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融合导波监测的搭接结构裂纹扩展寿命孪生预测

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飞行器的高性能和长寿命需求对传统结构设计维护方法的变革提出了迫切要求.在数字孪生的理论思想下,提出一种飞行器搭接结构裂纹扩展寿命的在线预测方法,首先利用裂纹扩展准则和有限元模型建立搭接结构的数字孪生体及其代理模型,在结构服役过程中采用主动导波监测方法对物理实体搭接结构的裂纹长度进行监测,进一步通过贝叶斯滤波方法对搭接结构裂纹扩展准则参数进行修正,在此基础上结合数字孪生代理模型开展结构疲劳裂纹扩展寿命预测.通过蒙皮搭接结构的疲劳试验对方法进行验证,裂纹长度诊断结果的方均根误差为0.8 mm,在8万个载荷循环后裂纹扩展寿命预测结果的最大误差小于5％,表明了方法的有效性.
Digital Twins Prediction of Crack Growth Life for the Lap Joint Structure Combined with Guided Wave Monitoring Data
Requirements for the high performance and long service life of aircraft lead to the urgent need for a revolution against traditional structural design and maintenance strategies.In the theoretical framework of the digital twin,an online prediction method of crack growth life for the lap joint structure of aircraft is proposed.The digital twin of the physical structure and its surrogate model is established using the a priori crack growth rule and the finite element model.During the service of the structure,the active guided wave monitoring method is used to monitor the cracks of the actual lap joint structure online.Further,parameters of the crack growth rule of the lap joint structure are corrected by using Bayesian filtering,which is combined in the digital twin for predicting its fatigue crack growth life.The proposed method is validated on the fatigue test of lap joint structures in the aircraft skin.The root means square of the diagnosed crack length is 0.8 mm and the relative error of the predicted fatigue crack growth life is 5％after 80 000 loading cycles,showing the effectiveness of the method.

lap joint structurecrack extension life predictiondigital twinguided wave-based structural health monitoringBayesian filtering

陈健、孟义兴、袁慎芳、徐秋慧、王卉

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南京航空航天大学航空学院 南京 210016

搭接结构 裂纹扩展寿命预测 数字孪生 导波结构健康监测 贝叶斯滤波

国家自然科学基金创新群体国家自然科学基金青年国家自然科学基金面上江苏省自然科学基金青年江苏高校优势学科建设工程资助项目

519210035220516052275153BK20220874

2024

10.3901/JME.2024.16.034

机械工程学报
中国机械工程学会

机械工程学报

CSTPCD北大核心
影响因子：1.362
ISSN：0577-6686
年,卷(期)：2024.60(16)