Initial failure strength prediction of woven composites using a new yarn failure criterion constructed by deep learning
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...
A Unified Approach for Thermoelastic Constitutive Modeling of Composite Structures
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...
Multiscale analysis of multilayer printed circuit board using Mechanics of Structure Genome
23 Jan 2019 | Contributor(s):: Fei Tao, Xiuqi Lyu, Xin Liu, Wenbin Yu
The structure of Printed Circuit board (PCB) is very complicated because it consists of woven composites and custom defined conducting layers. To improve the reliability of PCB, it is critical to predict the constitutive relations accurately. This study by implementing Mechanics of Structure...