A numerical investigation on direct and data-driven flutter prediction methods

被引:3
|
作者
Simiriotis, Nikolaos [1 ]
Palacios, Rafael [1 ]
机构
[1] Imperial Coll, London SW7 2AZ, England
基金
欧盟地平线“2020”;
关键词
Flutter; Limit -cycle oscillations; Harmonic balance; Unsteady aerodynamics; Numerical methods; Loewner framework; INTERPOLATION; SIMULATION;
D O I
10.1016/j.jfluidstructs.2023.103835
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
Three alternative algorithms for dynamic aeroelastic stability analysis are investigated. They are based either on direct search of oscillatory conditions of the coupled system or on eigenvalue analysis from frequency-domain sampling of the unsteady aerodynamics. The aerodynamic forcing is obtained with a harmonic-balanced solver developed for a general-purpose finite-volume fluid dynamics solver. This new implementation is first verified against experimental flutter results from the literature. A wing with relatively low bending stiffness is then used to explore the relative performance of each approach, both in terms of the numerical robustness and of their usability to support aeroelastic design. (c) 2023 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC
引用
收藏
页数:18
相关论文
共 50 条
  • [1] Investigation on Data-Driven Life Prediction Methods
    Yang, Shuai
    Liu, Chaoqin
    Zhou, Xue
    Liang, Wei
    Miao, Qiang
    2012 INTERNATIONAL CONFERENCE ON QUALITY, RELIABILITY, RISK, MAINTENANCE, AND SAFETY ENGINEERING (ICQR2MSE), 2012, : 674 - 680
  • [2] Data-driven methods for equity similarity prediction
    Yaros, John Robert
    Imielinski, Tomasz
    QUANTITATIVE FINANCE, 2015, 15 (10) : 1657 - 1681
  • [3] Data-driven joint noise reduction strategy for flutter boundary prediction
    Yan, Haoxuan
    Xu, Yong
    Liu, Qi
    Wang, Xiaolong
    Kurths, Juergen
    EUROPEAN PHYSICAL JOURNAL-SPECIAL TOPICS, 2025,
  • [4] Direct data-driven strategy for closed-loop aircraft flutter test
    Wang, Jianhong
    Ramirez-Mendoza, Ricardo A.
    AIRCRAFT ENGINEERING AND AEROSPACE TECHNOLOGY, 2023, 95 (05): : 749 - 756
  • [5] On identification methods for direct data-driven controller tuning
    van Heusden, Klaske
    Karimi, Alireza
    Soderstrom, Torsten
    INTERNATIONAL JOURNAL OF ADAPTIVE CONTROL AND SIGNAL PROCESSING, 2011, 25 (05) : 448 - 465
  • [6] Direct Data-Driven Methods for Risk Limiting Dispatch
    Qin, Junjie
    Poolla, Kameshwar
    Varaiya, Pravin
    2018 IEEE CONFERENCE ON DECISION AND CONTROL (CDC), 2018, : 3994 - 4001
  • [7] Data-driven methods for diffusivity prediction in nuclear fuels
    Craven, Galen T.
    Chen, Renai
    Cooper, Michael W. D.
    Matthews, Christopher
    Rizk, Jason
    Malone, Walter
    Johnson, Landon
    Gibson, Tammie
    Andersson, David A.
    COMPUTATIONAL MATERIALS SCIENCE, 2023, 230
  • [8] Numerical investigation and data-driven prediction of flow boiling heat transfer in manifold microchannels with slopes
    Yuan, Yi
    Chen, Li
    Zhang, Chuangde
    Tao, Wen-Quan
    APPLIED THERMAL ENGINEERING, 2024, 246
  • [9] On the Experimental, Numerical and Data-Driven Methods to Study Urban Flows
    Torres, Pablo
    Le Clainche, Soledad
    Vinuesa, Ricardo
    ENERGIES, 2021, 14 (05)
  • [10] Hybridizing physical and data-driven prediction methods for physicochemical properties
    Jirasek, Fabian
    Bamler, Robert
    Mandt, Stephan
    CHEMICAL COMMUNICATIONS, 2020, 56 (82) : 12407 - 12410