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Efficient long-time computations of time-domain boundary integrals for 2D and dissipative wave equation

机译:二维和耗散波动方程的时域边界积分的高效长时间计算

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摘要

Linear hyperbolic partial differential equations in a homogeneous medium, e.g., the wave equation describing the propagation and scattering of acoustic waves, can be reformulated as time-domain boundary integral equations. We propose an efficient implementation of a numerical discretization of such equations when the strong Huygens' principle does not hold. For the numerical discretization, we make use of convolution quadrature in time and standard Galerkin boundary element method in space. The quadrature in time results in a discrete convolution of weights W_j with the boundary density evaluated at equally spaced time points. If the strong Huygens' principle holds, W_j converge to 0 exponentially quickly for large enough j. If the strong Huygens' principle does not hold, e.g., in even space dimensions or when some damping is present, the weights are never zero, thereby presenting a difficulty for efficient numerical computation. In this paper we prove that the kernels of the convolution weights approximate in a certain sense the time domain fundamental solution and that the same holds if both are differentiated in space. The tails of the fundamental solution being very smooth, this implies that the tails of the weights are smooth and can efficiently be interpolated. Further, we hint on the possibility to apply the fast and oblivious convolution quadrature algorithm of Schdle et al. to further reduce memory requirements for long-time computation. We discuss the efficient implementation of the whole numerical scheme and present numerical experiments.
机译:均质介质中的线性双曲偏微分方程,例如描述声波传播和散射的波动方程,可以重新构造为时域边界积分方程。当强惠更斯原理不成立时,我们提出了这类方程数值离散化的有效实现。对于数值离散化,我们利用时间上的卷积求积和空间中的标准Galerkin边界元方法。时间的正交导致权重W_j的离散卷积,并且边界密度在相等间隔的时间点进行评估。如果强惠更斯原理成立,则对于足够大的j,W_j迅速收敛到0。如果强惠更斯原理不成立,例如在均匀的空间尺寸中或存在一些阻尼时,权重就永远不会为零,从而给有效的数值计算带来了困难。在本文中,我们证明了卷积权重的核在某种意义上近似于时域基本解,并且如果两者在空间上是微分的,则同样成立。基本解的尾部非常平滑,这意味着权重的尾部很平滑,可以有效地进行插值。此外,我们暗示了应用Schdle等人的快速且不加考虑的卷积正交算法的可能性。进一步减少长时间计算的内存需求。我们讨论了整个数值方案的有效实施,并提出了数值实验。

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