besides, 11. 5% weight reduction of the optimized stiffened conical shell structure is obtained compared with the initial design, which has certain engineering application value.

Stiffened conical shell  /  Multi-fidelity approximate modeling  /  Sequence approximate optimization method  /  Lightweight design  /  VF-EI point criterion
Chaolei CHEN, Zhixiang WANG, Yongjun LEI, Jie WANG. Data driven multi-fidelity approximate modeling optimization of stiffened conical shell for large launch vehicle[J]. Journal of Mechanical Strength, 2025 , 47 (4) : 148 -157 . DOI: 10.16579/j.issn.1001.9669.2025.04.018
Funding
Less
  • Natural Science Foundation of Hunan(2020JJ5650)
Appendix
Less
Year 2025 volume 47 Issue 4
PDF
61
31
Cite this Article
BibTeX
Article Info
doi: 10.16579/j.issn.1001.9669.2025.04.018
  • Receive Date：2023-08-13
  • Online Date：2026-03-20
  • Published：2025-04-15
Article Data
Affiliations
History
  • Received：2023-08-13
  • Revised：2023-09-01
Funding
Natural Science Foundation of Hunan(2020JJ5650)
Affiliations
    1.Unit 63768 of the People’s Liberation Army of China, Xi’an 710600, China
    2.College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China
    3.Hunan Key Laboratory of Intelligent Planning and Simulation for Aerospace Missions, Changsha 410073, China
    4.Beijing Institute of Aerospace Systems Engineering, Beijing 100076, China

Corresponding:

WANG Zhixiang, E-mail：
References
Share
https://castjournals.cast.org.cn/joweb/jxqd/EN/10.16579/j.issn.1001.9669.2025.04.018
Share to
QR

Scan QR to access full text

Cite this article
BibTeX
Citations
表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
关闭全屏
  • BibTeX
  • EndNote
  • RefWorks
  • TxT
Links
Articles
Latest Articles
Most Read
Collections
Updates
Events
News
Multimedia
About
About Us
Contact
No. 86 Xueyuan South Road, Haidian District, Beijing
100081
010-62199257
qkjq@cast.org.cn

Copyright © 2025 China Association for Science and Technology. All rights reserved. For all open access content, the relevant licensing terms apply.
Sponsored by the Office of the Leading Group for Cybersecurity and Informatization of CAST, and supported by Science and Technology Review Publishing House