Multidisciplinary Design Optimization Processes for Efficiency Improvement of Aircraft: State-of-the-Art Review

被引：0
|
作者：
Leng, Jun-xue [1 ]
Wang, Zhen-guo [1 ]
Huang, Wei [1 ]
Shen, Yang [1 ]
An, Kai [1 ]
机构：
[1] Natl Univ Def Technol, Coll Aerosp Sci & Engn, Changsha 410073, Hunan, Peoples R China
来源：
INTERNATIONAL JOURNAL OF AERONAUTICAL AND SPACE SCIENCES | 2024年
基金：
国家重点研发计划;
关键词：
Multidisciplinary design optimization; Data dimensionality reduction; Machine learning; MDO strategy; Optimization algorithms; Data mining; AERODYNAMIC OPTIMIZATION; DIMENSIONALITY REDUCTION; GLOBAL OPTIMIZATION; MODEL; PERFORMANCE; CONCURRENT; ALGORITHM; DYNAMICS; JET;
D O I：
10.1007/s42405-024-00811-8
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
During actual flight processes, aircraft face various complex operating conditions and must consider the requirements of different disciplines to achieve good overall performance. Multidisciplinary design optimization (MDO) for aircraft is a complex and time-consuming task, making efficiency crucial in aircraft design. This paper starts from the conventional MDO process, covering five aspects including design variables, performance evaluation methods, MDO strategies, optimization algorithms, and knowledge extraction for enhancing MDO efficiency. It introduces multiple techniques and current research status aimed at improving MDO efficiency, and, combined with artificial intelligence, outlines future directions for MDO development. This paper aims to help MDO researchers clarify their thoughts and provide references for advancing current MDO methods.
引用
收藏
页数：23
相关论文
共 50 条
  • [1] Multidisciplinary design and optimization methodologies in electronics packaging: State-of-the-art review
    Hadim, Hamid
    Suwa, Tohru
    JOURNAL OF ELECTRONIC PACKAGING, 2008, 130 (03) : 0340011 - 03400110
  • [2] Energy efficiency of state-of-the-art grinding processes
    Hacksteiner, M.
    Peherstorfer, H.
    Bleicher, F.
    15TH GLOBAL CONFERENCE ON SUSTAINABLE MANUFACTURING, 2018, 21 : 717 - 724
  • [3] Evolutionary design optimization of MEMS: a review of its history and state-of-the-art
    Pan Wang
    Qibing Lu
    Zhun Fan
    Cluster Computing, 2019, 22 : 9105 - 9111
  • [4] Performance-Based Design Optimization of Structures: State-of-the-Art Review
    Hassanzadeh, Aydin
    Moradi, Saber
    Burton, Henry V.
    JOURNAL OF STRUCTURAL ENGINEERING, 2024, 150 (08)
  • [5] Evolutionary design optimization of MEMS: a review of its history and state-of-the-art
    Wang, Pan
    Lu, Qibing
    Fan, Zhun
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2019, 22 (Suppl 4): : S9105 - S9111
  • [6] Design for environment: a state-of-the-art review
    Urmila Diwekar
    Yogendra Shastri
    Clean Technologies and Environmental Policy, 2011, 13 : 227 - 240
  • [7] Design for environment: a state-of-the-art review
    Diwekar, Urmila
    Shastri, Yogendra
    CLEAN TECHNOLOGIES AND ENVIRONMENTAL POLICY, 2011, 13 (02) : 227 - 240
  • [8] Interactive Multiobjective Optimization: A Review of the State-of-the-Art
    Xin, Bin
    Chen, Lu
    Chen, Jie
    Ishibuchi, Hisao
    Hirota, Kaoru
    Liu, Bo
    IEEE ACCESS, 2018, 6 : 41256 - 41279
  • [9] A state-of-the-art review on types, design, optimization, and additive manufacturing of cellular structures
    Nazir, Aamer
    Abate, Kalayu Mekonen
    Kumar, Ajeet
    Jeng, Jeng-Ywan
    INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, 2019, 104 (9-12): : 3489 - 3510
  • [10] Machine Learning-assisted Antenna Design Optimization: A Review and the State-of-the-art
    Akinsolu, Mobayode O.
    Mistry, Keyur K.
    Liu, Bo
    Lazaridis, Paylos I.
    Excell, Peter
    2020 14TH EUROPEAN CONFERENCE ON ANTENNAS AND PROPAGATION (EUCAP 2020), 2020,
12345