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Stabilization of High-Dimensional Harmonic Balance Solvers Using a Temporal Spectral Viscosity Operator

机译:使用时间谱粘度算子稳定高维谐波平衡求解器

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In this paper, we investigate the application of a temporal spectral viscosity (TSV) operator to eliminate aliasing errors associated with the high-dimensional harmonic balance technique (HDHB), which is an efficient method for modeling nonlinear time-periodic problems. Previous studies have shown that aliasing errors may slow down the convergence rate, trigger a nonlinear instability or lead to non-physical solutions. A temporal spectral viscosity operator, similar to that used in the pseudo-spectral method, is introduced. The temporal spectral viscosity is added to the high frequency modes to eliminate aliasing errors so as to ensure the convergence to the physical solution. The implementation of the technique is straightforward and can be incorporated into the high-dimensional harmonic balance solver as a matrix operator. The accuracy of the modified method is demonstrated for a few test cases and shows promise for the problems considered here.
机译:在本文中,我们研究了使用时间谱粘度(TSV)算子消除与高维谐波平衡技术(HDHB)相关的混叠误差的方法,该方法是一种用于建模非线性时间周期问题的有效方法。先前的研究表明,混叠误差可能会降低收敛速度,触发非线性不稳定或导致非物理解。引入了时间光谱粘度算子,类似于伪光谱方法中使用的算子。将时间频谱粘度添加到高频模式中,以消除混叠误差,从而确保收敛到物理解。该技术的实现非常简单,可以作为矩阵算子并入高维谐波平衡求解器。改进的方法的准确性在几个测试案例中得到了证明,并为解决此处考虑的问题提供了希望。

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