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Australian Journal of Mechanical Engineering Volume 8, 2011 - Issue 2: ACAM6
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conference paper

Fluid-structure interaction study of gas turbine blade vibrations

G L ForbesThe School of Mechanical and Manufacturing Engineering, University of New South Wales, SydneyCorrespondence[email protected]
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,
O N AlshroofThe School of Mechanical and Manufacturing Engineering, University of New South Wales, SydneyView further author information
&
R B RandallThe School of Mechanical and Manufacturing Engineering, University of New South Wales, SydneyView further author information
Pages 143-150 | Published online: 22 Sep 2015

References

  • Dedoussis, V., Mathioudakis, K. & Papiliou, K. D. 1997, “Numerical simulation of blade fault signatures from unsteady wall pressure signals”, Journal of Engineering for Gas Turbines and Power, Transactions of the ASME, Vol. 119, pp. 362–369.
  • Forbes, G. L. 2010, “Non-contact gas turbine blade vibration monitoring using internal pressure and casing response measurements”, PhD Dissertation, The University of New South Wales, 211 pp.
  • Forbes, G. L. & Randall, R. B. 2009a, “Simulation of Gas Turbine blade vibration measurement from unsteady casing wall pressure”, Acoustics 2009: Research to Consulting, Australian Acoustical Society, Adelaide.
  • Forbes, G. L. & Randall, R. B. 2009b, “Gas Turbine Casing Vibrations under Blade Pressure Excitation”, MFPT 2009, Dayton, Ohio.
  • Hall, K. C. & Ekici, K. 2006, “Computational Methods for Non-linear Unsteady Aerodynamics in Turbomachinery”, 7th IFToMM-Conference on Rotor Dynamics, Vienna, Austria.
  • Mailach, R., Muller, L. & Vogeler, K. 2004, “Rotorstator interactions in a four-stage low-speed axial compressor – Part II: Unsteady aerodynamic forces of rotor and stator blades”, Journal of Turbomachinery, Vol. 126, No. 4, pp. 519–526.
  • Meher-Homji, C. B. 1995, Blading vibration and failures in gas turbines part A: blading dynamics & the operating environment, ASME, New York, NY, USA.
  • Nowinski, M. & Panovsky, P. J. 2000, “Flutter mechanism in low pressure turbine blades”, Journal of Engineering for Gas Turbines and Power, Vol. 122, No. 1, pp. 82–88.
  • Stamatis, A., Aretakis, N. & Mathioudakis, K. 1997, “Blade fault recognition based on signal processing and adaptive fluid dynamic modelling”, ASME, New York, NY, USA.

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