Non-stationary kriging prediction of turbomachinery time variant responses
Non-stationary kriging prediction of turbomachinery time variant responses
Surrogate models are usually employed in the representation of scalar values with little emphasis given to the modelling of time variant responses of scalar or vector quantities. The following paper aims to address this by presenting two non-stationary kriging based techniques which can be used to represent such quantities. These surrogate modelling strategies are demonstrated to accurately model the variation in turbomachinery component cycle performance with design changes thereby permitting future cross partner optimisations and trade-off studies.
Toal, David J.J.
dc67543d-69d2-4f27-a469-42195fa31a68
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
21 March 2011
Toal, David J.J.
dc67543d-69d2-4f27-a469-42195fa31a68
Keane, A.J.
26d7fa33-5415-4910-89d8-fb3620413def
Toal, David J.J. and Keane, A.J.
(2011)
Non-stationary kriging prediction of turbomachinery time variant responses.
9th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics, Istanbul, Turkey.
10 pp
.
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Abstract
Surrogate models are usually employed in the representation of scalar values with little emphasis given to the modelling of time variant responses of scalar or vector quantities. The following paper aims to address this by presenting two non-stationary kriging based techniques which can be used to represent such quantities. These surrogate modelling strategies are demonstrated to accurately model the variation in turbomachinery component cycle performance with design changes thereby permitting future cross partner optimisations and trade-off studies.
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NON-STATIONARY_KRIGING_PREDICTION_OF_TURBOMACHINERY_TIME_VARIANT_RESPONSES.pdf
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Published date: 21 March 2011
Venue - Dates:
9th European Conference on Turbomachinery Fluid Dynamics and Thermodynamics, Istanbul, Turkey, 2011-03-21
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Local EPrints ID: 188465
URI: http://eprints.soton.ac.uk/id/eprint/188465
PURE UUID: be579567-139a-443c-803e-2046349d18fd
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Date deposited: 25 May 2011 13:57
Last modified: 15 Mar 2024 03:29
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