Solving the Incompressible Navier-Stokes Equations on Oriented Curved Surfaces Discretized by Point Clouds

2026-08-31

AI Summary

本文提出了一种基于点云的无网格数值求解器，用于解决曲面上不可压缩Navier-Stokes方程问题，通过局部施加近似可压缩性条件来避免全局矩阵求逆。

Abstract

We present a meshfree numerical solver for the incompressible Navier-Stokes equations on oriented curved surfaces that are represented by surface point clouds. On curved surfaces, numerical challenges pertaining to stiffness and pressure-velocity coupling are exacerbated. Moreover, vector calculus on curved surfaces differs from its Euclidean counterpart. The presented method operates on surface point clouds in an Eulerian frame of reference without requiring a computational grid or mesh. It achieves consistent approximation in space and time with high order of accuracy; we demonstrate up to order six. The incompressibility constraint is locally imposed as a weak artificial compressibility approximation, avoiding global matrix inversion. We show that the method provides consistent and convergent approximations of surface vector fields and differential operators. We study the relationship between error, spatial resolution, and artificial Mach number and characterize the frequency spectrum of the artificial oscillations. We provide numerical solutions of the incompressible Navier-Stokes equations on symmetric surfaces, such as the sphere and torus, and on parametric and non-parametric asymmetric surfaces. Since the proposed method works directly on unstructured surface point clouds, it provides a promising approach for simulations on image-derived geometries, such as in biological morphogenesis from microscopy videos.

Problem

• incompressible Navier-Stokes equations
• oriented curved surfaces
• point clouds
• pressure-velocity coupling
• vector calculus

Innovation

• meshfree numerical solver
• point clouds
• incompressible Navier-Stokes equations
• weak artificial compressibility
• unstructured surface point clouds