A 1D Continuum Model for Beams with Pantographic Microstructure: Asymptotic Micro-Macro Identification and Numerical Results View Full Text


Ontology type: schema:Chapter     


Chapter Info

DATE

2018-02-28

AUTHORS

Emilio Barchiesi , Francesco dell’Isola , Marco Laudato , Luca Placidi , Pierre Seppecher

ABSTRACT

In the standard asymptotic micro-macro identification theory, starting from a De Saint-Venant cylinder, it is possible to prove that, in the asymptotic limit, only flexible, inextensible, beams can be obtained at the macro-level. In the present paper we address the following problem: is it possible to find a microstructure producing in the limit, after an asymptotic micro-macro identification procedure, a continuum macro-model of a beam which can be both extensible and flexible? We prove that under certain hypotheses, exploiting the peculiar features of a pantographic microstructure, this is possible. Among the most remarkable features of the resulting model we find that the deformation energy is not of second gradient type only because it depends, like in the Euler beam model, upon the Lagrangian curvature, i.e. the projection of the second gradient of the placement function upon the normal vector to the deformed line, but also because it depends upon the projection of the second gradient of the placement on the tangent vector to the deformed line, which is the elongation gradient. Thus, a richer set of boundary conditions can be prescribed for the pantographic beam model. Phase transition and elastic softening are exhibited as well. Using the resulting planar 1D continuum limit homogenized macro-model, by means of FEM analyses, we show some equilibrium shapes exhibiting highly non-standard features. Finally, we conceive that pantographic beams may be used as basic elements in double scale metamaterials to be designed in future. More... »

PAGES

43-74

Book

TITLE

Advances in Mechanics of Microstructured Media and Structures

ISBN

978-3-319-73693-8
978-3-319-73694-5

Identifiers

URI

http://scigraph.springernature.com/pub.10.1007/978-3-319-73694-5_4

DOI

http://dx.doi.org/10.1007/978-3-319-73694-5_4

DIMENSIONS

https://app.dimensions.ai/details/publication/pub.1101242685


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