Journal Article10.1016/J.ENGANABOUND.2021.06.022
A meshless generalized finite difference method for solving shallow water equations with the flux limiter technique
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TL;DR: In this article, a meshless stable numerical solver is proposed to solve the non-conservative form of shallow water equations, where discontinuous solutions are allowed to transmit during the simulation, and the upwinding spatial derivatives can be approximated at every node using the half-disk shape of the star and generalized finite difference method.
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Abstract: In this study, a novel meshless stable numerical solver is proposed to solve the non-conservative form of shallow water equations. Since they form a hyperbolic system of equations, discontinuous solutions are allowed to transmit during the simulation. The generalized finite difference-split coefficient matrix method, recently proposed, is applied and improved using the flux limiter to eliminate the possible-appearing numerical oscillations. In the proposed scheme, the split-coefficient matrix method is adopted to convert the shallow water equations to the characteristic form. Then, the generalized finite difference method and the second-order Runge-Kutta method are employed for spatial and temporal discretization, respectively. The upwinding spatial derivatives can be approximated at every node using the half-disk shape of the star and generalized finite difference method. Applying the flux limiter technique, the expressions can automatically switch the proper discrete order when facing discontinuous solutions. Although the limiter function required the derivatives of different orders, the generalized finite difference method can solve these necessary expressions using the first- and second-order Tayler series. Several numerical examples are provided to demonstrate the capability of the proposed scheme, and the results are compared with other numerical schemes to show the effectiveness of the proposed generalized finite difference-flux limiter method.
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Citations
Theoretical analysis of the generalized finite difference method
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TL;DR: The generalized finite difference method (GFDM) as discussed by the authors is a typical meshless collocation method based on the Taylor series expansion and the moving least squares technique, and the theoretical results of the meshless function approximation in the GFDM are studied theoretically, and a stabilized approximation is proposed by revising the computational formulas of the original approximation.
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The space-time generalized finite difference scheme for solving the nonlinear equal-width equation in the long-time simulation
TL;DR: In this paper , the space-time coupled generalized finite difference method (GFDM) was extended to cooperate with the Newton-Raphson and time-marching methods for stably solving the nonlinear equal-width equation in long-time simulation.
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An upwind generalized finite difference method (GFDM) for meshless analysis of heat and mass transfer in porous media
V. G. Plekhanov
- 06 Sep 2022
TL;DR: In this paper , an upwind GFDM is developed for coupled heat and mass transfer problems in porous media, which can obtain the difference schemes of spatial derivatives by using Taylor expansion in local node influence domains and the weighted least squares method.
A meshless method based on the generalized finite difference method for three-dimensional elliptic interface problems
Qiushuo Qin,Lina Song,Fan Liu +2 more
TL;DR: In this article , a meshless method is proposed to solve the three-dimensional elliptic interface problem, which is based on the generalized finite difference method, which expresses the derivatives of unknown variables by linear combinations of nearby function values.
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TL;DR: In this article , a node control domain-based meshless method (NCDMM) is proposed to handle porous flow problems with singular source terms by virtually constructing node control domains.
References
•Book
High resolution schemes for hyperbolic conservation laws
Ami Harten
- 24 Aug 2011
TL;DR: In this article, a class of new explicit second order accurate finite difference schemes for the computation of weak solutions of hyperbolic conservation laws is presented, which are obtained by applying a nonoscillatory first order accurate scheme to an appropriately modified flux function.
High Resolution Schemes Using Flux Limiters for Hyperbolic Conservation Laws
TL;DR: The technique of obtaining high resolution, second order, oscillation free (TVD), explicit scalar difference schemes, by the addition of a limited antidiffusive flux to a first order scheme is described in this article.
Systems of conservation laws
Peter D. Lax,Burton Wendroff +1 more
TL;DR: In this article, a wide class of difference equations is described for approximating discontinuous time dependent solutions, with prescribed initial data, of hyperbolic systems of nonlinear conservation laws, and the best ones are determined, i.e., those which have the smallest truncation error and in which the discontinuities are confined to a narrow band of 2-3 meshpoints.
Towards the ultimate conservative difference scheme. II. Monotonicity and conservation combined in a second-order scheme
TL;DR: Fromm's second-order scheme for integrating the linear convection equation is made monotonic through the inclusion of nonlinear feedback terms in this paper, where care is taken to keep the scheme in conservation form.
2.2K
New High-Resolution Central Schemes for Nonlinear Conservation Laws and Convection—Diffusion Equations
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TL;DR: It is proved that a scalar version of the high-resolution central scheme is nonoscillatory in the sense of satisfying the total-variation diminishing property in the one-dimensional case and the maximum principle in two-space dimensions.
2K