کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
7961723 1513930 2013 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Modeling of fiber pull-out in continuous fiber reinforced ceramic composites using finite element method and artificial neural networks
ترجمه فارسی عنوان
مدل سازی فیبر کشویی در کامپوزیت های سرامیکی تقویت شده فیبر با استفاده از روش عناصر محدود و شبکه های عصبی مصنوعی
کلمات کلیدی
تک فیبر کشویی، رابط فیبر / ماتریس، مدل آسیب مخفی مدل عنصر محدود شبکه های عصبی مصنوعی،
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی مکانیک محاسباتی
چکیده انگلیسی
Finite element models for the debonding of a silicon carbide fiber (SiCf) embedded in silicon carbide matrix (SiC) are developed and analyzed. An axi-symmetric finite element model is developed to simulate the single fiber pull-out process and predict the load-displacement behavior in terms of fiber/matrix interface properties. A two-parameter cohesive damage modeling approach is coupled with a finite element model to simulate crack propagation during a fiber pull-out event. Effects of residual compressive stress acting across the fiber/matrix interface, and residual axial strain in the fiber, on fiber pull-out behavior are investigated. Poisson contraction of the fiber, which reduces resultant radial compressive stresses at the interface and interfacial frictional stress, is taken into consideration. Parametric studies are conducted to evaluate the effects of thickness of specimen, friction coefficient, interface toughness, and residual stresses, on load-displacement behavior. An artificial neural network model using a backpropagation algorithm is proposed to mimic the fiber pull-out and also approximate load-displacement behavior. A multilayer perceptron utilizing a nonlinear activation function is implemented in the neural network model. Analytical modeling and finite element models are used to train and test the proposed neural network model. The developed finite element and neural network models are validated using existing analytical models from the technical literature.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Computational Materials Science - Volume 79, November 2013, Pages 663-673
نویسندگان
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