A Neural Network Model for Prediction of Delamination in Composite Materials
Publish place: Third National Conference and First International Conference on Applied Research in Electrical, Mechanical and Mechatronics Engineering
Publish Year: 1394
Type: Conference paper
Language: English
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ELEMECHCONF03_0118
Index date: 30 July 2016
A Neural Network Model for Prediction of Delamination in Composite Materials abstract
We have developed an artificial neural network model (ANN) to investigate the crack propagation in composite materials. First, a finite element (FE) model is developed, to simulate the delamination in composite structures under mode I loading. The FE model is validated by comparing the load-displacement response with experimental results. A series of mode I simulations are performed, where the crack initiation force is evaluated for different specimens. This data-base is used later to develop a multilayer neural network, which is capable of predicting the stress initiation force for arbitrary initial crack lengths and specimen thicknesses. The ANN results verify the good performance of this model.
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A Neural Network Model for Prediction of Delamination in Composite Materials authors
Zohreh Ebrahimi
Assistant Professr, Department of Mechanical Engineering, Payame Noor University, PO BOX ۱۹۳۹۵-۳۶۹۷ Tehran, Iran
M. Bahrami Rahnama
MSc. Student, Department of Mechanical Engineering, Payame Noor University, PO BOX ۱۹۳۹۵-۳۶۹۷ Tehran, Iran
Hosein Ebrahimi
Department of Metallurgical Engineering, Sharif University of Technology, Tehran, Iran.
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