Ries M, Weber F, Striegel M, Steinmann P, Pfaller S (2021)
Publication Type: Conference contribution
Publication year: 2021
Book Volume: 300
Conference Proceedings Title: Multiscale and Multiphysics Systems, 2021
DOI: 10.23967/wccm-eccomas.2020.214
Polymers have become increasingly essential to cope with modern engineering challenges. To better understand their microstructure's influence, multi-scale approaches that couple molecular dynamics and continuum mechanics are emerging progressively. However, these simulation techniques require detailed knowledge of the material behavior, which is commonly derived from molecular dynamics simulations. Reducing the degrees of freedom by coarse graining enables the investigation of sufficiently large samples and thus we focus on coarse-grained (CG) polystyrene as a model material. The goal of this contribution is two-fold: Firstly, we identify the minimum sample size necessary to analyze the mechanical properties. Secondly, we quantify the influence of chain length on the material behavior of polystyrene. To this end, we investigate density, end-to-end distance, stress-strain behavior, Young's modulus, and Poisson's ratio. In conclusion, we were able to verify that we can use significantly smaller samples for our investigations without affecting their structure or mechanical behavior. The chain length has a drastic influence on the mechanical properties, with a loss of stiffness in the range of 15 % for very short-chain specimens.
APA:
Ries, M., Weber, F., Striegel, M., Steinmann, P., & Pfaller, S. (2021). Multiscale FE-MD Coupling: Influence of the Chain Length on the Mechanical Behavior of Coarse-Grained Polystyrene. In F. Chinesta, R. Abgrall, O. Allix and M. Kaliske (Eds.), Multiscale and Multiphysics Systems, 2021.
MLA:
Ries, Maximilian, et al. "Multiscale FE-MD Coupling: Influence of the Chain Length on the Mechanical Behavior of Coarse-Grained Polystyrene." Proceedings of the 14th World Congress on Computational Mechanics (WCCM) Ed. F. Chinesta, R. Abgrall, O. Allix and M. Kaliske, 2021.
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