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