TY - GEN
T1 - Atomistically informed method of cells based multiscale approach for analysis of CFRP composites
AU - Rai, Ashwin
AU - Subramanian, Nithya
AU - Chattopadhyay, Aditi
N1 - Funding Information:
This research is supported by the Office of Naval Research (ONR), Grant number: N00014-14-1-0068. The program manager is Mr. William Nickerson.
Publisher Copyright:
Copyright © 2016 by ASME.
PY - 2016
Y1 - 2016
N2 - In this paper a multiscale-modeling framework is presented wherein fundamental damage information at the atomic level is coupled with a sectional micromechanics model for the nonlinear and damage analysis of carbon fiber reinforced polymer (CFRP) composites. Damage information in the polymer matrix originating from the atomic scale, as investigated using molecular dynamics (MD) simulations, is transferred to the continuum length scale using a continuum damage mechanics approach with a physical damage evolution equation. Such a framework is shown to be computationally efficient for the linear and damage analysis of CFRP composites and reasonably accurate when compared to experimental data and verified models in literature. Furthermore, material uncertainty, such as curing degree variation in polymers, can be computationally calculated leading to a computational stochastic analysis of the CFRP composites. Thus, such a framework can be used to investigate the damage mechanics of ply level CFRP components at the nano, micro and macro length scales.
AB - In this paper a multiscale-modeling framework is presented wherein fundamental damage information at the atomic level is coupled with a sectional micromechanics model for the nonlinear and damage analysis of carbon fiber reinforced polymer (CFRP) composites. Damage information in the polymer matrix originating from the atomic scale, as investigated using molecular dynamics (MD) simulations, is transferred to the continuum length scale using a continuum damage mechanics approach with a physical damage evolution equation. Such a framework is shown to be computationally efficient for the linear and damage analysis of CFRP composites and reasonably accurate when compared to experimental data and verified models in literature. Furthermore, material uncertainty, such as curing degree variation in polymers, can be computationally calculated leading to a computational stochastic analysis of the CFRP composites. Thus, such a framework can be used to investigate the damage mechanics of ply level CFRP components at the nano, micro and macro length scales.
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U2 - 10.1115/IMECE201665447
DO - 10.1115/IMECE201665447
M3 - Conference contribution
AN - SCOPUS:85021669154
T3 - ASME International Mechanical Engineering Congress and Exposition, Proceedings (IMECE)
BT - Advances in Aerospace Technology
PB - American Society of Mechanical Engineers (ASME)
T2 - ASME 2016 International Mechanical Engineering Congress and Exposition, IMECE 2016
Y2 - 11 November 2016 through 17 November 2016
ER -