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This paper presents a multiscale modeling approach to simulating the self-sensing behavior of a load sensitive smart polymer material. A statistical spring-bead based network model is developed to bridge the

This paper presents a multiscale modeling approach to simulating the self-sensing behavior of a load sensitive smart polymer material. A statistical spring-bead based network model is developed to bridge the molecular dynamics simulations at the nanoscale and the finite element model at the macroscale. Parametric studies are conducted on the developed network model to investigate the effects of the thermoset crosslinking degree on the mechanical response of the self-sensing material.

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Date Created
  • 2015-08-01
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  • Text
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    Identifier
    • Digital object identifier: 10.1088/0964-1726/24/8/085022
    • Identifier Type
      International standard serial number
      Identifier Value
      0964-1726
    • Identifier Type
      International standard serial number
      Identifier Value
      1361-665X
    Note
    • Copyright IOP Publishing. This is the authors' final, peer-reviewed manuscript. Zhang, Jinjun, Koo, Bonsung, Liu, Yingtao, Zou, Jin, Chattopadhyay, Aditi, & Dai, Lenore (2015). A novel statistical spring-bead based network model for self-sensing smart polymer materials. SMART MATERIALS AND STRUCTURES, 24, 085022. The final version as published can be viewed online at http://dx.doi.org/10.1088/0964-1726/24/8/085022, opens in a new window

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    Zhang, Jinjun, Koo, Bonsung, Liu, Yingtao, Zou, Jin, Chattopadhyay, Aditi, & Dai, Lenore (2015). A novel statistical spring-bead based network model for self-sensing smart polymer materials. SMART MATERIALS AND STRUCTURES, 24, 085022. http://dx.doi.org/10.1088/0964-1726/24/8/085022

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