期刊
IEEE TRANSACTIONS ON RELIABILITY
卷 69, 期 2, 页码 440-457出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TR.2019.2954379
关键词
Aerodynamics; Analytical models; Reliability; Probabilistic logic; Genetic algorithms; Turbines; Sensitivity analysis; Decomposed-coordinated (DC) strategy; dynamic probabilistic analysis; improved decomposed-coordinated Kriging modeling strategy (IDCKMS); Kriging surrogate model; multicomponent structure; turbine blisk
类别
资金
- National Natural Science Foundation of China [51975124, 51875465]
- Research Grant Council of the Hong Kong Polytechnic University [PolyU 5140/13E]
- Innovation Foundation for Doctor Dissertation of Northwestern Polytechnical University [CX201932]
- Research Start-Up Fund of Fudan University [FDU38341]
The probabilistic design of complex structure usually involves the features of numerous components, multiple disciplines, nonlinearity, and transients and, thus, requires lots of simulations as well. To enhance the modeling efficiency and simulation performance for the dynamic probabilistic analysis of the multicomponent structure, we propose an improved decomposed-coordinated Kriging modeling strategy (IDCKMS), by integrating decomposed-coordinated (DC) strategy, extremum response surface method (ERSM), genetic algorithm (GA), and Kriging surrogate model. The GA is used to resolve the maximum-likelihood equation and achieve the optimal values of the Kriging hyperparameter theta. The ERSM is utilized to resolve the response process of outputs in surrogate modeling by extracting the extremum values. The DC strategy is used to coordinate the output responses of analytical objectives. The probabilistic analysis of an aeroengine high-pressure turbine blisk with blade and disk is conducted to validate the effectiveness and feasibility of this developed method, by considering the fluid-thermal-structural interaction. In respect of this investigation, we see that the reliability of turbine blisk is 0.9976 as the allowable value of radial deformation is 2.319 x 10(-3) m. In terms of the sensitivity analysis, the highest impact on turbine blisk radial deformation is of gas temperature, followed by angular speed, inlet velocity, material density, outlet pressure, and inlet pressure. By the comparison of methods, including the DC surrogate modeling method (DCSMM) with quadratic polynomial, the DCSMM with Kriging, and the direct simulation with finite-element model, from the model-fitting features and simulation performance perspectives, we discover that the developed IDCKMS is superior to the other three methods in the precision and efficiency of modeling and simulation. The efforts of this article provide a highly efficient and highly accurate technique for the dynamic probabilistic analysis of complex structure and enrich reliability theory.
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