Probabilistic fatigue life prediction for adhesively bonded joints via surrogate model

2021 ◽  
Author(s):  
Karthik Reddy R. Lyathakula ◽  
Fuh-Gwo Yuan
Keyword(s):  
Fatigue Life ◽  
Surrogate Model ◽  
Life Prediction ◽  
Fatigue Life Prediction ◽  
Bonded Joints ◽  
Adhesively Bonded ◽  
Adhesively Bonded Joints

scholarly journals Reliability-Based Fatigue Life Prediction for Complex Structure with Time-Varying Surrogate Modeling

2018 ◽  
Vol 2018 ◽  
pp. 1-16 ◽  
Author(s):  
Lu-Kai Song ◽  
Guang-Chen Bai ◽  
Cheng-Wei Fei ◽  
Jie Wen
Keyword(s):  
Fatigue Life ◽  
Computational Efficiency ◽  
Surrogate Model ◽  
Life Prediction ◽  
Complex Structure ◽  
Fatigue Life Prediction ◽  
General Regression Neural Network ◽  
Time Varying ◽  
Computational Accuracy ◽  
Turbine Blisk

To improve the computational efficiency and accuracy of reliability-based fatigue life prediction for complex structure, a time-varying particle swarm optimization- (PSO-) based general regression neural network (GRNN) surrogate model (called as TV/PSO-GRNN) is developed. By integrating the proposed space-filling Latin hypercube sampling technique and PSO-GRNN regression function, the mathematical model of TV/PSO-GRNN is studied. The reliability-based fatigue life prediction framework is illustrated in respect of the TV/PSO-GRNN surrogate model. Moreover, the reliability-based fatigue life prediction of an aircraft turbine blisk under multiphysics interaction is performed to validate the TV/PSO-GRNN model. We obtain the distributional characteristics, reliability degree, and sensitivity degree of fatigue failure cycle, which are useful for the turbine blisk design. By comparing the direct simulation (FE/FV model), RSM, GRNN, PSO-GRNN, and TV/PSO-GRNN, we observe that the TV/PSO-GRNN surrogate model is promising to perform the reliability-based fatigue life prediction of the turbine blisk and enhance the computational efficiency while ensuring an acceptable computational accuracy. The efforts of this study offer a useful insight for the reliability-based design optimization of complex structure.

Predicting the Fatigue Life of Adhesively-Bonded Joints

1993 ◽  
Vol 43 (1-2) ◽  
pp. 79-90 ◽  
Author(s):  
A. J. Kinloch ◽  
S. O. Osiyemi
Keyword(s):  
Fatigue Life ◽  
Bonded Joints ◽  
Adhesively Bonded ◽  
Adhesively Bonded Joints
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