Parametric Identification of Carbon Nanotube Nanocomposites Constitutive Response

[+] Author and Article Information
Giovanni Formica

Department of Architecture, University of Roma Tre, Rome, Italy, 00185

Michela Taló

Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Rome, Italy, 00184

Giulia Lanzara

Department of Engineering, University of Roma Tre, Rome, Italy, 00146

Walter Lacarbonara

Department of Structural and Geotechnical Engineering, Sapienza University of Rome, Rome, 00184, Italy

1Corresponding author.

ASME doi:10.1115/1.4042137 History: Received August 02, 2018; Revised November 29, 2018


Hysteresis due to stick-slip energy dissipation in carbon nanotubes (CNT) nanocomposites is experimentally observed, measured and identified through a 1D phenomenological model obtained via reduction of a full 3D mesoscale model. The ensuing model is shown to describe well the nanocomposite hysteretic response which features the transition from the purely elastic to the post-stick-slip behavior characterized by the interfacial frictional sliding motion between the polymer chains and the CNTs. Sensitivity analyses shed light onto the physical meaning of each model parameter and the influence on the material constitutive response. The model parameters are determined by fitting the experimentally acquired force-displacement curves of CNT/polymer nanocomposites using a differential evolution algorithm. Nanocomposite beam-like samples made of a high performance engineering polymer and high aspect ratio CNTs are fabricated and tested in bending mode at increasing displacement amplitudes. The entire time histories of the restoring force are fitted by the model through a unique set of parameters. The parameters identification is carried out for nanocomposites with various CNTs weight fractions, so as to highlight the model capability to identify a large variety of nanocomposites hysteretic behaviors through a fine tuning of its constitutive parameters. By exploiting the proposed model, a multi-scale material model design and optimization are made possible towards the exploitation of these promising materials for engineering applications.

Copyright (c) 2018 by ASME
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