Fatigue crack growth prediction under random vibration loading using extended Kalman filter algorithm considering coupled effects

IF 4.4 2区工程技术 Q1 ENGINEERING, MECHANICAL

Engineering Failure Analysis Pub Date : 2025-05-05 DOI:10.1016/j.engfailanal.2025.109683

Dingkun Fu , Yuhao Zhu , Piao Li , Weixing Yao

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引用次数: 0

Abstract

Accurate prediction of fatigue crack evolution in aircraft fuselage panels is critical for avoiding catastrophic structural failures and optimizing maintenance strategies. This paper proposes an Extended Kalman Filter (EKF) algorithm that accounts for the coupled effects of crack propagation and structural dynamic response, aiming to refine fatigue crack propagation life predictions by integrating the prior estimation with experimental crack growth data. To investigate the coupled mechanism between crack propagation and structural dynamic responses, a coupled analysis model is developed, where the variation of dynamic response is quantitatively characterized through displacement Power Spectral Density (PSD). Random vibration fatigue tests were performed on aluminum alloy specimens to evaluate the accuracy of the life prediction approach. Experimental results reveal a decreasing trend in natural frequency with increasing crack length. A comparative analysis between model predictions and experimental results shows that the EKF correction enhances prediction accuracy. The proposed approach effectively mitigates errors induced by measurement noise and system uncertainties, improving the reliability of fatigue life predictions.

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考虑耦合效应的扩展卡尔曼滤波算法在随机振动载荷下疲劳裂纹扩展预测

准确预测飞机机身面板的疲劳裂纹演化对避免灾难性结构失效和优化维修策略至关重要。本文提出了一种考虑裂纹扩展和结构动力响应耦合效应的扩展卡尔曼滤波（EKF）算法，旨在通过将先验估计与实验裂纹扩展数据相结合，改进疲劳裂纹扩展寿命预测。为了研究裂纹扩展与结构动力响应的耦合机理，建立了基于位移功率谱密度（PSD）定量表征结构动力响应变化的耦合分析模型。对铝合金试样进行了随机振动疲劳试验，以评价该寿命预测方法的准确性。实验结果表明，随着裂纹长度的增加，固有频率呈下降趋势。模型预测结果与实验结果的对比分析表明，EKF校正提高了预测精度。该方法有效地减轻了测量噪声和系统不确定性引起的误差，提高了疲劳寿命预测的可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Engineering Failure Analysis 工程技术-材料科学：表征与测试

CiteScore

7.70

自引率

20.00%

发文量

956

审稿时长

47 days

期刊介绍： Engineering Failure Analysis publishes research papers describing the analysis of engineering failures and related studies. Papers relating to the structure, properties and behaviour of engineering materials are encouraged, particularly those which also involve the detailed application of materials parameters to problems in engineering structures, components and design. In addition to the area of materials engineering, the interacting fields of mechanical, manufacturing, aeronautical, civil, chemical, corrosion and design engineering are considered relevant. Activity should be directed at analysing engineering failures and carrying out research to help reduce the incidences of failures and to extend the operating horizons of engineering materials. Emphasis is placed on the mechanical properties of materials and their behaviour when influenced by structure, process and environment. Metallic, polymeric, ceramic and natural materials are all included and the application of these materials to real engineering situations should be emphasised. The use of a case-study based approach is also encouraged. Engineering Failure Analysis provides essential reference material and critical feedback into the design process thereby contributing to the prevention of engineering failures in the future. All submissions will be subject to peer review from leading experts in the field.