Statistical analysis of the forced response of mistuned bladed disks using stochastic reduced basis methods
Bah, Mamadou T., Nair, Prasanth B., Bhaskar, Atul and Keane, Andy J. (2002) Statistical analysis of the forced response of mistuned bladed disks using stochastic reduced basis methods. In, 43rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Denver, USA, 22 - 25 Apr 2002. American Institute of Aeronautics and Astronautics. AIAA, 1-10.
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This paper is concerned with the forced response statistics of mistuned bladed disk assemblies subjected to a deterministic sinusoidal excitation. A stochastic reduced basis method (SRBM) is used to compute the statistics of the system component amplitudes. In this approach, the system response in the frequency domain is represented using a linear combination of stochastic basis vectors with undermined coefficients.
The three terms of the second-order perturbation approximation (which span the stochastic Krylov subspace) are used as basis vectors and the undetermined coefficients are
evaluated using stochastic variants of the Bubnov- Galerkin Scheme. This results in explicit expressions for the response quantities in terms of the random system parameters. The statistics of the system response can hence be efficiently computed in the post-processing stage. Numerical results are presented for a model problem to demonstrate that the stochastic reduced basis formulation gives highly accurate results for the response statistical moments.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||Q Science > QA Mathematics > QA75 Electronic computers. Computer science
H Social Sciences > HA Statistics
|Divisions:||University Structure - Pre August 2011 > School of Engineering Sciences
|Date Deposited:||10 Jul 2006|
|Last Modified:||28 Jun 2012 09:54|
|Contributors:||Bah, Mamadou T. (Author)
Nair, Prasanth B. (Author)
Bhaskar, Atul (Author)
Keane, Andy J. (Author)
|Publisher:||American Institute of Aeronautics and Astronautics. AIAA|
|RDF:||RDF+N-Triples, RDF+N3, RDF+XML, Browse.|
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