Title of article
Prediction of mode-I overload-induced fatigue crack growth rates using neuro-fuzzy approach
Author/Authors
Mohanty، نويسنده , , J.R. and Verma، نويسنده , , B.B. and Ray، نويسنده , , P.K. and Parhi، نويسنده , , D.R.K.، نويسنده ,
Issue Information
روزنامه با شماره پیاپی سال 2010
Pages
13
From page
3075
To page
3087
Abstract
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 has been assessed by adopting adaptive neuro-fuzzy inference system (ANFIS), a novel soft-computing approach, suitable for non-linear, noisy and complex problems like fatigue. The proposed model has proved its efficiency quite satisfactorily compared to authors’ previously proposed ‘Exponential Model’, when tested on both the alloys.
Keywords
Adaptive network , Delay cycle , Fatigue life , Adaptive neuro-fuzzy inference system , Exponential model , Fatigue crack growth rate , Retardation parameters
Journal title
Expert Systems with Applications
Serial Year
2010
Journal title
Expert Systems with Applications
Record number
2347666
Link To Document