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A novel form of interpolating and reproducing kernel method and numerical studies on the nonlinear dynamics of pipe whip

机译:一种新的内插和再生核方法形式及管鞭非线性动力学的数值研究

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A novel discretization scheme based on the reproducing kernel interpolating (RKI) approximations of functions is proposed. It is a novel form of RK interpolation that non-trivially improves upon the earlier version of the strategy by Chen et al.14 where, the primitive function had to attain its maximum value of unity over a typically small support size thereby leading to an ill-conditioning of the algorithm. The presently proposed interpolating strategy effectively resolves such numerical difficulties by taking a linear combination of two different families of RK basis functions and determines the coefficients of the linear combination through interpolating conditions. In the process, the twin objectives of polynomial reproduction and interpolation are together met by the two families of basis functions and thus, unlike the approach by Chen et al. (2003). none of these two families of functions has to separately satisfy the Kronecker delta property and there are no imposed restrictions on the support sizes, The proposed RKI method is then applied to obtain strong solutions of highly nonlinear partial differential equations (PDE-s) representing elastic-plastic nonlinear vibration of a cantilever pipe under a follower load at its tip. While Reid et a/.15 have employed a central difference (CD) scheme for space and time discretizations of the governing PDE-s, this approach showed numerical instability (especially over the plastic regions where curvature profiles exhibit highly localized peaks) and a lack of convergence as the number of nodes for spatial discretization increases. The new RKI strategy developed in this study is shown to be quite suited to negotiate such problems. Indeed, a major observation of this paper has been that spurious and high frequency bursts in numerical computations of curvature profiles and their derivatives through central differencing or the RKI method by .Chen et al.13, may be significantly arrested, and even nearly eliminated, by this method.
机译:提出了一种基于函数的再生核内插(RKI)近似的离散化方案。这是一种新颖的RK插值形式,对Chen等人[14]的较早版本的策略进行了不小的改进,在该函数中,原始函数必须在通常较小的支持范围内达到其最大的统一值,从而导致疾病-算法的条件。目前提出的插值策略通过采用两个不同的RK基函数族的线性组合有效地解决了这些数值难题,并通过插值条件确定了线性组合的系数。在这个过程中,多项式再现和插值的双重目标由两个基函数族共同满足,因此,与Chen等人的方法不同。 (2003)。这两个函数族中的任何一个都不必单独满足Kronecker delta属性,并且对支撑大小没有强加限制,然后将所提出的RKI方法应用于获得表示弹性的高度非线性偏微分方程(PDE-s)的强解。悬臂管尖端受到跟随载荷的塑性塑性非线性振动。尽管Reid等人(.15)对控制的PDE-s的时空离散采用了中心差分(CD)方案,但这种方法显示出数值不稳定(尤其是在曲率剖面显示高度局部峰值的塑性区域),并且缺乏随空间离散化节点数量的增加而收敛。这项研究中开发的新RKI策略非常适合解决此类问题。确实,本文的主要观察结果是,通过Chene等人[13]通过中心差分或RKI方法进行的曲率剖面及其导数的数值计算中的杂散和高频脉冲串可能会被阻止,甚至几乎消除,通过这种方法。

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