Published April 2019 | Version v1
Journal article

Deep postbuckling and nonlinear bending behaviors of nanobeams with nonlocal and strain gradient effects

  • 1. Southwest Jiaotong University, School of Mechanics and Engineering (China)

Description

In this paper, multi-scale modeling for nanobeams with large deflection is conducted in the framework of the nonlocal strain gradient theory and the Euler-Bernoulli beam theory with exact bending curvature. The proposed size-dependent nonlinear beam model incorporates structure-foundation interaction along with two small scale parameters which describe the stiffness-softening and stiffness-hardening size effects of nanomaterials, respectively. By applying Hamilton's principle, the motion equation and the associated boundary condition are derived. A two-step perturbation method is introduced to handle the deep postbuckling and nonlinear bending problems of nanobeams analytically. Afterwards, the influence of geometrical, material, and elastic foundation parameters on the nonlinear mechanical behaviors of nanobeams is discussed. Numerical results show that the stability and precision of the perturbation solutions can be guaranteed, and the two types of size effects become increasingly important as the slenderness ratio increases. Moreover, the in-plane conditions and the high-order nonlinear terms appearing in the bending curvature expression play an important role in the nonlinear behaviors of nanobeams as the maximum deflection increases.

Additional details

Identifiers

Publishing Information

Journal Title
Applied Mathematics and Mechanics
Journal Volume
40
Journal Issue
4
Journal Page Range
p. 515-548
ISSN
0253-4827

INIS

Country of Publication
China
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
54072441
Subject category
S77: NANOSCIENCE AND NANOTECHNOLOGY; S97: MATHEMATICAL METHODS AND COMPUTING;
Descriptors DEI
BOUNDARY CONDITIONS; COMPUTERIZED SIMULATION; NANOMATERIALS; NONLINEAR PROBLEMS; PERTURBATION THEORY
Descriptors DEC
MATERIALS; SIMULATION

Optional Information

Copyright
Copyright (c) 2019 Shanghai University and Springer-Verlag GmbH Germany, part of Springer Nature