Uncertainty in thermal analysis of gas turbine blades
Uncertainty in thermal analysis of gas turbine blades
This paper presents a methodology for thermal analysis of gas turbine blades in the presence of material and geometrical uncertainties. We outline the steps, involving random field and spatial discretization procedures followed by the solution and post-processing schemes employing stochastic reduced basis methods, for both types of uncertainties. Numerical studies are presented for a model problem which clearly indicate the speed and accuracy of the method in comparison to a benchmark Monte-Carlo simulation.
Mohan, P. Surya
0622f14f-3ee9-457b-9153-c0fdfbb1dc91
Nair, Prasanth B.
d4d61705-bc97-478e-9e11-bcef6683afe7
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
May 2009
Mohan, P. Surya
0622f14f-3ee9-457b-9153-c0fdfbb1dc91
Nair, Prasanth B.
d4d61705-bc97-478e-9e11-bcef6683afe7
Keane, Andy J.
26d7fa33-5415-4910-89d8-fb3620413def
Mohan, P. Surya, Nair, Prasanth B. and Keane, Andy J.
(2009)
Uncertainty in thermal analysis of gas turbine blades.
50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, California, USA.
03 - 06 May 2009.
13 pp
.
Record type:
Conference or Workshop Item
(Paper)
Abstract
This paper presents a methodology for thermal analysis of gas turbine blades in the presence of material and geometrical uncertainties. We outline the steps, involving random field and spatial discretization procedures followed by the solution and post-processing schemes employing stochastic reduced basis methods, for both types of uncertainties. Numerical studies are presented for a model problem which clearly indicate the speed and accuracy of the method in comparison to a benchmark Monte-Carlo simulation.
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Published date: May 2009
Additional Information:
AIAA paper no. 2009-2262
Venue - Dates:
50th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, California, USA, 2009-05-03 - 2009-05-06
Identifiers
Local EPrints ID: 71650
URI: http://eprints.soton.ac.uk/id/eprint/71650
PURE UUID: ddddb079-6892-481c-9d98-22b554f9255d
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Date deposited: 17 Dec 2009
Last modified: 26 Jul 2022 01:35
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Contributors
Author:
P. Surya Mohan
Author:
Prasanth B. Nair
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