Composite Materials Technology: Neural Network Applications
S.M. Sapuan, Iqbal Mohammed Mujtaba
CRC Press, Dec 23, 2009 - Technology & Engineering - 368 pages
Artificial neural networks (ANN) can provide new insight into the study of composite materials and can normally be combined with other artificial intelligence tools such as expert system, genetic algorithm, and fuzzy logic. Because research on this field is very new, there is only a limited amount of published literature on the subject.
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Chapter 2 Neural Network Approaches for Defect Detection in Composite Materials
Chapter 3 The Use of Artifical Neural Networks in Damage Detection and Assessment in Polymeric Composite Structures
Chapter 4 Damage Identification and Localization of Carbon FiberReinforced Plastic Composite Plate Using Outlier Analysis and Multiplayer Percept...
Chapter 7 Artifical Neural Networks for Predicting the Mechanical Behavior of CementBased Composites after 100 Cycles of Aging
Chapter 8 Fatigue Life Prediction of FiberReinforced Composites Using Artifical Neural Networks
Chapter 9 Optimizing Neural Network Prediction of Composite Fatigue Life Under Variable Amplitude Loading Using Bayesian Regularization
Chapter 10 Free Vibration Analysis and Optimal Design of the Adhesively Bounded Composite Single Lap and Tubular Lap Joints
Chapter 11 Determining Initial Design Parameters by Using Genetically Optimized Neural Network Systems
Chapter 12 Development of a Prototype Computational Framework for Selection of Natural FiberReinforced Polymer Composite Materials Using Ne...
Chapter 5 Damage Localization of Carbon FiberReinforced Plastic Composite and Perspex Plates Using Novelty Indices and the CrossValidation Set o...
Chapter 6 Impact Damage Detection in a Composite Structure Using Artifical Neural Network