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ETD Abstract Container

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Stochastic Modeling of Geometric Mistuning and Application to Fleet Response Prediction

Henry, Emily Brooke
http://rave.ohiolink.edu/etdc/view?acc_num=wright1421095761

Abstract Details

2014, Master of Science in Engineering (MSEgr), Wright State University, Mechanical Engineering.
An improved spatial statistical approach and probabilistic prediction method for mistuned integrally bladed rotors is proposed and validated with a large population of rotors. Prior work utilized blade-alone principal component analysis to model spatial variation arising from geometric deviations contributing to forced response mistuning amplification. Often, these studies considered a single rotor measured by contact probe coordinate measurement machines to assess the predictive capabilities of spatial statistics through principal component analysis. The validity of the approach has not yet been demonstrated on a large population of mistuned rotors representative of operating fleets, a shortcoming addressed in this work. Furthermore, this work improves the existing predictions by applying principal component methods to sets of airfoil (rotor) measurements, thus effectively capturing blade-to-blade spatial correlations. In conjunction with bootstrap sampling, the method is validated with a set of 40 rotors and quantifies the subset size needed to characterize the population. The work combines a novel statistical representation of rotor geometric mistuning with that of probabilistic techniques to predict the known distribution of forced response amplitudes.
Joseph C. Slater, Ph.D., P.E. (Advisor)
Jeffrey M. Brown, Ph.D. (Committee Member)
J. Mitch Wolff, Ph.D. (Committee Member)
Ha-Rok Bae, Ph.D. (Committee Member)
131 p.
Aerospace Engineering; Engineering; Mechanical Engineering
Principal Component Analysis; PCA; Mistuning; Geometric Mistuning; Probabilistics; Bootstrapping; Turbine Engine; Rotor; Integrally Bladed Rotor; IBR; Blisk; Forced Response; Prediction

Recommended Citations

Citations

  • Henry, E. B. (2014). Stochastic Modeling of Geometric Mistuning and Application to Fleet Response Prediction [Master's thesis, Wright State University]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421095761

    APA Style (7th edition)

  • Henry, Emily. Stochastic Modeling of Geometric Mistuning and Application to Fleet Response Prediction. 2014. Wright State University, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=wright1421095761.

    MLA Style (8th edition)

  • Henry, Emily. "Stochastic Modeling of Geometric Mistuning and Application to Fleet Response Prediction." Master's thesis, Wright State University, 2014. http://rave.ohiolink.edu/etdc/view?acc_num=wright1421095761

    Chicago Manual of Style (17th edition)

wright1421095761
595
© 2014, all rights reserved.
This open access ETD is published by Wright State University and OhioLINK.