Failure strength prediction of unidirectional tensile coupons using acoustic emission peak amplitude and energy parameter with artificial neural networks

Composites Science and Technology

Volumn 69, Issue 7-8, 2009, Pages 1151-1155

  Sasikumar, T ^a   RajendraBoopathy, S ^b   Usha, K M ^c   Vasudev, E S ^c  

^a ANNA UNIVERSITY   (India)

^b ANNA UNIVERSITY   (India)

^c INDIAN SPACE RESEARCH ORGANISATION   (India)

Author keywords

B. Matrix cracking; D. Acoustic emission; D. Non destructive testing; Neural networks

Indexed keywords

AMPLITUDE FREQUENCIES; ARTIFICIAL NEURAL NETWORKS; B. MATRIX CRACKING; BACK PROPAGATION NEURAL NETWORKS; CARBON/EPOXY; CUMULATIVE ENERGIES; D. ACOUSTIC EMISSION; D. NON-DESTRUCTIVE TESTING; EMISSION PEAKS; ENERGY PARAMETERS; ERROR TOLERANCES; FAILURE LOADS; FAILURE STRENGTHS; FIBER FRACTURES; GOOD CORRELATIONS; INPUT AND OUTPUTS; MATRIXES; PEAK AMPLITUDES; PREDICTION ACCURACIES; TENSILE SPECIMENS; TEST SPECIMENS; TRAINING SETS; UNIVERSAL TESTING MACHINES;

ACOUSTIC EMISSION TESTING; ACOUSTIC EMISSIONS; ACOUSTICS; BACKPROPAGATION; FAILURE ANALYSIS; FITS AND TOLERANCES; FRACTURE; METALLIC MATRIX COMPOSITES; QUALITY ASSURANCE; TENSILE TESTING;

NEURAL NETWORKS;

FAILURE ANALYSIS; NEURAL NETWORK; PREDICTION; STRENGTH; TENSILE PROPERTY; TESTING;

EID: 65249173866     PISSN: 02663538     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compscitech.2009.02.014     Document Type: Article

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