Statistical multiscale modeling of smart polymer materials using a spring-bead based network model

Jinjun Zhang, Bonsung Koo, Nithya Subramanian, Yingtao Liu, Aditi Chattopadhyay

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

This paper presents a multiscale approach for capturing the mechanical response of smart polymer materials. A spring-bead model is developed at the microscale based on results from molecular dynamics simulation to represent a bond cluster of polymer. Through parametric studies and mechanical equivalence optimization, a statistical network model is developed to represent the microstructure of the materials at the mesoscale. The introduction of the spring-bead based network model bridges the high accuracy molecular dynamics model at the microscale and the computationally efficient finite element model at the macroscale. A comparison between experimental and simulation results shows that the multiscale model is capable of capturing global mechanical response and local material properties.

Original languageEnglish (US)
Title of host publication55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference
DOIs
StatePublished - 2014
Event55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014 - National Harbor, MD, United States
Duration: Jan 13 2014Jan 17 2014

Other

Other55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014
CountryUnited States
CityNational Harbor, MD
Period1/13/141/17/14

Fingerprint

Polymers
Molecular dynamics
Dynamic models
Materials properties
Microstructure
Computer simulation

ASJC Scopus subject areas

  • Civil and Structural Engineering
  • Mechanics of Materials
  • Building and Construction
  • Architecture

Cite this

Zhang, J., Koo, B., Subramanian, N., Liu, Y., & Chattopadhyay, A. (2014). Statistical multiscale modeling of smart polymer materials using a spring-bead based network model. In 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference https://doi.org/10.2514/6.2014-1333

Statistical multiscale modeling of smart polymer materials using a spring-bead based network model. / Zhang, Jinjun; Koo, Bonsung; Subramanian, Nithya; Liu, Yingtao; Chattopadhyay, Aditi.

55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference. 2014.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zhang, J, Koo, B, Subramanian, N, Liu, Y & Chattopadhyay, A 2014, Statistical multiscale modeling of smart polymer materials using a spring-bead based network model. in 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference. 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference - SciTech Forum and Exposition 2014, National Harbor, MD, United States, 1/13/14. https://doi.org/10.2514/6.2014-1333
Zhang J, Koo B, Subramanian N, Liu Y, Chattopadhyay A. Statistical multiscale modeling of smart polymer materials using a spring-bead based network model. In 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference. 2014 https://doi.org/10.2514/6.2014-1333
Zhang, Jinjun ; Koo, Bonsung ; Subramanian, Nithya ; Liu, Yingtao ; Chattopadhyay, Aditi. / Statistical multiscale modeling of smart polymer materials using a spring-bead based network model. 55th AIAA/ASMe/ASCE/AHS/SC Structures, Structural Dynamics, and Materials Conference. 2014.
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