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A Fatigue Crack Growth Prediction Method Based on Particle Filter
Received date: 2013-03-14
Revised date: 2013-07-31
Online published: 2013-09-04
Prognostics and health management systems in aircraft pose requirements for damage propagation prediction and structure residual life management. In this paper a method is proposed for predicting fatigue crack propagation based on the particle filter and structural health monitoring. First the crack-tip singular element mesh is generated by using ABAQUS_Python secondary development software and then the crack tip stress intensity factor range of different crack lengths and angles is calculated, while the two parameters Paris rules are used as the state equation of the particle filter, which is the damage propagation and life evolution model. By using the method of structural health monitoring based on piezoelectric elements and active Lamb waves, the state of the crack can be updated online, and combined with the particle filter, an observation equation is established. The experimental results show that the error of crack length after 20 000 load cycles is less than 2%. The method proposed in this paper can effectively predict crack propagation, and eliminate the error accumulated by Paris rule prediction and reduce various uncertainties in engineering application.
YUAN Shenfang , ZHANG Hua , QIU Lei , YANG Weibo . A Fatigue Crack Growth Prediction Method Based on Particle Filter[J]. ACTA AERONAUTICAET ASTRONAUTICA SINICA, 2013 , 34(12) : 2740 -2747 . DOI: 10.7527/S1000-6893.2013.0357
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