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A hybrid numerical-asymptotic boundary integral method for high-frequency acoustic scattering

机译:高频声散射的混合数值渐近边界积分方法

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We propose a new robust method for the computation of scattering of high-frequency acoustic plane waves by smooth convex objects in 2D. We formulate this problem by the direct boundary integral method, using the classical combined potential approach. By exploiting the known asymptotics of the solution, we devise particular expansions, valid in various zones of the boundary, which express the solution of the integral equation as a product of explicit oscillatory functions and more slowly varying unknown amplitudes. The amplitudes are approximated by polynomials (of minimum degree d) in each zone using a Galerkin scheme. We prove that the underlying bilinear form is continuous in L 2, with a continuity constant that grows mildly in the wavenumber k. We also show that the bilinear form is uniformly L 2-coercive, independent of k, for all k sufficiently large. (The latter result depends on rather delicate Fourier analysis and is restricted in 2D to circular domains, but it also applies to spheres in higher dimensions.) Using these results and the asymptotic expansion of the solution, we prove superalgebraic convergence of our numerical method as d → ∞ for fixed k. We also prove that, as k → ∞, d has to increase only very modestly to maintain a fixed error bound (d ~ k 1/9 is a typical behaviour). Numerical experiments show that the method suffers minimal loss of accuracy as k →∞, for a fixed number of degrees of freedom. Numerical solutions with a relative error of about 10?5 are obtained on domains of size $mathcal{O}(1)$ for k up to 800 using about 60 degrees of freedom.
机译:我们提出了一种新的鲁棒方法,用于计算二维光滑凸物体对高频声平面波的散射。我们使用经典的组合势方法,通过直接边界积分法来表达这个问题。通过利用解的已知渐近性,我们设计了在边界的各个区域中均有效的特定展开式,这些展开式将积分方程的解表示为显式振荡函数和未知振幅的更缓慢变化的乘积。使用Galerkin方案在每个区域中通过多项式(最小度d)近似振幅。我们证明了基本的双线性形式在L 2 中是连续的,其连续常数在波数k中缓慢增长。我们还表明,对于所有足够大的k,双线性形式都是均匀的L 2矫顽力,与k无关。 (后者的结果取决于相当精细的傅里叶分析,并且在2D中限于圆形域,但它也适用于更高维的球体。)使用这些结果和解的渐近展开,我们证明了我们的数值方法的超代数收敛为对于固定k,d→∞。我们还证明,当k→∞时,d只需适度增加即可保持固定的误差范围(d〜k 1/9 是典型的行为)。数值实验表明,对于固定数量的自由度,该方法的精度损失最小,为k→∞。使用大约60个自由度,在k高达800的$ mathcal {O}(1)$大小的域上获得了相对误差约为10?5 的数值解。

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