Application of artificial neural network for fatigue life prediction under interspersed mode-I spike overload

Journal of Testing and Evaluation

Volumn 38, Issue 2, 2010, Pages

  Mohanty, R ^a   Verma, B B ^a   Ray, P K ^a   Parhi, D R K ^a  

^a NATIONAL INSTITUTE OF TECHNOLOGY   (India)

Author keywords

Artificial neural network; Multi layer perceptron; Overload ratio; Retardation parameters

Indexed keywords

2024-T3; ARTIFICIAL NEURAL NETWORK; CONSTANT AMPLITUDE LOADING; EXPERIMENTAL DATA; FATIGUE LIFE; FATIGUE LIFE PREDICTION; FATIGUE-CRACK-GROWTH TESTS; INPUT DATAS; LOADING CONDITION; MAXIMUM ERROR; MODEL RESULTS; MULTI LAYER PERCEPTRON; OVERLOAD RATIO; SINGLE EDGE NOTCH TENSIONS; TRAINING SETS;

CRACKS; FATIGUE CRACK PROPAGATION; FATIGUE OF MATERIALS; FORECASTING;

NEURAL NETWORKS;

EID: 77953244050     PISSN: 00903973     EISSN: None     Source Type: Journal    
DOI: 10.1520/JTE101907     Document Type: Article

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