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contributor authorRaghavendra Murthy
contributor authorAly El-Shafei
contributor authorMarc P. Mignolet
date accessioned2017-05-09T00:37:32Z
date available2017-05-09T00:37:32Z
date copyrightSeptember, 2010
date issued2010
identifier issn1528-8919
identifier otherJETPEZ-27131#092501_1.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/143103
description abstractA systematic and rational approach is presented for the consideration of uncertainty in rotordynamics systems, i.e., in rotor mass and gyroscopic matrices, stiffness matrix, and bearing coefficients. The approach is based on the nonparametric stochastic modeling technique, which permits the consideration of both data and modeling uncertainty. The former is induced by a lack of exact knowledge of properties such as density, Young’s modulus, etc. The latter occurs in the generation of the computational model from the physical structure as some of its features are invariably ignored, e.g., small anisotropies, or approximately represented, e.g., detailed meshing of gears. The nonparametric stochastic modeling approach, which is briefly reviewed first, introduces uncertainty in reduced order models through the randomization of their system matrices (e.g., stiffness, mass, and damping matrices of nonrotating structural dynamic systems). Here, this methodology is extended to permit the consideration of uncertainty in symmetric and asymmetric rotor dynamic systems. More specifically, uncertainties on the rotor stiffness (stiffness matrix) and/or mass properties (mass and gyroscopic matrices) are first introduced that maintain the symmetry of the rotor. The generalization of these concepts to uncertainty in the bearing coefficients is achieved next. Finally, the consideration of uncertainty in asymmetric rotors is described in detail.
publisherThe American Society of Mechanical Engineers (ASME)
titleNonparametric Stochastic Modeling of Uncertainty in Rotordynamics—Part I: Formulation
typeJournal Paper
journal volume132
journal issue9
journal titleJournal of Engineering for Gas Turbines and Power
identifier doi10.1115/1.3204645
journal fristpage92501
identifier eissn0742-4795
keywordsSimulation
keywordsAlgorithms
keywordsModeling
keywordsRotors
keywordsStiffness
keywordsUncertainty
keywordsRotordynamics
keywordsBearings AND Damping
treeJournal of Engineering for Gas Turbines and Power:;2010:;volume( 132 ):;issue: 009
contenttypeFulltext


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