论文标题

使用光谱方法模拟准三维水下声学场的应用

Application of a Spectral Method to Simulate Quasi-Three-Dimensional Underwater Acoustic Fields

论文作者

Tu, Houwang, Wang, Yongxian, Liu, Wei, Yang, Chunmei, Qin, Jixing, Ma, Shuqing, Wang, Xiaodong

论文摘要

三维水下声场的计算一直是计算海洋声学中的关键问题。传统上,通常通过使用有限差或有限元算法直接求解声学旋运方程来获得该解决方案。直接求解三维Helmholtz方程在计算上很昂贵。对于准三维问题,可以通过积分转换方法来处理Helmholtz方程,这可以大大降低计算成本。在本文中,设计了一种合并积分转换技术,逐步耦合模式和光谱方法的准三维声场的数值算法。使用积分转换策略将准三维问题转化为二维问题。然后使用逐步近似来离散二维问题的范围依赖性;这种近似本质上是一种物理离散化,将依赖范围依赖的二维问题进一步降低到一维问题。最后,采用Chebyshev- -TAU光谱法来准确解决一维问题。我们为提出的算法提供相应的数值程序Spec3D,并描述几个代表性的数值示例。在数值实验中,SPEC3D与分析解决方案/高精度有限差计划教练之间的一致性验证了所提出算法的可靠性和能力。对运行时间的比较表明,在计算速度方面,本文提出的算法明显快于整个三维算法。

The calculation of a three-dimensional underwater acoustic field has always been a key problem in computational ocean acoustics. Traditionally, this solution is usually obtained by directly solving the acoustic Helmholtz equation using a finite difference or finite element algorithm. Solving the three-dimensional Helmholtz equation directly is computationally expensive. For quasi-three-dimensional problems, the Helmholtz equation can be processed by the integral transformation approach, which can greatly reduce the computational cost. In this paper, a numerical algorithm for a quasi-three-dimensional sound field that combines an integral transformation technique, stepwise coupled modes and a spectral method is designed. The quasi-three-dimensional problem is transformed into a two-dimensional problem using an integral transformation strategy. A stepwise approximation is then used to discretize the range dependence of the two-dimensional problem; this approximation is essentially a physical discretization that further reduces the range-dependent two-dimensional problem to a one-dimensional problem. Finally, the Chebyshev--Tau spectral method is employed to accurately solve the one-dimensional problem. We provide the corresponding numerical program SPEC3D for the proposed algorithm and describe several representative numerical examples. In the numerical experiments, the consistency between SPEC3D and the analytical solution/high-precision finite difference program COACH verifies the reliability and capability of the proposed algorithm. A comparison of running times illustrates that the algorithm proposed in this paper is significantly faster than the full three-dimensional algorithm in terms of computational speed.

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