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基于数据驱动降阶模型的疲劳寿命预测

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为解决飞机结构疲劳寿命有效预测的难题,以实现视情维修,提升飞机的安全性与可靠性,文中以飞机真实关键结构部件——翼身融合段为具体研究对象,在深入研究疲劳寿命相关理论的基础上,通过仿真计算获得部段缘条处孔边裂纹扩展数据,针对机翼盒段部件的疲劳损伤建模复杂、模型泛化性弱等问题,提出一种基于反馈型LSTM的疲劳寿命预测方法,以载荷谱、初始状态、材料参数作为输入,以裂纹长度、剩余强度、使用寿命作为输出,对疲劳寿命全过程进行预测.构建多维度评估指标,从回归预测精度、模型泛化性、噪声鲁棒性等角度验证本课题所述模型的合理性与优越性.
Fatigue Life Prediction Based on Data Driven Reduced Order Model
In order to solve the problem of effective prediction of aircraft structural fatigue life,a-chieve condition-based maintenance and improve the safety and reliability of aircraft,this paper takes the real key structural component of an aircraft——the wing-body fusion section as the specific re-search object and conducts in-depth research on the basis of fatigue life related theories,the crack propagation data at the hole edge of the section edge is obtained through simulation calculations.Ai-ming at the problems of complex fatigue damage modeling and weak generalization of the wing box section components,a feedback-based model is proposed.LSTM's fatigue life prediction method takes load spectrum,initial state and material parameters as input,and crack length.residual strength and service life as output to predict the entire process of fatigue life.Finally,a multi-dimensional e-valuation index is constructed and the rationality and superiority of the model described in this topic are verified in view of regression prediction accuracy,model generalization and noise robustness.

fatigue lifecrack lengthresidual strengthfeedback-based LSTM modellife predic-tion

杜健男、张音旋、吴江鹏

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沈阳飞机设计研究所,辽宁沈阳 110035

疲劳寿命 裂纹长度 剩余强度 反馈型LSTM方法 寿命预测

2024

飞机设计
沈阳飞机设计研究所

飞机设计

影响因子:0.138
ISSN:1673-4599
年,卷(期):2024.44(4)