| 引用本文: | 张文鑫,吕震宙.涡轮盘疲劳寿命可靠性设计仿真及优化策略.[J].国防科技大学学报,2023,45(1):117-128.[点击复制] |
| ZHANG Wenxin,LYU Zhenzhou.Co-simulation of reliability optimization design for turbine disk′s fatigue life with its core optimization strategy[J].Journal of National University of Defense Technology,2023,45(1):117-128[点击复制] |
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| 涡轮盘疲劳寿命可靠性设计仿真及优化策略 |
| 张文鑫,吕震宙 |
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(西北工业大学 航空学院, 陕西 西安 710072)
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| 摘要: |
| 涡轮盘是航空发动机主要部件之一,一旦发生破坏性故障将导致严重的后果。在充分考虑影响涡轮盘高低周复合疲劳寿命因素不确定性基础上,以MATLAB为平台,设计了涡轮盘高低周复合疲劳寿命可靠性优化设计的联合仿真平台。利用寿命函数和寿命可靠性分析极限状态函数中的共性需求,提出了在优化迭代的过程中自适应构建寿命函数Kriging模型和寿命可靠性极限状态面Kriging模型时共用训练样本点的策略。同时,提出了一种构建寿命函数Kriging模型的学习函数。使用所搭建的疲劳寿命可靠性优化设计平台,完成了某型涡轮盘盘心、榫槽以及涡轮盘系统高低周复合疲劳寿命的可靠性优化设计。结果表明,最优设计方案的局部最大应力显著降低,均值寿命大幅提高,并满足可靠性约束。 |
| 关键词: 涡轮盘 高低周复合疲劳寿命 可靠性优化设计 代理模型 全局学习函数 |
| DOI：10.11887/j.cn.202301013 |
| 投稿日期：2021-02-22 |
| 基金项目:国家自然科学基金资助项目(51775439) |
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| Co-simulation of reliability optimization design for turbine disk′s fatigue life with its core optimization strategy |
| ZHANG Wenxin, LYU Zhenzhou |
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(School of Aeronautics, Northwestern Polytechnical University, Xi′an 710072, China)
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| Abstract: |
| Turbine disk is one of the main components of aero-engine. Once a critical failure occurs, it will lead to serious consequences. On the basis of fully considering the uncertain factors affecting high-low cycle complex fatigue life of turbine disks, co-simulation platform of reliability optimization with high-low cycle compound fatigue life for turbine disk was designed by MATLAB. The uncertain factors affecting high-low cycle complex fatigue life of turbine disks are full considered in the platform. Based on the common requirements of lifetime function and lifetime reliability analysis limit state function, a strategy of sharing training sample points in adaptive construction of lifetime function Kriging model and lifetime reliability limit state surface Kriging model in the process of optimization iteration was proposed. Meanwhile, a learning function for constructing Kriging model of lifetime function was proposed. The high-low cycle complex fatigue life reliability optimization of turbine disk center and mortise were completed using the co-simulation platform. The results show that the local maximum stress of the optimal result is significantly reduced, the average life-cycle is increased, and the reliability constraints are satisfied. |
| Keywords: turbine disk high-low cycle complex fatigue life reliability optimization design surrogate model global learning function |
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