Application of Adaptive Neuro-fuzzy Inference System (anfis) for Prediction of Constant Amplitude Fatigue Life of Aluminum Alloys under the Effect of R-ratio
نویسندگان
چکیده
The constant amplitude fatigue crack growth life is affected by load ratio which quantifies the influence of mean load. Several research works have been conducted to study the effect of load ratio on crack growth rate through deterministic approach. However, the application of artificial intelligence methods particularly adaptive neuro-fuzzy technique (ANFIS) is lacking. The current research presents a methodology to predict the constant amplitude loading fatigue life under the influence of load ratio by developing an ANFIS model. The model result has been verified on 2024 T3 aluminum alloy and observed that it is better in comparison to simple ANN model. Key-words: Adaptive neuro-fuzzy inference system (ANFIS); Fatigue crack growth rate; root mean square error (RMSE)
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