Quasi-sequence decoupling method for life reliability optimization of turbine blades

被引：0

作者：

Jia, Beixi ^{[1
]}

Xing, Chenguang ^{[1
]}

Liu, Bo ^{[1
]}

Tan, Jianmei ^{[1
]}

Song, Kunling ^{[1
]}

机构：

[1] Chinese Aeronautical Establishment, Beijing

来源：

Guofang Keji Daxue Xuebao/Journal of National University of Defense Technology | 2024年 / 46卷 / 06期

关键词：

adaptive Surrogate model; paramelric Simulation System; quasi-sequence decoupling method; reliabilily-based design optimization;

D O I：

10.11887/j.cn.202406005

中图分类号：

学科分类号：

摘要：

He was difficult to balance the efficiency and accuracy of mulli-mode life RBDO(reliability-based design oplimizalion) of turbine blades with film holes in the presence of random uncertainty, a quasi-sequence decoupling method of RBDO based on adaptive Kriging Surrogate model was proposed. The construction process of the limit State surface Surrogate model in reliability constraint was updated in real time with the search iteration of the design parameters, and the Surrogate model slrictly ensured the accuracy of Surrogate model and feasible region judgmenl in each iteration step. The proposed method avoided updaling the limit State surface in non-access domain of design parameters, so that obtaining a high convergence speed and strong robustness. The embedded real-time update strategy builds a cooperative Surrogate model in the extended Space and shares training sample poinls, and adaptively trains the Kriging model of the objective function until convergence, so that it is able to ensure the Surrogate accuracy and significanlly improve the optimization efficiency. In addition, an integrated and automatic Simulation System for life reliability optimization is developed, which verifies the high efficiency and engineering feasibilily of the proposed method and Software in the turbine blade life RBDO problem. © 2024 National University of Defense Technology. All rights reserved.

引用

页码：43 / 53

页数：10

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