Burst pressure prediction in graphite/epoxy pressure vessels using neural networks and acoustic emission amplitude data

Materials Evaluation

Volumn 54, Issue 6, 1996, Pages 744-754

  Hill, Eric V K ^a,d,e   Walker II, James L ^b,d,f   Rowell, Ginger H ^c,f,g  

^a Advanced Dynamics and Control Laboratory   (United States)

^b Dept of Mech and Aerosp Eng ^*  (United States)

^c LANDER UNIVERSITY   (United States)

^d EMBRY RIDDLE AERONAUTICAL UNIVERSITY   (United States)

^e UNIVERSITY OF OKLAHOMA   (United States)

^f UNIVERSITY OF ALABAMA IN HUNTSVILLE   (United States)

^g BIRMINGHAM SOUTHERN COLLEGE   (United States)

Author keywords

Acoustic emission; Amplitude distribution; Back propagation; Burst pressure prediction; Composite material; Failure mechanism; Graphite epoxy; Neural network; Nondestructive evaluation; Pressure vessel

Indexed keywords

ACOUSTIC EMISSION TESTING; ASTM STANDARDS; BACKPROPAGATION; FORECASTING; GRAPHITE; PRESSURE VESSELS; RESINS; ACOUSTIC EMISSIONS; COMPOSITE MATERIALS; EPOXY RESINS; FAILURE (MECHANICAL); MATHEMATICAL MODELS; NEURAL NETWORKS; NONDESTRUCTIVE EXAMINATION;

ACOUSTIC-EMISSIONS; AMPLITUDE DISTRIBUTIONS; BACK PROPAGATION; BURST PRESSURE PREDICTION; BURST PRESSURES; COMPOSITES MATERIAL; FAILURE MECHANISM; GRAPHITE EPOXY; NEURAL-NETWORKS; NON DESTRUCTIVE EVALUATION; PRESSURE PREDICTIONS;

NEURAL NETWORKS; PRESSURE VESSELS;

ACOUSTIC EMISSION AMPLITUDE DATA; BACK PROPAGATION NEURAL NETWORK; BURST PRESSURE PREDICTION; FAILURE MECHANISM; STRUCTURAL INTEGRITY;

EID: 5344234496     PISSN: 00255327     EISSN: None     Source Type: Trade Journal    
DOI: None     Document Type: Article

References (12)

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