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Modeling underwater noise propagation from marine hydrokinetic power devices through a time-domain, velocity-pressure solution

机译:通过时域,速度 - 压力解决从海洋水管动力装置的水下噪声传播建模

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摘要

Marine hydrokinetic (MHK) devices generate electricity from the motion of tidal and ocean currents, as well as ocean waves, to provide an additional source of renewable energy available to the United States. These devices are a source of anthropogenic noise in the marine ecosystem and must meet regulatory guidelines that mandate a maximum amount of noise that may be generated. In the absence of measured levels from in situ deployments, a model for predicting the propagation of sound from an array of MHK sources in a real environment is essential. A set of coupled, linearized velocity-pressure equations in the time-domain are derived and presented in this paper, which are an alternative solution to the Helmholtz and wave equation methods traditionally employed. Discretizing these equations on a three-dimensional (3D), finite-difference grid ultimately permits a finite number of complex sources and spatially varying sound speeds, bathymetry, and bed composition. The solution to this system of equations has been parallelized in an acoustic-wave propagation package developed at Sandia National Labs, called Paracousti. This work presents the broadband sound pressure levels from a single source in two-dimensional (2D) ideal and Pekeris wave-guides and in a 3D domain with a sloping boundary. The paper concludes with demonstration of Paracousti for an array of MHK sources in a simple wave-guide. (C) 2018 Acoustical Society of America.
机译:海洋流体动力学(MHK)装置生成从潮汐和洋流的运动电力,以及海浪,以提供可再生能源提供给美国的额外来源。这些设备是在海洋生态系统的人为噪声源和必须满足强制时可能产生噪声的最大量法规准则。在从原位部署没有测量水平的,用于从源MHK在实际环境中的阵列预测声音的传播模型是必不可少的。一组联接,线性化的时域速度压力方程的推导和在本文中,这是一种替代解决方案,以亥姆霍兹和波传统上采用的方程方法来呈现。上的三维(3D)离散化这些等式中,有限差分网格最终允许的复杂源的有限数量和空间上变化的声速,水深,和床组成。这个系统方程的解决方案已经在并行Sandia国家实验室开发的声学波的传播包,称为Paracousti。这项工作提出从单个源的宽带声压级在二维(2D)和理想波Pekeris导游,并与一个倾斜的边界的三维结构域。纸张与的MHK源以简单的波导阵列Paracousti的示范结束。 (c)2018年声学学会。

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  • 作者单位

    Montana State Univ Dept Mech &

    Ind Engn Bozeman MT 59718 USA;

    Montana State Univ Dept Mech &

    Ind Engn Bozeman MT 59718 USA;

    DNV GL Energy &

    Sustainabil 1501 4th Ave Suite 900 Seattle WA 98101 USA;

    Sandia Natl Labs 1515 Eubank Southeast Albuquerque NM 87123 USA;

    Sandia Natl Labs 1515 Eubank Southeast Albuquerque NM 87123 USA;

    Sandia Natl Labs 1515 Eubank Southeast Albuquerque NM 87123 USA;

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  • 正文语种 eng
  • 中图分类 声学;
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