Application of Improved Failure Mode Recognition Algorithms and GM(1,1) Model on Fatigue Lifetime Prediction of Truss Structure

摘要

In this paper, a fatigue lifetime prediction method of the hyper-static truss structure is established based on the improved failure mode recognition al?orithms and GM(1,1) model In the improved Failure Mode Recognition Algorithms(FMRA), a second-order logarithmic is chosen to assure choice of the Control Ambit Parameter(CAP) in the precision interval and a critical failure internal stress criterion is used to improve the efficiency of FMRA. Subsequently, by comparing the equation formula between the GM(1,1) model and the Weibull three-parameter distribution function, a new parameter estimation method of the Weibull distribution is developed to determine three parameters. The fatigue lifetime with varying levels of reliability is calculated on the basis of the Weibull distribution. Finally, a numerical example of the 10-bar truss structure was used to prove the validity of the fatigue lifetime prediction method.