Whirl flutter analysis of prop-rotors using unsteady aerodynamics reduced-order models

被引:0
|
作者
Department of Mechanical and Industrial Engineering, University Roma Tre, Rome, Italy [1 ]
不详 [2 ]
机构
来源
Aeronaut J | 2008年 / 1131卷 / 233-242期
关键词
14;
D O I
10.1017/s0001924000002207
中图分类号
学科分类号
摘要
引用
收藏
相关论文
共 50 条
  • [31] Reduced-order unsteady aerodynamic models at low Reynolds numbers
    Brunton, Steven L.
    Rowley, Clarence W.
    Williams, David R.
    JOURNAL OF FLUID MECHANICS, 2013, 724 : 203 - 233
  • [32] Reduced-Order Models for Nonlinear Flutter of Composite Laminates with Curvilinear Fibers
    Akhavan, Hamed
    Ribeiro, Pedro
    AIAA JOURNAL, 2019, 57 (07) : 3026 - 3039
  • [33] Flutter Prediction Using Reduced-Order Modeling with Error Estimation
    Lowe, Brandon M.
    Zingg, David W.
    AIAA JOURNAL, 2022, 60 (07) : 4240 - 4255
  • [34] Flutter detection using reduced-order dynamic isolation observer
    Toledo-Zucco, Jesus-Pablo
    De Souza, Alex Dos Reis
    Vuillemin, Pierre
    Poussot-Vassal, Charles
    Vernay, Robin
    Vetrano, Fabio
    2023 EUROPEAN CONTROL CONFERENCE, ECC, 2023,
  • [35] A Physics-Based, Reduced-Order Aerodynamics Model for Bluff Bodies in Unsteady, Arbitrary Motion
    Prosser, Daniel T.
    Smith, Marilyn J.
    JOURNAL OF THE AMERICAN HELICOPTER SOCIETY, 2015, 60 (03)
  • [36] Flutter analysis using unsteady aerodynamics in non-fade form
    Nissim, E
    JOURNAL OF AIRCRAFT, 1997, 34 (01): : 133 - 136
  • [37] Interval-based reduced-order models for unsteady fluid flow
    Borggaard, Jeff
    Hay, Alexander
    Pelletier, Dominique
    INTERNATIONAL JOURNAL OF NUMERICAL ANALYSIS AND MODELING, 2007, 4 (3-4) : 353 - 367
  • [38] Application of the modified reduced-order aerodynamics modelling approach to aeroelastic analysis
    Shahverdi, H.
    Nobari, A. S.
    Haddadpour, H.
    Behbahani-Nejad, M.
    PROCEEDINGS OF THE INSTITUTION OF MECHANICAL ENGINEERS PART G-JOURNAL OF AEROSPACE ENGINEERING, 2009, 223 (G3) : 257 - 270
  • [39] Development of reduced-order models for aeroelastic analysis and flutter prediction using the CFL3Dv6.0 code
    Silva, WA
    Bartels, RE
    JOURNAL OF FLUIDS AND STRUCTURES, 2004, 19 (06) : 729 - 745
  • [40] Assessment of unsteady flow predictions using hybrid deep learning based reduced-order models
    Bukka, Sandeep Reddy
    Gupta, Rachit
    Magee, Allan Ross
    Jaiman, Rajeev Kumar
    PHYSICS OF FLUIDS, 2021, 33 (01)