Technical Papers
Feb 2, 2024

Nonlinear Stability of Curved Multiphase Composite Panels: Influence of Agglomeration in Randomly Distributed Carbon Nanotubes with Nonuniform In-Plane Loads

Publication: Journal of Aerospace Engineering
Volume 37, Issue 3

Abstract

The nonlinear stability characteristics of doubly curved panels made of three-phase composites with randomly dispersed carbon nanotubes [randomly dispersed carbon nanotube reinforced fiber composites (RD-CNTRFC)] subjected to practically relevant nonuniform in-plane loads are investigated in this study. Carbon nanotubes (CNTs), when mixed with resin polymer, may give rise to bundles, termed as agglomerations, which can have a profound impact on the effective material properties. There exists a strong rationale to investigate the influence of such agglomeration on the nonlinear equilibrium path of panels, which can subsequently be included in the structural stability design process to enhance operational safety. A multistage, bottom-up numerical framework is developed here to probe the nonlinear stability characteristics. The effective material properties of RD-CNTRFC panels are determined using the Eshelby–Mori–Tanaka approach and the Chamis method of homogenization. By considering von Kármán nonlinearity and Reddy’s higher-order shear deformation theory, strain–displacement relations are established for the nonlinear stability analysis. The governing partial differential equations are simplified into nonlinear algebraic relations using Galerkin’s method. Subsequently, by reducing the stiffness matrix neglecting the nonlinear terms and solving the Eigenvalue problem, we obtain critical load and nonlinear stability path of shell panels based on the arc-length approach. In the present study, various shell geometries such as cylindrical, elliptical, spherical, and hyperbolic shapes are modeled along with the flat plate-like geometry to investigate the nonlinear equilibrium paths, wherein a geometry-dependent programmable softening and hardening behavior emerges.

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Data Availability Statement

Some or all data, models, or code generated or used during the study are available from the corresponding author by request.

Acknowledgments

SN and TM would like to acknowledge the initiation grant received from the University of Southampton during the period of this research work.

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Journal of Aerospace Engineering
Volume 37Issue 3May 2024

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Received: Jun 11, 2023
Accepted: Nov 7, 2023
Published online: Feb 2, 2024
Published in print: May 1, 2024
Discussion open until: Jul 2, 2024

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S. Chakraborty, Ph.D. [email protected]
Assistant Professor, Dept. of Civil Engineering, Alliance College of Engineering and Design, Alliance Univ., Anekal, Bengaluru, Karnataka 526106, India (corresponding author). Email: [email protected]
S. Naskar, Ph.D. [email protected]
Assistant Professor, Faculty of Engineering and Physical Sciences, Univ. of Southampton, Southampton S0171BJ, UK. Email: [email protected]
T. Dey, Ph.D. [email protected]
Associate Professor, Dept. of Civil Engineering, Indian Institute of Technology (Indian School of Mines) Dhanbad, Dhanbad, Jharkhand 826004, India. Email: [email protected]
R. Kumar, Ph.D. [email protected]
Assistant Professor, Dept. of Civil Engineering, Birla Institute of Technology and Science, Pilani, Rajasthan 333031, India. Email: [email protected]
T. Mukhopadhyay, Ph.D. [email protected]
Assistant Professor, Faculty of Engineering and Physical Sciences, Univ. of Southampton, Southampton S0171BJ, UK. Email: [email protected]

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