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Application of Gegenbauer polynomial expansions to mitigate Gibbs phenomenon in Fourier-Bessel series solutions of a dynamic sphere problem

机译:Gegenbauer多项式展开式在减轻动态球体问题的Fourier-Bessel级数解中的Gibbs现象中的应用

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We utilize the inverse polynomial reconstruction (IPR) method to mitigate the Gibbs phenomenon observed in Fourier-Bessel (FB) series. Gibbs phenomenon is the oscillatory behavior that occurs near discontinuities when evaluating series solutions for Sturm-Liouville eigenvalue problems. We employ an approach that uses expansions of the solution in terms of Gegenbauer polynomials on each side of solution discontinuities, the location of which must be known in advance. The IPR solutions provide pointwise values that are more accurate than the truncated series solution, which are polluted by Gibbs phenomenon. We apply this method to discontinuous solutions of a time dependent, linear elastic spherical shell problem, for which a series solution is derived in terms of a FB expansion. For the loading conditions and material properties, we consider the Gibbs phenomenon in the FB solution for a perfectly elastic shell renders the numerically evaluated results unusable as an 'exact' solution for code verification analysis. We quantify the degree to which the IPR method eliminates the Gibbs phenomenon in the computed solution.
机译:我们利用逆多项式重建(IPR)方法来减轻在傅立叶-贝塞尔(FB)系列中观察到的吉布斯现象。吉布斯现象是在评估Sturm-Liouville特征值问题的级数解时在不连续点附近发生的振荡行为。我们采用一种方法,在解决方案不连续的每一侧上,根据Gegenbauer多项式来使用解决方案的展开,必须事先知道其位置。 IPR解决方案提供的逐点值比被Gibbs现象污染的截断序列解更准确。我们将此方法应用于与时间相关的线性弹性球壳问题的不连续解,针对该不连续解,根据FB展开导出了一系列解。对于加载条件和材料特性,我们认为FB解决方案中的Gibbs现象是完全弹性的壳体,使得数值评估的结果无法用作代码验证分析的“精确”解决方案。我们量化IPR方法消除计算解决方案中的吉布斯现象的程度。

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