Department of Mechanics: Seminar: Abstract Doskar 2020: Difference between revisions

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===== References =====
===== References =====
# Ameen, M.M., Rokoš, O., Peerlings, R.H.J., and Geers, M.G.D. (2018). [https://doi.org/10.1016/j.mechmat.2018.05.011 Size effects in nonlinear periodic materials exhibiting reversible pattern transformations]. Mechanics of Materials 124, 55–70.
# Werner, B., Ovesy, M. & Zysset, P.K., 2019. [http://dx.doi.org/10.1002/cnm.3188 An explicit micro‐FE approach to investigate the post‐yield behaviour of trabecular bone under large deformations]. International Journal for Numerical Methods in Biomedical Engineering, 35(5), p.e3188
# Rokoš, O., Ameen, M.M., Peerlings, R.H.J., and Geers, M.G.D. (2019). [https://doi.org/10.1016/j.jmps.2018.08.019 Micromorphic computational homogenization for mechanical metamaterials with patterning fluctuation fields]. Journal of the Mechanics and Physics of Solids 123, 119–137.
# Rokoš, O., Ameen, M.M., Peerlings, R.H.J., and Geers, M.G.D. (2020a). [https://doi.org/10.1016/j.eml.2020.100708 Extended micromorphic computational homogenization for mechanical metamaterials exhibiting multiple geometric pattern transformations]. Extreme Mechanics Letters 37, 100708.
# Rokoš, O., Zeman, J., Doškář, M., and Krysl, P. (2020b). [https://dx.doi.org/10.1186/s40323-020-00152-7 Reduced integration schemes in micromorphic computational homogenization of elastomeric mechanical metamaterials]. Advanced Modeling and Simulation in Engineering Sciences 7, 19.
# Bree, S.E.H.M., Rokoš, O., Peerlings, R.H.J., Doškář, M., Geers, M.G.D. A Newton solver for micromorphic computational homogenization enabling multiscale buckling analysis of pattern-transforming metamaterials. Under review.
# Sperling, S.O., Rokoš, O., Ameen, M.M., Peerlings, R.H.J., Kouznetsova, V.G., and Geers, M.G.D. Enriched Computational Homogenization Schemes Applied to Pattern-Transforming Elastomeric Mechanical Metamaterials. In preparation.

Revision as of 14:40, 15 June 2021

Micromorphic model for mechanical metamaterials

Martin Doškář, Open Mechanics group, Department of Mechanics, Faculty of Civil Engineering, CTU in Prague

Metamaterials, with their internal composition carefully designed to feature exotic and often counterintuitive properties such as cloaking or band gaps, are the prime example of a pronounced influence of material’s microstructure on its macroscopic response. Regarding mechanical responses, metamaterials have already delivered high stiffness-to-weight ratio, negative compressibility, and tunable auxetic behaviour. These mechanical metamaterials often rely on internal instability mechanisms that trigger transformation of their periodic microstructure into predefined patterns, which introduces strong kinematic coupling among adjacent periodic metamaterial cells and leads to significant size and boundary effects. As a result, the standard first-order computational homogenization fails to provide an effective model of such metamaterials.

This talk presents a micromorphic computational homogenization scheme that has been recently developed specifically for the instability-driven mechanical metamaterials. The scheme introduces characteristic deformation patterns at microscale, whose magnitudes are communicated across adjacent macroscopic material points by scalar modulation fields, which are added to the standard continuum formulation at the macroscale and for which an additional micromorphic-like conservation law emerges at macroscale. Consequently, the presented scheme captures the above-mentioned size effect and boundary layers and accounts for with spatial mixing of multiple patterns. Combined with the bifurcation analysis, the scheme also correctly predicts local to global (i.e. micro vs. macro) buckling transitions.

Keywords: Mechanical metamaterials, computational homogenization, micromorphic continuum

References
  1. Werner, B., Ovesy, M. & Zysset, P.K., 2019. An explicit micro‐FE approach to investigate the post‐yield behaviour of trabecular bone under large deformations. International Journal for Numerical Methods in Biomedical Engineering, 35(5), p.e3188
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