4.7 Article

On the solution of hyperbolic equations using the peridynamic differential operator

出版社

ELSEVIER SCIENCE SA
DOI: 10.1016/j.cma.2022.114574

关键词

Peridynamics; Nonlocal; Hyperbolic; Advection; Eikonal

资金

  1. MURI Center for Material Failure Prediction through Peridynamics at the University of Arizona (AFOSR) [FA9550-14-1-0073]

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This study introduces a generalized upwind scheme called directional nonlocality for the numerical solution of linear and nonlinear hyperbolic PDEs. By introducing an internal length parameter and a weight function, this method achieves stable discretization of hyperbolic PDEs and constructs solutions that compare well with analytical/reference solutions.
Numerical solution of hyperbolic differential equations, such as the advection equation, poses challenges. Classically, this issue has been addressed by using a scheme known as the upwind scheme. It simply invokes more points from the upwind side of the flow stream when calculating derivatives. This study presents a generalized upwind scheme, referred to as directional nonlocality, for the numerical solution of linear and nonlinear hyperbolic Partial Differential Equations (PDEs) using the peridynamic differential operator (PDDO). The PDDO provides the nonlocal form of the differential equations by introducing an internal length parameter (horizon) and a weight function. The weight function controls the degree of interaction among the points within the horizon. A modification to the weight function, i.e., upwinded-weight function, accounts for directional nonlocality along which information travels. This modification results in a stable PDDO discretization of hyperbolic PDEs. Solutions are constructed in a consistent manner without special treatments through simple discretization. The capability of this approach is demonstrated by considering time dependent linear and nonlinear hyperbolic equations as well as the time invariant Eikonal equation. Numerical stability is ensured for the linear advection equation and the PD solutions compare well with the analytical/reference solutions.(c) 2022 Elsevier B.V. All rights reserved.

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