Prediction of mode-I overload-induced fatigue crack growth rates using neuro-fuzzy approach
作者： J.R. Mohanty , B.B. Verma , P.K. Ray , D.R.K. Parhi
DOI: 10.1016/J.ESWA.2009.09.022
关键词:
摘要: A methodology has been developed to predict fatigue crack propagation life of 7020 T7 and 2024 T3 aluminum alloys under constant amplitude loading interspersed with mode-I spike overload. It assessed by adopting adaptive neuro-fuzzy inference system (ANFIS), a novel soft-computing approach, suitable for non-linear, noisy complex problems like fatigue. The proposed model proved its efficiency quite satisfactorily compared authors' previously 'Exponential Model', when tested on both the alloys.
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