Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/21843
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dc.contributorDepartment of Mechanical Engineering-
dc.creatorFei, CW-
dc.creatorBai, GC-
dc.creatorTang, WZ-
dc.creatorChoy, Y-
dc.date.accessioned2015-07-13T10:32:46Z-
dc.date.available2015-07-13T10:32:46Z-
dc.identifier.issn1687-8434en_US
dc.identifier.urihttp://hdl.handle.net/10397/21843-
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporationen_US
dc.rightsCopyright © 2015 Cheng-Wei Fei et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.en_US
dc.rightsThe following article: Fei, C. W., Bai, G. C., Tang, W. Z., & Choy, Y. (2015). Optimum control for nonlinear dynamic radial deformation of turbine casing with time-varying LSSVM. Advances in Materials Science and Engineering, 2015, is available at https//doi.org/10.1155/2015/680406en_US
dc.titleOptimum control for nonlinear dynamic radial deformation of turbine casing with time-varying LSSVMen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.volume2015en_US
dc.identifier.doi10.1155/2015/680406en_US
dcterms.abstractWith the development of the high performance and high reliability of aeroengine, the blade-tip radial running clearance (BTRRC) of high pressure turbine seriously influences the reliability and performance of aeroengine, wherein the radial deformation control of turbine casing has to be concerned in BTRRC design. To improve BTRRC design, the optimum control-based probabilistic optimization of turbine casing radial deformation was implemented using time-varying least square support vector machine (T-LSSVM) by considering nonlinear material properties and dynamic thermal load. First the T-LSSVM method was proposed and its mathematical model was established. And then the nonlinear dynamic optimal control model of casing radial deformation was constructed with T-LSSVM. Thirdly, through the numerical experiments, the T-LSSVM method is demonstrated to be a promising approach in reducing additional design samples and improving computational efficiency with acceptable computational precision. Through the optimum control-based probabilistic optimization for nonlinear dynamic radial turbine casing deformation, the optimum radial deformation is 7.865 × 10-4 m with acceptable reliability degree 0.995 6, which is reduced by 7.86 × 10-5 m relative to that before optimization. These results validate the effectiveness and feasibility of the proposed T-LSSVM method, which provides a useful insight into casing radial deformation, BTRRC control, and the development of gas turbine with high performance and high reliability.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationAdvances in materials science and engineering, 2015, 680406-
dcterms.isPartOfAdvances in materials science and engineering-
dcterms.issued2015-
dc.identifier.scopus2-s2.0-84924368645-
dc.identifier.eissn1687-8442en_US
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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