Nonparametric Stochastic Modeling of Uncertainty in Rotordynamics-Part II: Applications

被引:20
|
作者
Murthy, Raghavendra [1 ]
Mignolet, Marc P. [1 ]
El-Shafei, Aly [2 ]
机构
[1] Arizona State Univ, Dept Mech & Aerosp Engn, Tempe, AZ 85287 USA
[2] Cairo Univ, Dept Mech Design & Prod, Giza 12316, Egypt
关键词
uncertainty; uncertain rotor; uncertain bearings; rotordynamics; nonparametric stochastic modeling; random matrices;
D O I
10.1115/1.3204650
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In the first part of this series, a comprehensive methodology was proposed for the consideration of uncertainty in rotordynamic systems. This second part focuses on the application of this approach to a simple, yet representative, symmetric rotor supported by two journal bearings exhibiting linear, asymmetric properties. The effects of uncertainty in rotor properties (i.e., mass, gyroscopic, and stiffness matrices) that maintain the symmetry of the rotor are first considered. The parameter lambda that specifies the level of uncertainty in the simulation of stiffness and mass uncertain properties (the latter with algorithm I) is obtained by imposing a standard deviation of the first nonzero natural frequency of the free nonrotating rotor. Then, the effects of these uncertainties on the Campbell diagram, eigenvalues and eigenvectors of the rotating rotor on its bearings, forced unbalance response, and oil whip instability threshold are predicted and discussed. A similar effort is also carried out for uncertainties in the bearing stiffness and damping matrices. Next, uncertainties that violate the asymmetry of the present rotor are considered to exemplify the simulation of uncertain asymmetric rotors. A comparison of the effects of symmetric and asymmetric uncertainties on the eigenvalues and eigenvectors of the rotating rotor on symmetric bearings is finally performed to provide a first perspective on the importance of uncertainty-born asymmetry in the response of rotordynamic systems. [DOI: 10.1115/1.3204650]
引用
收藏
页码:92502 / 1
页数:11
相关论文
共 50 条
  • [21] Modeling the Bauschinger effect for sheet metals, part II: applications
    Chun, BK
    Kim, HY
    Lee, JK
    INTERNATIONAL JOURNAL OF PLASTICITY, 2002, 18 (5-6) : 597 - 616
  • [22] New trends in fuzzy modeling. part II: applications
    Adel M. Alimi
    Francisco Herrera
    Soft Computing, 2006, 10 : 865 - 865
  • [23] The inverse ocean modeling system. Part II: Applications
    Muccino, J.C.
    Arango, H.G.
    Bennett, A.F.
    Chua, B.S.
    Cornuelle, B.D.
    Di Lorenzo, E.
    Egbert, G.D.
    Haidvogel, D.
    Levin, J.C.
    Luo, H.
    Miller, A.J.
    Moore, A.M.
    Zaron, E.D.
    Journal of Atmospheric and Oceanic Technology, 2008, 25 (09): : 1623 - 1637
  • [24] Estimation of nonparametric noise and FRF models for multivariable systems-Part II: Extensions, applications
    Pintelon, R.
    Schoukens, J.
    Vandersteen, G.
    Barbe, K.
    MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2010, 24 (03) : 596 - 616
  • [25] Gas Condensate Reservoir Modeling: Part II. Development of a Stochastic Model
    Babalola, F. U.
    Susu, A. A.
    Azom, P. N.
    PETROLEUM SCIENCE AND TECHNOLOGY, 2009, 27 (14) : 1545 - 1554
  • [26] Nonparametric identification of the spatial autoregression model under a priori stochastic uncertainty
    Goryainov, V. B.
    Goryainova, E. R.
    AUTOMATION AND REMOTE CONTROL, 2010, 71 (02) : 198 - 208
  • [27] Nonparametric identification of the spatial autoregression model under a priori stochastic uncertainty
    V. B. Goryainov
    E. R. Goryainova
    Automation and Remote Control, 2010, 71 : 198 - 208
  • [28] DETECTION OF A STOCHASTIC SIGNAL AT THE NONPARAMETRIC A PRIORI UNCERTAINTY RELATIVELY TO OBSERVATION DISTRIBUTIONS
    STRANGUL, ON
    TIMOFEYEV, AV
    IZVESTIYA VYSSHIKH UCHEBNYKH ZAVEDENII RADIOELEKTRONIKA, 1991, 34 (07): : 64 - 68
  • [29] Hybrid Modeling in Meteorological Applications. Part II: An Operational System
    Teixeira, L.
    Reiter, E. R.
    Meteorology and Atmospheric Physics, 55 (3-4):
  • [30] Modeling multibody systems with uncertainties. Part II: Numerical applications
    Sandu, C
    Sandu, A
    Ahmadian, M
    MULTIBODY SYSTEM DYNAMICS, 2006, 15 (03) : 241 - 262