Publications (1-4 of 4)

1. Constitutive modeling for time- and temperature-dependent behavior of composites

   out of 5 stars 

   08 Jan 2020 | Contributor(s):: Orzuri Rique, Xin Liu, Wenbin Yu, Byron Pipes

   Structural integrity, durability, and thermal stability represent critical areas for adequately modeling the behavior of composite materials. Polymeric matrices are prone to have time-dependent behavior very sensitive to changes in temperature that influence the effective properties of the...

2. Initial failure strength prediction of woven composites using a new yarn failure criterion constructed by deep learning

   out of 5 stars 

   05 Jun 2019 | Contributor(s):: Xin Liu, Federico Gasco, Johnathan Goodsell, Wenbin Yu

   A new failure criterion for fiber tows (i.e. yarns) is developed based on a micromechanical model using mechanics of structure genome (MSG) and deep learning neural network. The proposed failure criterion can be applied to yarns in mesoscale textile composites modeling while capturing the failure...

3. A Unified Approach for Thermoelastic Constitutive Modeling of Composite Structures

   out of 5 stars 

   07 Feb 2019 | Contributor(s):: Xin Liu, Wenbin Yu, Federico Gasco, Johnathan Goodsell

   Mechanics of structure genome (MSG) has been extended to provide a unified approach to predict the thermoelastic behaviors of composite structures. The variational statement of the MSG models has been modified to capture pointwise temperature distribution in composite structures. The effective...

4. Two-step homogenization of textile composites using mechanics of structure genome

   out of 5 stars 

   04 Apr 2017 | Contributor(s):: Xin Liu, Khizar Rouf, Bo Peng, Wenbin Yu

   Mechanics of structure genome is extended to provide a novel two-step homogenization approach to predicting the effective properties of textile composites. The first homogenization step (microhomogenization) deals with determining the effective properties of tows (yarns) from fiber and matrix...