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A Neural Network Model for Prediction of Delamination in Composite Materials

عنوان مقاله: A Neural Network Model for Prediction of Delamination in Composite Materials
شناسه ملی مقاله: ELEMECHCONF03_0118
منتشر شده در سومین کنفرانس ملی و اولین کنفرانس بین المللی پژوهش هایی کاربردی در مهندسی برق، مکانیک و مکاترونیک در سال 1394
مشخصات نویسندگان مقاله:

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.

خلاصه مقاله:
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.

کلمات کلیدی:
Delamination, Composite materials, Neural network, Finite element model

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/478884/