Rajasekharan Nair, Rahul and Petrov, Yevgen (2018) Analysis of deformation of mistuned bladed disks with friction and random crystal anisotropy orientation using gradient-based polynomial chaos expansion. ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition: Volume 7C: Structures and Dynamics.

	PDF - Accepted Version Download (1MB)
	PDF - Accepted Version Restricted to SRO admin only Download (1MB)
	Microsoft Word (cover sheet) - Other Restricted to SRO admin only Download (44kB)

Abstract

Single crystal blades used in high pressure turbine bladed disks of modern gas-turbine engines exhibit material anisotropy. In this paper the sensitivity analysis is performed to quantify the effects of blade material anisotropy orientation on deformation of a mistuned bladed disk under static centrifugal load. For a realistic, high fidelity model of a bladed disk both: (i) linear, and (ii) non-linear friction contact conditions at blade roots and shrouds are considered. The following two kinds of analysis are performed: (i) local sensitivity analysis, based on first order derivatives of system response w.r.t design parameters, and (ii) statistical analysis using polynomial chaos expansion. The polynomial chaos expansion is used to transfer the uncertainty in random input parameters to uncertainty in static deformation of the bladed disk. An effective strategy, using gradient information, is proposed to address the “curse of dimensionality” problem associated with statistical analysis of realistic bladed disk.

Item Type:	Article
Additional Information:	ISBN 9780791851159
Keywords:	bladed disks, anisotropic material, sensitivity, statistics, polynomial chaos, static deformation
Schools and Departments:	School of Engineering and Informatics > Engineering and Design
Research Centres and Groups:	Dynamics, Control and Vehicle Research Group
Subjects:	T Technology > TJ Mechanical engineering and machinery T Technology > TL Motor vehicles. Aeronautics. Astronautics
Depositing User:	Yevgen Petrov
Date Deposited:	16 Jul 2018 11:47
Last Modified:	02 Aug 2021 09:44
URI:	http://sro.sussex.ac.uk/id/eprint/77195

View download statistics for this item

📧 Request an update