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An alternative local collocation strategy for high-convergence meshless PDE solutions, using radial basis functions

机译:使用径向基函数的高收敛无网格PDE解决方案的替代局部配置策略

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摘要

This work proposes an alternative decomposition for local scalable meshless RBF collocation. The proposed method operates on a dataset of scattered nodes that are placed within the solution domain and on the solution boundary, forming a small RBF collocation system around each internal node. Unlike other meshless local RBF formulations that are based on a generalised finite difference (RBF-FD) principle, in the proposed "finite collocation" method the solution of the PDE is driven entirely by collocation of PDE governing and boundary operators within the local systems. A sparse global collocation system is obtained not by enforcing the PDE governing operator, but by assembling the value of the field variable in terms of the field value at neighbouring nodes. In analogy to full-domain RBF collocation systems, communication between stencils occurs only over the stencil periphery, allowing the PDE governing operator to be collocated in an uninterrupted manner within the stencil interior. The local collocation of the PDE governing operator allows the method to operate on centred stencils in the presence of strong convective fields; the reconstruction weights assigned to nodes in the stencils being automatically adjusted to represent the flow of information as dictated by the problem physics. This "implicit upwinding" effect mitigates the need for ad-hoc upwinding stencils in convective dominant problems. Boundary conditions are also enforced within the local collocation systems, allowing arbitrary boundary operators to be imposed naturally within the solution construction. The performance of the method is assessed using a large number of numerical examples with two steady PDEs; the convection-diffusion equation, and the Lamé-Navier equations for linear elasticity. The method exhibits high-order convergence in each case tested (greater than sixth order), and the use of centred stencils is demonstrated for convective-dominant problems. In the case of linear elasticity, the stress fields are reproduced to the same degree of accuracy as the displacement field, and exhibit the same order of convergence. The method is also highly stable towards variations in basis function flatness, demonstrating significantly improved stability in comparison to finite-difference type RBF collocation methods.
机译:这项工作为本地可扩展的无网格RBF配置提出了一种替代分解方法。所提出的方法在分散节点的数据集上运行,这些数据集位于解决方案域内和解决方案边界上,从而在每个内部节点周围形成一个小的RBF配置系统。与其他基于广义有限差分(RBF-FD)原理的无网格局部RBF公式不同,在提出的“有限配置”方法中,PDE的解决方案完全由本地系统中PDE控制和边界算子的配置驱动。稀疏的全局配置系统不是通过强制执行PDE控制运算符,而是通过根据相邻节点处的字段值组合字段变量的值来获得的。与全域RBF配置系统类似,模板之间的通信仅在模板外围进行,从而使PDE支配操作员以不间断的方式配置在模板内部。 PDE控制运算符的本地配置使该方法可以在存在强对流场的情况下对居中的模板进行操作。分配给模具中节点的重建权重将自动调整,以表示问题物理所指示的信息流。这种“隐式迎风”效果减轻了对流主导问题中对临时迎风模板的需求。边界条件也在本地配置系统中强制执行,从而允许在解决方案构造中自然地强加任意边界运算符。使用带有两个稳定PDE的大量数值示例来评估该方法的性能。对流扩散方程,以及线性弹性的Lamé-Navier方程。该方法在每种测试情况下均表现出高阶收敛性(大于六阶),并且证明了对中占主导地位的问题使用居中模具。在线性弹性的情况下,应力场的再现程度与位移场相同,并且具有相同的收敛阶数。该方法对基函数平坦度的变化也非常稳定,与有限差分型RBF配置方法相比,表明稳定性得到了显着改善。

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