A predictive multiscale computational framework for viscoelastic properties of polymeric materials

【报告题目】A predictive multiscale computational framework for 
　　　　　  viscoelastic properties of polymeric materials
【报 告 人】李颖博士
　　　　　  美国西北大学理论与应用力学系

【时　  间】2013年12月19日上午9:30
【地　  点】力学一楼二楼小会议室 (227)

报告摘要：

　 A predictive multiscale computational framework has been proposed to study the viscoelastic properties of polymeric materials. In this method, the different scales are crossed by using different bridging laws, which enable us to directly predict the viscoelastic properties of polymeric 
materials using a bottom-up approach. Our predicted dynamic moduli, zero-rate shear viscosities, and relaxation moduli of polyisoprene and polyethylene polymers are found to be in excellent agreement with experimental results. The proposed multiscale computational framework can also be naturally 
extended to the finite deformation regime. Both the tube diameter and primitive chain length are found to increase with deformation, which enhances the viscous energy dissipation of polymers under extremely large deformations. To the authors' knowledge,this is the first work in which a multiscale 
computational framework has been proposed to predict the viscoelastic properties of entangled polymeric materials from the molecular level.　

报告人简介：

  Dr. Ying Li’s research interests include, but not limit to multiscale computational mechanics and nano mechanics. He has published 30+ articles in leading journals, including Physical Review Letters, Carbon and Polymer.