Discretized Boundary Surface Reconstruction

Domain discretization is an essential part of the solution procedure in numerical simulations. Meshless methods simplify the domain discretization to positioning of nodes in the interior and on the boundary of the domain. However, generally speaking, the shape of the boundary is often undefined and thus needs to be constructed before it can be discretized with a desired internodal spacing. Domain shape construction is far from trivial and is the main challenge of this paper. We tackle the simulation of moving boundary problems where the lack of domain shape information can introduce difficulties. We present a solution for 2D surface reconstruction from discretization points using cubic splines and thus providing a surface description anywhere in the domain. We also demonstrate the presented algorithm in a simulation of phase-change-like problem.

[1]  Bengt Fornberg,et al.  A primer on radial basis functions with applications to the geosciences , 2015, CBMS-NSF regional conference series in applied mathematics.

[2]  T. Hughes,et al.  Isogeometric analysis : CAD, finite elements, NURBS, exact geometry and mesh refinement , 2005 .

[3]  J. Oden,et al.  H‐p clouds—an h‐p meshless method , 1996 .

[4]  Gregor Kosec,et al.  A local numerical solution of a fluid-flow problem on an irregular domain , 2016, Adv. Eng. Softw..

[5]  FornbergBengt,et al.  On the role of polynomials in RBF-FD approximations , 2016 .

[6]  Rainald Löhner,et al.  A general advancing front technique for filling space with arbitrary objects , 2004 .

[7]  A. I. Tolstykh,et al.  On using radial basis functions in a “finite difference mode” with applications to elasticity problems , 2003 .

[8]  Mark A Fleming,et al.  Meshless methods: An overview and recent developments , 1996 .

[9]  R. Kobayashi Modeling and numerical simulations of dendritic crystal growth , 1993 .

[10]  王东东,et al.  Computer Methods in Applied Mechanics and Engineering , 2004 .

[11]  G. Kosec,et al.  Refined Meshless Local Strong Form solution of Cauchy–Navier equation on an irregular domain , 2019, Engineering Analysis with Boundary Elements.

[12]  W. S. Hall,et al.  Boundary Element Method , 2006 .

[13]  Bengt Fornberg,et al.  Solving PDEs with radial basis functions * , 2015, Acta Numerica.

[14]  Xiang-Yang Li,et al.  Point placement for meshless methods using Sphere packing and Advancing Front methods , 2001 .

[15]  Bengt Fornberg,et al.  On the role of polynomials in RBF-FD approximations: II. Numerical solution of elliptic PDEs , 2017, J. Comput. Phys..

[16]  Les A. Piegl,et al.  The NURBS Book , 1995, Monographs in Visual Communication.

[17]  Long Chen FINITE VOLUME METHODS , 2011 .

[18]  Jure Slak,et al.  Medusa: A C++ Library for solving PDEs using Strong Form Mesh-Free methods , 2019, ArXiv.

[19]  T. Belytschko,et al.  Element‐free Galerkin methods , 1994 .

[20]  Mitja Janvcivc,et al.  Monomial augmentation guidelines for RBF-FD from accuracy vs. computational time perspective , 2019 .

[21]  Jure Slak,et al.  On generation of node distributions for meshless PDE discretizations , 2018, SIAM J. Sci. Comput..

[22]  Bengt Fornberg,et al.  On the role of polynomials in RBF-FD approximations: I. Interpolation and accuracy , 2016, J. Comput. Phys..

[23]  E. S. Puchi-Cabrera,et al.  Solving heat conduction problems with phase-change under the heat source term approach and the element-free Galerkin formulation , 2019, International Communications in Heat and Mass Transfer.

[25]  G. Smith,et al.  Numerical Solution of Partial Differential Equations: Finite Difference Methods , 1978 .

[26]  S. Atluri,et al.  A new Meshless Local Petrov-Galerkin (MLPG) approach in computational mechanics , 1998 .