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首页> 外文期刊>The Journal of the Acoustical Society of America >The Helmholtz equation least-squares method and Rayleigh hypothesis in near-field acoustical holography
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The Helmholtz equation least-squares method and Rayleigh hypothesis in near-field acoustical holography

机译:近场声全息中的亥姆霍兹方程最小二乘法和瑞利假设

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In this paper we present a numerical investigation of reconstructing time-harmonic acoustic pressure field in two dimensional space by using a series expansion—the so-called Helmholtz equation least-squares (HELS) method. Series expansion methods (or the Rayleigh methods) have been widely used in predicting the scattered acoustic pressure. With regularization, they can also be applied to reconstruction of acoustic pressure on the source surface from the measurements taken in the field, and HELS is the first such attempt for these problems. In this paper, we establish HELS in the framework of the Rayleigh methods and reveal its interrelationship with the Rayleigh hypothesis. In particular, to regularize a reconstruction problem, we use the method of quasisolutions, i.e., a Tikhonov regularization with an a posteriori choice of the regularization parameter. It is shown that without regularization HELS can still yield a satisfactory reconstruction of acoustic radiation from an arbitrary object when enough measurements are taken at sufficiently close range to the source. With regularization the number of measurements can be reduced and reconstruction accuracy be enhanced. It is concluded that HELS can be used to reconstruct acoustic radiation from a convex arbitrarily shaped vibrating object regardless of the validity of the Rayleigh hypothesis, although in practice the results will depend on the rate of convergence of the approximating sequence.
机译:在本文中,我们对使用级数展开(即所谓的亥姆霍兹方程最小二乘(HELS)方法)在二维空间中重建时谐声压场进行了数值研究。级数展开法(或瑞利方法)已广泛用于预测散射声压。通过正则化,它们还可以用于根据现场进行的测量来重建源表面上的声压,而HELS是针对这些问题的首次尝试。在本文中,我们在瑞利方法的框架内建立了HELS,并揭示了其与瑞利假设的相互关系。特别是,为了规范化重构问题,我们使用准解法,即使用后验选择规范化参数的Tikhonov规范化。结果表明,如果不进行正则化,则在距声源足够近的范围内进行足够的测量时,HELS仍可以令人满意地重建来自任意物体的声辐射。通过正则化,可以减少测量数量,并提高重建精度。可以得出结论,尽管在实际中瑞雷假设的有效性将取决于近似序列的收敛速度,但HELS可用于从凸状任意形状的振动物体重建声辐射,尽管其结果是正确的。

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