2005
DOI: 10.1016/j.cma.2005.01.002
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Two aggregate-function-based algorithms for analysis of 3D frictional contact by linear complementarity problem formulation

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Cited by 20 publications
(15 citation statements)
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“…(40) with high efficiency. Details of this algorithm can be referred to [15] and will not be elaborated here. The edges of the explicit FDTD grid are updated using the FDTD scheme.…”
Section: Coupling Between the Nonlinear Fetd And Fdtd Methodsmentioning
confidence: 99%
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“…(40) with high efficiency. Details of this algorithm can be referred to [15] and will not be elaborated here. The edges of the explicit FDTD grid are updated using the FDTD scheme.…”
Section: Coupling Between the Nonlinear Fetd And Fdtd Methodsmentioning
confidence: 99%
“…Several highly efficient computational methods [14][15][16] from computational mathematics can be used to solve the final quadratic programming model. Therefore, the iterative process in each time step is avoided in the proposed method.…”
Section: Nonlinear Dg-fetd Formulationmentioning
confidence: 99%
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“…Based on the work by Zhong et al (1997), Zhong and Zhang (2002) and Zhang et al (2004Zhang et al ( , 2005a, a generalized parametric constitutive law for the simulation of van der Waals force between any two adjacent atoms and the improved quadratic programming method for numerical simulation of mechanical behaviors of nanostructures are developed. It should be emphasized that the proposed method does not depend on displacement and stress iteration, but on the base exchanges in the solution of a standard quadratic programming problem.…”
Section: Introductionmentioning
confidence: 99%
“…Therefore, at every time step, the tension or compression state of every dropper must be determined. PVP proposed by Zhong and Zhang [27] has been proved to be advantageous for convergence for certain strong nonlinear numerical analyses, such as contact and piecewise linear analyses [29][30][31]. Therefore, in this paper, the nonlinear droppers are described by PVP, which converts the nonlinear problem to a linear complementarity problem.…”
Section: Pvp For the Nonlinear Droppermentioning
confidence: 99%