Journal
MECHANICAL SYSTEMS AND SIGNAL PROCESSING
Volume 49, Issue 1-2, Pages 196-208Publisher
ACADEMIC PRESS LTD- ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ymssp.2014.04.013
Keywords
Mechanical dynamic assembly; High pressure turbine; Blade-tip radial running clearance; Probabilistic design; Distributed collaborative response surface method (DCRSM); DCRSM-based support vector machine of regression (SR) (DCSRM)
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Funding
- National Natural Science Foundations of China [51175017, 51245027]
- Research Fund for the Doctoral Program of Higher Education of China [20111102110011]
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To improve the computational precision and efficiency of probabilistic design for mechanical dynamic assembly like the blade-tip radial running clearance (BTRRC) of gas turbine, a distribution collaborative probabilistic design method-based support vector machine of regression (SR)(called as DCSRM) is proposed by integrating distribution collaborative response surface method and support vector machine regression model. The mathematical model of DCSRM is established and the probabilistic design idea of DCSRM is introduced. The dynamic assembly probabilistic design of aeroengine high-pressure turbine (HPT) BTRRC is accomplished to verify the proposed DCSRM. The analysis results reveal that the optimal static blade-tip clearance of HPT is gained for designing BTRRC, and improving the performance and reliability of aeroengine. The comparison of methods shows that the DCSRM has high computational accuracy and high computational efficiency in BTRRC probabilistic analysis. The present research offers an effective way for the reliability design of mechanical dynamic assembly and enriches mechanical reliability theory and method. (C) 2014 Elsevier Ltd. All rights reserved.
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