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一种实现结构风险最小化思想的结构自适应神经网络模型
  • 期刊名称:仪器仪表学报[J], 2007, 28(10): 1874-1879
  • 时间:0
  • 分类:V231.9[航空宇航科学与技术—航空宇航推进理论与工程;航空宇航科学技术]
  • 作者机构:[1]南京航空航天大学民航学院,南京210016
  • 相关基金:国家自然科学基金(50705042);航空科学基金(2007ZB52022);国家安全重大基础研究项目(613139)
  • 相关项目:基于耦合动力学与机器学习的转静碰摩耦合故障分析与辨识
中文摘要:

针对航空发动机整机振动,建立了一种通用的复杂转子-支承-机匣耦合动力学模型.在模型中,利用有限元方法对转子和机匣系统进行建模.支承系统采用集总参数模型,计人了滚动轴承和挤压油膜阻尼器的非线性,定义了多种支承和连接方式,以适应多转子和多机匣的复杂结构建模.运用数值积分获取系统非线性动力学响应.针对两个实际的航空发动机转子实验器,建立了整机耦合动力学模型,进行了整机模态实验验证,结果表明了航空发动机整机振动耦合动力学建模方法的正确有效性.

英文摘要:

In order to study the whole aero-engine vibration, a generalized complex rotor-support-casing coupling dynamic model was established. In the model, the rotor and casing systems were modeled by means of the finite elements method; the support systems were modeled by the lumped parameter model, and the nonlinear factors of ball bearings and the squeeze film dampers were also included; the complex structures with multi-rotor and multi-casing was considered. A numerical integral method was used to obtain the system responses. Two aero-engine rotor testers were designed to verify the new model. The coupling dynamic model was established for the tester according to the new method, and the modal tests were carried out. The computation results were compared with the experiments results. The results indicate the effectiveness of the new method.

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