2017
DOI: 10.1016/j.jcp.2017.08.032
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Monge–Ampére simulation of fourth order PDEs in two dimensions with application to elastic–electrostatic contact problems

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Cited by 6 publications
(4 citation statements)
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“…Various numerical techniques are frequently employed for this purpose, including the Galerkin finite element method (GFEM), 29 the finite difference method (FDM), [30][31][32][33] the compact finite-difference method, 34 and the adaptive mesh refinement method. [35][36][37][38][39][40] The adaptive mesh refinement method, in particular, stands out as a potent approach for efficiently tackling PDEs with a high degree of accuracy, making it especially valuable for simulating intricate and dynamic phenomena. For nonlinear PDEs, iteration techniques like the Newton-Raphson method, Picard iteration, or fixed-point iteration are commonly used to handle nonlinear terms.…”
Section: Introductionmentioning
confidence: 99%
“…Various numerical techniques are frequently employed for this purpose, including the Galerkin finite element method (GFEM), 29 the finite difference method (FDM), [30][31][32][33] the compact finite-difference method, 34 and the adaptive mesh refinement method. [35][36][37][38][39][40] The adaptive mesh refinement method, in particular, stands out as a potent approach for efficiently tackling PDEs with a high degree of accuracy, making it especially valuable for simulating intricate and dynamic phenomena. For nonlinear PDEs, iteration techniques like the Newton-Raphson method, Picard iteration, or fixed-point iteration are commonly used to handle nonlinear terms.…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, numerical methods are often required for solving nonlinear PDEs when analytical solutions are not feasible. Some commonly used numerical methods to solve nonlinear PDEs include the finite difference method (FDM) [8,9], the compact finite-difference method [10], the Galerkin finite element method (GFEM) [11], and the adaptive mesh refinement method, which is a powerful approach for efficiently solving PDEs while maintaining high accuracy, making it particularly valuable for simulations involving complex and dynamic phenomena [12][13][14][15][16], and more others [17][18][19]. The chosen method depends on the problem's nature, the desired accuracy, computational resources, and available software libraries.…”
Section: Introductionmentioning
confidence: 99%
“…In previous computational studies of singularity formation in second-order PDEs, moving mesh methods based on parabolic Monge-Ampére (PMA) discretization have been successfully employed in one-dimensional [8] or rectangular two-dimensional domains [6,7,9]. The PMA moving mesh approach has recently [10] been extended to the fourth-order PDE problem (1) by constructing a high regularity mapping between the computational and physical domains. The study [10] was based on a finite difference discretization of the PMA equation that restricted computations to rectangular domains.…”
mentioning
confidence: 99%
“…The PMA moving mesh approach has recently [10] been extended to the fourth-order PDE problem (1) by constructing a high regularity mapping between the computational and physical domains. The study [10] was based on a finite difference discretization of the PMA equation that restricted computations to rectangular domains. The main contribution of the present work is a robust adaptive numerical method that can resolve the singularities of (1) in general non-simply connected two-dimensional regions such as those utilized in real MEMS devices (cf.…”
mentioning
confidence: 99%