Journal
AEROSPACE SCIENCE AND TECHNOLOGY
Volume 95, Issue -, Pages -Publisher
ELSEVIER FRANCE-EDITIONS SCIENTIFIQUES MEDICALES ELSEVIER
DOI: 10.1016/j.ast.2019.105439
Keywords
Creep-fatigue life; Probabilistic evaluation; Turbine disk; Surrogate modeling; Dynamicity
Categories
Funding
- National Natural Science Foundation of China [51575024, 51975028, 51975124]
- Academic Excellence Foundation of BUAA for PHD Students [BY1604137]
- Research Start-up Funding of Fudan University [FDU38341]
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To improve the modeling accuracy and simulation efficiency of probabilistic creep-fatigue life evaluation, a decomposed collaborative time-variant Kriging surrogate model (DCTKS) is proposed by absorbing the strengths of extremum selection technique and Kriging model into decomposed collaborative strategy. The probabilistic creep-fatigue life evaluation of a typical turbine disk is considered as one case to evaluate the proposed DCTKS method with respect to fluctuation of transient loads, nonlinearity of material properties and variability of models. In respect of this study, we find that the probabilistic creep-fatigue life of the turbine disk under the reliability degree of 0.998 7 is 946 cycles, and the transient fluctuating loads (body temperature and rotor speed) are the main factors of influencing creep-fatigue life. Through the comparison of methods (DCTKS, Monte Carlo simulation method, Kriging surrogate method, decomposed collaborative response surface method), the proposed DCTKS is demonstrated to possess the computational advantages in efficiency and accuracy for probabilistic creep-fatigue life evaluation. (C) 2019 Elsevier Masson SAS. All rights reserved.
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