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
  • [21] A comparison of data-driven methods in prediction of weather patterns in central Croatia
    Damjan Katušić
    Krešimir Pripužić
    Mladen Maradin
    Mirjana Pripužić
    Earth Science Informatics, 2022, 15 : 1249 - 1265
  • [22] Comparison of data-driven methods in the prediction of hydro-socioeconomic parameters
    Rezaee, Alireza
    Bozorg-Haddad, Omid
    Chu, Xuefeng
    AQUA-WATER INFRASTRUCTURE ECOSYSTEMS AND SOCIETY, 2023, 72 (04) : 438 - 455
  • [23] Interpretable data-driven prediction methods for atmospheric chloride deposition rate
    Chen, Qian
    Wang, Han
    Liu, Yujie
    Shangguan, Yiyang
    Ma, Xiaobing
    Cai, Yikun
    ATMOSPHERIC ENVIRONMENT, 2024, 334
  • [24] A comparison of data-driven methods in prediction of weather patterns in central Croatia
    Katusic, Damjan
    Pripuzic, Kresimir
    Maradin, Mladen
    Pripuzic, Mirjana
    EARTH SCIENCE INFORMATICS, 2022, 15 (02) : 1249 - 1265
  • [25] Data-driven and hybrid coastal morphological prediction methods for mesoscale forecasting
    Reeve, Dominic E.
    Karunarathna, Harshinie
    Pan, Shunqi
    Horrillo-Caraballo, Jose M.
    Rozynski, Grzegorz
    Ranasinghe, Roshanka
    GEOMORPHOLOGY, 2016, 256 : 49 - 67
  • [26] A Data-Driven Parameter Prediction Method for HSS-Type Methods
    Jiang, Kai
    Su, Jianghao
    Zhang, Juan
    MATHEMATICS, 2022, 10 (20)
  • [27] Alarm Prediction in Cellular Base Stations Using Data-Driven Methods
    Boldt, Martin
    Ickin, Selim
    Borg, Anton
    Kulyk, Valentin
    Gustafsson, Jorgen
    IEEE TRANSACTIONS ON NETWORK AND SERVICE MANAGEMENT, 2021, 18 (02): : 1925 - 1933
  • [28] Data-Driven Machine-Learning Methods for Diabetes Risk Prediction
    Dritsas, Elias
    Trigka, Maria
    SENSORS, 2022, 22 (14)
  • [29] Data-Driven Social Security Event Prediction: Principles, Methods, and Trends
    Xu, Nuo
    Sun, Zhuo
    APPLIED SCIENCES-BASEL, 2025, 15 (02):
  • [30] The sensitivity to metocean data on using data-driven methods for a Valemax vessel speed prediction
    Wang, Jun
    Zhang, Wenjing
    Wang, Yiyang
    OCEAN ENGINEERING, 2022, 252