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用于移动流形上平流-扩散-反应问题的高阶无网格拉格朗日-欧拉RBF-FD方法

A high-order, meshless, Lagrangian--Eulerian RBF-FD method for advection--diffusion--reaction on moving manifolds

Matthew Lowery, Grady B. Wright, Varun Shankar

arXiv 2608.19384首次发表:更新:

AI 中文总结

该研究提出一种高阶无网格拉格朗日-欧拉RBF-FD方法,用于求解三维移动流形上的平流-扩散-反应偏微分方程,通过多种策略提升稳定性与效率,数值实验验证了其收敛性、守恒性与长期积分稳定性。

AI 中文摘要

我们提出了一种用于处理三维空间中余维数为1的移动流形$\boldsymbol{\textit{M}}(t)$上偏微分方程的高阶径向基函数生成有限差分(RBF-FD)方法。该方法基于曲面RBF-FD的切平面公式,结合了拉格朗日与欧拉处理方式:以拉格朗日方式演化流形和物质导数,同时在瞬时点云上重构其余曲面微分算子,并在必要时通过拟解析超粘性公式进行稳定化处理。采用移动曲面的紧凑全局参数模型进行自适应重排,以处理拉格朗日标记点漂移,该模型还能提供精确的法向量和基于几何的求积。重排后,通过反向半拉格朗日追踪和插值重构多步历史,随后恢复拉格朗日时间离散化。我们通过三种更新策略利用时间相干性:局部RBF-FD权重的缺陷校正、谱重计算间基于曲率的超粘性系数更新,以及在预处理广义最小残差(GMRES)迭代前重用不完全LU(ILU)分解的全局缺陷校正迭代。最后,基于演化的曲面求积通过标量投影强制规定的全局质量守恒。数值实验表明,该方法具有高阶收敛性、无源问题下的舍入误差守恒性、稳定的长时间积分,且所提更新策略可大幅节省计算量。

英文摘要

We present a high-order radial basis function-generated finite difference (RBF-FD) method for partial differential equations on moving manifolds $\mathcal M(t)\subset\mathbb R^3$ of co-dimension one. Our method builds on the tangent-plane formulation of surface RBF-FD and combines Lagrangian and Eulerian treatments: the manifold and material derivative are evolved in a Lagrangian fashion, while the remaining surface differential operators are reconstructed on the instantaneous point cloud and stabilized, when necessary, by a quasi-analytical hyperviscosity formulation. Lagrangian marker drift is handled by adaptive rearrangement using a compact global parametric model of the moving surface, which also supplies accurate normals and geometry-based quadrature. After rearrangement, we reconstruct the multistep history by backward semi-Lagrangian tracing and interpolation before resuming the Lagrangian time discretization. We exploit temporal coherence through three update strategies: defect correction for the local RBF-FD weights, a curvature-based update of the hyperviscosity coefficients between spectral recomputations, and a global defect-correction iteration that reuses an incomplete LU (ILU) factorization before preconditioned generalized minimal residual (GMRES) iterations. Finally, we enforce the prescribed global mass balance through a scalar projection based on the evolving surface quadrature. Numerical experiments demonstrate high-order convergence, conservation to roundoff in source-free problems, stable long-time integration, and substantial savings from the proposed update strategies.

Comments27 pages + 12 page appendix, 21 figures

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