Well-posed nonlocal elasticity model for finite domains and its application to the mechanical behavior of nanorods
- 1. Shiraz University. School of Mechanical Engineering (Iran, Islamic Republic of)
Description
Eringen's nonlocal elasticity theory is one of the most attractive approaches to investigate the intrinsic scale effect of nanoscopic structures. Eringen proposed both integral and differential nonlocal models which are equivalent to each other over unbounded continuous domains. Although the Eringen nonlocal models can be used as very useful tools for modeling the mechanical characteristics of nanoscopic structures, however, several researchers have reported some paradoxical results when they used the nonlocal differential model. In this paper, we develop a well-posed nonlocal differential model for finite domains, and its applicability to predict the static and dynamic behavior of a nanorod is investigated. It is shown that the proposed integral and differential nonlocal models are equivalent to each other over bounded continuous domains, and the corresponding elastic problems are well-posed and consistent. In addition, some paradigmatic static problems are solved the and we show that the paradoxical results disappear by using the present model.
Additional details
Identifiers
Publishing Information
- Journal Title
- Acta Mechanica
- Journal Volume
- 231
- Journal Issue
- 10
- Journal Page Range
- p. 4019-4033
- ISSN
- 0001-5970
- CODEN
- AMHCAP
INIS
- Country of Publication
- Austria
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 55056238
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING; S77: NANOSCIENCE AND NANOTECHNOLOGY;
- Descriptors DEI
- CONTINUED FRACTIONS; DYNAMICAL SYSTEMS; DYNAMICS; ELASTICITY; EVOLUTION EQUATIONS; INTEGRALS; LAPLACE EQUATION; MATHEMATICAL EVOLUTION; NANOSTRUCTURES; SIMULATION; TOOLS
- Descriptors DEC
- DIFFERENTIAL EQUATIONS; EQUATIONS; EQUIPMENT; EVOLUTION; MECHANICAL PROPERTIES; MECHANICS; PARTIAL DIFFERENTIAL EQUATIONS
Optional Information
- Copyright
- Copyright (c) 2020 © Springer-Verlag GmbH Austria, part of Springer Nature 2020