2019
DOI: 10.1007/s00707-018-2345-6
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Coupling effect of surface energy and dispersion forces on nonlinear size-dependent pull-in instability of functionally graded micro-/nanoswitches

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Cited by 21 publications
(6 citation statements)
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“…Gurtin and Murdoch ([23,24]) proposed a surface elasticity theory to approximate the contribution of surface energy by assuming an elastic body with elastic surface layers of zero thickness that is perfectly bonded to the surface of the bulk continuum. The Gurtin and Murdoch surface elasticity theory (GM-SET) has been successfully employed in conjunction with the other nonclassical continuum theories in the analysis of homogeneous and one-dimensional FG structures, i.e., GM-SET combined with the DNET ( [47][48][49]), GM-SET combined with the SGT ( [50]), GM-SET combined with the DNSGT ( [51]), GM-SET combined with the MCST ( [52][53][54][55][56][57][58][59][60][61][62][63][64]), and GM-SET combined with the MCST in the framework of DNET ( [65,66]). Based on these studies, it has been shown that incorporating the influence of surface energy may show a stiffness-hardening or stiffness-softening of the studied nanostructures depending on whether the signs of the surface elastic constants are positive or negative.…”
Section: Introductionmentioning
confidence: 99%
“…Gurtin and Murdoch ([23,24]) proposed a surface elasticity theory to approximate the contribution of surface energy by assuming an elastic body with elastic surface layers of zero thickness that is perfectly bonded to the surface of the bulk continuum. The Gurtin and Murdoch surface elasticity theory (GM-SET) has been successfully employed in conjunction with the other nonclassical continuum theories in the analysis of homogeneous and one-dimensional FG structures, i.e., GM-SET combined with the DNET ( [47][48][49]), GM-SET combined with the SGT ( [50]), GM-SET combined with the DNSGT ( [51]), GM-SET combined with the MCST ( [52][53][54][55][56][57][58][59][60][61][62][63][64]), and GM-SET combined with the MCST in the framework of DNET ( [65,66]). Based on these studies, it has been shown that incorporating the influence of surface energy may show a stiffness-hardening or stiffness-softening of the studied nanostructures depending on whether the signs of the surface elastic constants are positive or negative.…”
Section: Introductionmentioning
confidence: 99%
“…So, it transforms the differential equations into a set of analogous algebraic equations in terms of the unknown function values at the discrete set of points in the problem domain. DQM has been widely applied in many areas of engineering and science 50–55 . In fact, DQM belongs to the spectral and pseudospectral methods; the DQM is identical to the Chebyshev collocation method whenever the grid points are chosen to be the same for both methods 49 .…”
Section: Introductionmentioning
confidence: 99%
“…DQM has been widely applied in many areas of engineering and science. [50][51][52][53][54][55] In fact, DQM belongs to the spectral and pseudospectral methods; the DQM is identical to the Chebyshev collocation method whenever the grid points are chosen to be the same for both methods. 49 The main advantage of DQM is its capability of producing highly accurate solutions with minimal computational effort especially when the method is applied to problems with globally smooth solutions.…”
Section: Introductionmentioning
confidence: 99%
“…The advantage of the differential quadrature method appears when it is used to solve boundaryvalue, initial-value, linear or nonlinear differential equations that DQM requires fewer grid points to obtain acceptable accuracy unlike finite difference method (FDM), finite element method (FEM) and finite volume method (FVM) which may need more number of grid points to obtain the solution. The authors in [41][42][43] succeeded to develop the DQM to solve problems that have an integral term in its differential equation by merging a new integrating matrix operator in the method and obtained differential integral quadrature method (DIQM). Also, by applying DIQM to other applications like nano-beams [44][45][46][47], it succeeds to obtain accurate solutions.…”
Section: Introductionmentioning
confidence: 99%