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    Predicting the Fatigue Life of Repaired Specimens by Composite Patch Exposed to Corrosive Environments Using Artificial Neural Network and Finite Element Method

    , M.Sc. Thesis Sharif University of Technology Bakhshiyan, Amir Hossein (Author) ; Farrahi, Gholamhossein (Supervisor)
    Abstract
    In this research, the application of composite patch in the repair of pipes damaged by corrosion has been investigated. Numerical modeling, artificial neural network and Taguchi algorithm are used for this purpose. In the numerical modeling section, the accuracy of modeling performance has been verified by experimental results of other researchers. Then, the effect of various parameters such as depth and, angle of corroded area, fiber orientation in the composite patch and angle of composite patch have been investigated. The depth and the angle of the corroded area and the angle of orientation of the fiber have been shown to have a large effect on the growth life of fatigue cracks. For...