EI、Scopus 收录
中文核心期刊
Quick Search Issue Search Advanced Search
Volume 57 Issue 3
Feb.  2025
Turn off MathJax
Article Contents
Abstract
References
Related Articles
Qiao Nanxuan, Ma Tielin, Xue Pu, Long Hongrui, Fu Jingcheng. Waverider fairing optimization incorporating multi-source model time cost. Chinese Journal of Theoretical and Applied Mechanics, 2025, 57(3): 578-592. DOI: 10.6052/0459-1879-24-580
Citation: Qiao Nanxuan, Ma Tielin, Xue Pu, Long Hongrui, Fu Jingcheng. Waverider fairing optimization incorporating multi-source model time cost. Chinese Journal of Theoretical and Applied Mechanics, 2025, 57(3): 578-592. DOI: 10.6052/0459-1879-24-580
shu

WAVERIDER FAIRING OPTIMIZATION INCORPORATING MULTI-SOURCE MODEL TIME COST

  • *.

    School of Aeronautic Science and Engineering, Beihang University, Beijing 100191, China

  • †.

    Shenyuan Honors College, Beihang University, Beijing 100191, China

  • **.

    Institute of Unmanned System, Beihang University, Beijing 100191, China

  • ††.

    Beijing Institute of Space Long March Vehicle, Beijing 100071, China

  • Received Date: December 18, 2024
  • Accepted Date: February 12, 2025
  • Available Online: February 12, 2025
  • Published Date: February 13, 2025
    Graphical Abstract
    • Abstract
  • To address the common challenges of high computational resource consumption and uncontrolled convergence time in optimization problems, this paper proposes a multi-fidelity surrogate model optimization method that considers the time cost of computational models. By incorporating the time cost into the optimization sampling process and dynamically adjusting model fidelity, the method ensures convergence to a better solution within a predetermined time frame. This approach meets the practical engineering requirement of obtaining an optimal design within limited time constraints. The effectiveness of the proposed method is validated through various numerical test cases. Taking the enhancement of the wide-speed-range flight performance of a waverider as a practical example, this study applies the proposed optimization approach to the wide-speed-range optimization of the waverider aft-body fairing through parameterization. The results indicate an improvement in the aerodynamic performance of the waverider at off-design conditions. Analysis of the lift and drag variations of the waverider aft-body reveals that the optimized fairing generates both lift enhancement and drag reduction effects at small angles of attack. As the angle of attack increases, the drag reduction effect decreases, while the lift enhancement remains relatively stable, demonstrating good compatibility with the waverider’s inherent lift characteristics. From an overall aerodynamic performance perspective, both the original and optimized fairings improve the waverider’s aerodynamic performance at supersonic (Ma = 2, 4) and hypersonic (Ma = 6, 8) speeds, with the optimized fairing exhibiting more significant improvements. Within the small angle-of-attack range, the overall lift-to-drag ratio increases by 5% ~ 25%. These findings confirm the effectiveness of aft-body fairing optimization in enhancing the wide-speed-range aerodynamic performance of the waverider and demonstrate the engineering applicability of the proposed optimization method.
    • FullText(HTML)
    • References (37)
  • [1]
    Queipo NV, Haftka RT, Shyy W, et al. Surrogate-based analysis and optimization. Progress in Aerospace Sciences, 2005, 41(1): 1-28 doi: 10.1016/j.paerosci.2005.02.001
    [2]
    Jones DR, Schonlau M, Welch WJ. Efficient global optimization of expensive black-box functions. Journal of Global Optimization, 1998, 13: 455-492
    [3]
    刘文, 郭帅旗, 刘洋等. 乘波体设计与优化研究进展——从高超声速至宽速域. 力学学报, 2024, 56(6): 1655-1677 (Liu Wen, Guo Shuaiqi , Liu Yang, et al. Advances in design and optimization of waverider—From hypersonic to wide-speed range. Chinese Journal of Theoretical and Applied Mechanics, 2024, 56(6): 1655-1677 (in Chinese)

    Liu Wen, Guo Shuaiqi , Liu Yang, et al. Advances in design and optimization of waverider—From hypersonic to wide-speed range. Chinese Journal of Theoretical and Applied Mechanics, 2024, 56(6): 1655-1677 (in Chinese)
    [4]
    谢赞, 周灿灿, 赵振涛等. 宽速域飞行器发展及研究现状综述. 空天技术, 2022, 4: 28-39, 86 (Xie Zan, Zhou Cancan, Zhao Zhentao, et al. Overview of development and research status of wide speed range aircraft. Aerospace Technology, 2022, 4: 28-39, 86 (in Chinese)

    Xie Zan, Zhou Cancan, Zhao Zhentao, et al. Overview of development and research status of wide speed range aircraft. Aerospace Technology, 2022, 4: 28-39, 86 (in Chinese)
    [5]
    Zhao Z, Huang W, Yan L, et al. An overview of research on wide-speed range waverider configuration. Progress in Aerospace Sciences, 2020, 113: 100606 doi: 10.1016/j.paerosci.2020.100606
    [6]
    Sziroczak D, Smith H. A review of design issues specific to hypersonic flight vehicles. Progress in Aerospace Sciences, 2016, 84: 1-28 doi: 10.1016/j.paerosci.2016.04.001
    [7]
    阎超. 航空CFD四十年的成就与困境. 航空学报, 2022, 43(10): 526490 (Yan Chao. Achievements and predicaments of CFD in aeronautics in past forty years. Acta Aeronautica et Astronautica Sinica, 2022, 43(10): 526490 (in Chinese)

    Yan Chao. Achievements and predicaments of CFD in aeronautics in past forty years. Acta Aeronautica et Astronautica Sinica, 2022, 43(10): 526490 (in Chinese)
    [8]
    Stuckman BE. A global search method for optimizing nonlinear systems. IEEE Transactions on Systems, Man, and Cybernetics, 1988, 18(6): 965-977 doi: 10.1109/21.23094
    [9]
    Kushner HJ. A new method of locating the maximum point of an arbitrary multipeak curve in the presence of noise. Journal of Basic Engineering, 1964, 86(1): 97-106
    [10]
    Sóbester A, Leary SJ, Keane AJ. On the design of optimization strategies based on global response surface approximation models. Journal of Global Optimization, 2005, 33(1): 31-59 doi: 10.1007/s10898-004-6733-1
    [11]
    Matthias SWJW, Jones DR. Global versus local search in constrained optimization of computer models. Lecture Notes-Monograph Series, 1998, 34: 11-25
    [12]
    宋召运, 刘波, 程昊等. 大弯角串列叶型形状及相对位置的耦合优化设计. 航空动力学报, 2018, 33(8): 1941-1953 (Song Zhaoyun, Liu Bo, Cheng Hao, et al. Coupling optimization design for large-turning tandem blade shape and relative position. Journal of Aerospace Power, 2018, 33(8): 1941-1953 (in Chinese)

    Song Zhaoyun, Liu Bo, Cheng Hao, et al. Coupling optimization design for large-turning tandem blade shape and relative position. Journal of Aerospace Power, 2018, 33(8): 1941-1953 (in Chinese)
    [13]
    陈树生, 冯聪, 张兆康等. 基于全局/梯度优化方法的宽速域乘波-机翼布局气动设计. 航空学报, 2024, 45(6): 629596 (Chen Shusheng, Feng Cong, Zhang Zhaokang, et al. Aerodynamic design of wide-speed-range waverider-wing configuration based on global & gradient optimization method. Acta Aeronautica et Astronautica Sinica, 2024, 45(6): 629596 (in Chinese)

    Chen Shusheng, Feng Cong, Zhang Zhaokang, et al. Aerodynamic design of wide-speed-range waverider-wing configuration based on global & gradient optimization method. Acta Aeronautica et Astronautica Sinica, 2024, 45(6): 629596 (in Chinese)
    [14]
    王超, 高正红, 张伟等. 自适应设计空间扩展的高效代理模型气动优化设计方法. 航空学报, 2018, 39(7): 40-58 (Wang Chao, Gao Zhenghong, Zhang Wei, et al. Efficient surrogate-based aerodynamic design optimization method with adaptive design space expansion. Acta Aeronautica et Astronautica Sinica, 2018, 39(7): 40-58 (in Chinese)

    Wang Chao, Gao Zhenghong, Zhang Wei, et al. Efficient surrogate-based aerodynamic design optimization method with adaptive design space expansion. Acta Aeronautica et Astronautica Sinica, 2018, 39(7): 40-58 (in Chinese)
    [15]
    刘睿, 白俊强, 邱亚松. 基于非支配排序的并行加点方法研究及应用. 北京航空航天大学学报, 2023, 49(6): 1446-1459 (Liu Rui, Bai Junqiang, Qiu Yasong. Research and application of parallel infill sampling method based on non-dominated sorting. Journal of Beijing University of Aeronautics and Astronautics, 2023, 49(6): 1446-1459 (in Chinese)

    Liu Rui, Bai Junqiang, Qiu Yasong. Research and application of parallel infill sampling method based on non-dominated sorting. Journal of Beijing University of Aeronautics and Astronautics, 2023, 49(6): 1446-1459 (in Chinese)
    [16]
    Liu J, Song WP, Han ZH, et al. Efficient aerodynamic shape optimization of transonic wings using a parallel infilling strategy and surrogate models. Structural and Multidisciplinary Optimization, 2017, 55(3): 925-943 doi: 10.1007/s00158-016-1546-7
    [17]
    Fernandez-Godino MG. Review of multi-fidelity models. Advances in Computational Science and Engineering, 2023, 1(4): 351-400 doi: 10.3934/acse.2023015
    [18]
    Cheng M, Jiang P, Hu J, et al. A multi-fidelity surrogate modeling method based on variance-weighted sum for the fusion of multiple non-hierarchical low-fidelity data. Structural and Multidisciplinary Optimization, 2021, 64(6): 3797-3818 doi: 10.1007/s00158-021-03055-2
    [19]
    Zhang L, Wu Y, Jiang P, et al. A multi-fidelity surrogate modeling approach for incorporating multiple non-hierarchical low-fidelity data. Advanced Engineering Informatics, 2022, 51: 101430 doi: 10.1016/j.aei.2021.101430
    [20]
    Zhang Y, Kim NH, Park C, et al. Multifidelity surrogate based on single linear regression. AIAA Journal, 2018, 56(12): 4944-4952 doi: 10.2514/1.J057299
    [21]
    吕利叶, 鲁玉军, 王硕等. 代理模型技术及其应用:现状与展望. 机械工程学报, 2024, 60(3): 254-281 (Lyu Liye, Lu Yujun, Wang shuo, et al. Survey and prospect of surrogate model technique and application. Journal of Mechanical Engineering, 2024, 60(3): 254-281 (in Chinese)

    Lyu Liye, Lu Yujun, Wang shuo, et al. Survey and prospect of surrogate model technique and application. Journal of Mechanical Engineering, 2024, 60(3): 254-281 (in Chinese)
    [22]
    Zhou Q, Wang Y, Choi S, et al. A sequential multi-fidelity metamodeling approach for data regression. Knowledge-Based Systems, 2017, 134: 199-212 doi: 10.1016/j.knosys.2017.07.033
    [23]
    Cai X, Qiu H, Gao L, et al. Metamodeling for high dimensional design problems by multi-fidelity simulations. Structural and Multidisciplinary Optimization, 2017, 56(1): 151-166 doi: 10.1007/s00158-017-1655-y
    [24]
    Han Z, Görtz S, Zimmermann R. Improving variable-fidelity surrogate modeling via gradient-enhanced kriging and a generalized hybrid bridge function. Aerospace Science and Technology, 2013, 25(1): 177-189 doi: 10.1016/j.ast.2012.01.006
    [25]
    Han Z, Görtz S. Hierarchical Kriging model for variable-fidelity surrogate modeling. AIAA Journal, 2012, 50(9): 1885-1896 doi: 10.2514/1.J051354
    [26]
    Thenon A, Gervais V, Le Ravalec M. Multi-fidelity meta-modeling for reservoir engineering; application to history matching. Computational geosciences, 2016, 20(6): 1231-1250 doi: 10.1007/s10596-016-9587-y
    [27]
    Huang L, Gao Z, Zhang D. Research on multi-fidelity aerodynamic optimization methods. Chinese Journal of Aeronautics, 2013, 26(2): 279-286 doi: 10.1016/j.cja.2013.02.004
    [28]
    韩忠华. Kriging模型及代理优化算法研究进展. 航空学报, 2016, 37(11): 3197-3225 (Han Zhonghua. Kriging surrogate model and its application to design optimization: A review of recent progress. Acta Aeronautica et Astronautica Sinica, 2016, 37(11): 3197-3225 (in Chinese)

    Han Zhonghua. Kriging surrogate model and its application to design optimization: A review of recent progress. Acta Aeronautica et Astronautica Sinica, 2016, 37(11): 3197-3225 (in Chinese)
    [29]
    Zhang Y, Han Z, Song W. Multi-fidelity expected improvement based on multi-level hierarchical kriging model for efficient aerodynamic design optimization. Engineering Optimization, 2024, 56(12): 2408-2430
    [30]
    张伟伟, 寇家庆, 刘溢浪. 智能赋能流体力学展望. 航空学报, 2021, 42(4): 524689 (Zhang Weiwei, Kou Jiaqing, Liu Yilang. Prospect of artificial intelligence empowered fluid mechanics. Acta Aeronautica et Astronautica Sinica, 2021, 42(4): 524689 (in Chinese)

    Zhang Weiwei, Kou Jiaqing, Liu Yilang. Prospect of artificial intelligence empowered fluid mechanics. Acta Aeronautica et Astronautica Sinica, 2021, 42(4): 524689 (in Chinese)
    [31]
    Goldberg DE. Genetic Algorithms in Search, Optimization and Machine Learning. Reading, Massachusetts, USA: Addison-Wesley, 1989
    [32]
    Xu C, Han Z, Zhang K, et al. A novel multi-fidelity cokriging model assisted by multiple non-hierarchical low-fidelity datasets. Structural and Multidisciplinary Optimization, 2024, 67(4): 52 doi: 10.1007/s00158-024-03744-8
    [33]
    Xu C, Han Z, Zhang K, et al. A novel multi-fidelity cokriging model assisted by multiple non-hierarchical low-fidelity datasets. Structural and Multidisciplinary Optimization, 2024, 67(52): 1-27
    [34]
    Rugveth VS, Khatter K. Sensitivity analysis on Gaussian quantum-behaved particle swarm optimization control parameters. Soft Computing, 2023, 27(13): 8759-8774 doi: 10.1007/s00500-023-08011-4
    [35]
    Ribeiro LG, Parente E, de Melo AMC. Alternative variable-fidelity acquisition functions for efficient global optimization of black-box functions. Structural and Multidisciplinary Optimization, 2023, 66(7): 147 doi: 10.1007/s00158-023-03607-8
    [36]
    Qiao N, Ma T, Jing B, et al. Design and aerodynamic analysis of the morphing waverider with rotating telescopic wing for wide-speed-range flight. Aerospace Science and Technology, 2025, 158: 109941 doi: 10.1016/j.ast.2025.109941
    [37]
    李素循. 典型外形高超声速流动特性. 北京: 国防工业出版社, 2007 (Li Suxun. Hypersonic Flow Characteristics of Typical Configurations. Beijing: National Defense Industry Press, 2007 (in Chinese)

    Li Suxun. Hypersonic Flow Characteristics of Typical Configurations. Beijing: National Defense Industry Press, 2007 (in Chinese)
    • Related Articles

  • Related Articles

    [1]Wang Xuan, Shi Yuankun, Yang Bo, Cheng Changzheng, Long Kai. RELIABILITY-BASED TOPOLOGY OPTIMIZATION OF FAIL-SAFE STRUCTURES USING RESPONSE SURFACE METHOD[J]. Chinese Journal of Theoretical and Applied Mechanics, 2023, 55(5): 1206-1216. DOI: 10.6052/0459-1879-22-591
    [2]Kong Xijun, Xing Haojie, Li Hongjing, Zhou Zhenghua. AN APPROACH TO CONTROLLING DRIFT INSTABILITY OF MULTI-TRANSMITTING FORMULA[J]. Chinese Journal of Theoretical and Applied Mechanics, 2021, 53(11): 3097-3109. DOI: 10.6052/0459-1879-21-435
    [3]Peng Xirong, Sui Yunkang. ICM METHOD FOR FAIL-SAFE TOPOLOGY OPTIMIZATION OF CONTINUUM STRUCTURES[J]. Chinese Journal of Theoretical and Applied Mechanics, 2018, 50(3): 611-621. DOI: 10.6052/0459-1879-17-366
    [4]Wang Bo, Zhou Yan, Zhou Yiming. MULTIPLE DESIGNS APPROACH FOR CONTINUUM TOPOLOGY OPTIMIZATION[J]. Chinese Journal of Theoretical and Applied Mechanics, 2016, 48(4): 984-993. DOI: 10.6052/0459-1879-15-441
    [5]Li Jie, Xu Jun. A QUANTITATIVE APPROACH TO STOCHASTIC DYNAMIC STABILITY OF STRUCTURES[J]. Chinese Journal of Theoretical and Applied Mechanics, 2016, 48(3): 702-713. DOI: 10.6052/0459-1879-15-304
    [6]Wei Shi Ximin Liu Shoufeng Lu. An estimation approach of wave speed in real traffic flow[J]. Chinese Journal of Theoretical and Applied Mechanics, 2011, 43(5): 850-855. DOI: 10.6052/0459-1879-2011-5-lxxb2010-709
    [7]Du Jianming Guo Xu. Fail-safe optimal design of truss structures based on robust optimization[J]. Chinese Journal of Theoretical and Applied Mechanics, 2011, 43(4): 725-730. DOI: 10.6052/0459-1879-2011-4-lxxb2010-460
    [8]Ping Yi, Dixiong Yang. Convergence control of probabilistic structural design optimization based on performance measure approach[J]. Chinese Journal of Theoretical and Applied Mechanics, 2008, 40(1): 128-134. DOI: 10.6052/0459-1879-2008-1-2007-195
    [9]An effective numerical approach for interaction of macrocrack with mircocracks[J]. Chinese Journal of Theoretical and Applied Mechanics, 2006, 38(1): 112-117. DOI: 10.6052/0459-1879-2006-1-2005-042
    [10]ANALYSIS ON PFEIFFER'S METHOD STUDYING SLOSH OF SPINNING LIQUID[J]. Chinese Journal of Theoretical and Applied Mechanics, 1993, 25(6): 738-743. DOI: 10.6052/0459-1879-1993-6-1995-701

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (107) PDF downloads (59) Cited by()
    Related

    Download Center

    Author Center

      Copyright © Editorial Office of the Chinese Journal of Mechanics   京ICP备05039218号-1

      Address：15 Beishihuan Xi Lu, Haidian District, Beijing, China   China Pos：100190

      Tel：010-62536271

      Email：lxxb@cstam.org.cn

      Supported by: Beijing Renhe Information Technology Co., Ltd.  Baidu Analytics

      /

      DownLoad:  Full-Size Img  PowerPoint
      Return
      Return