基于振动数据的水下结构声辐射估计研究

Tian Tian, Han Hui, C. Jing
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引用次数: 0

摘要

本研究主要从以下几个方面对水下结构声辐射面积进行估算:分析方法、边界元、有限元等。该方法对掌握和理解水下结构振动与辐射机理、计算、理论估计和声学设计具有重要意义。从工程角度来看,这些算法都面临着数值计算量巨大、计算时间长、频带有限等问题。提出了一种基于水下结构振动数据估计声辐射的方法。假设水下结构辐射噪声与振动监测数据之间存在一定的传递函数关系,这种关系是多输入、单输出且收敛的,采用指数加权法。首先,根据薄壳方程和波动方程,建立了大尺度圆柱壳振动/辐射模型;模拟振动监测数据与声辐射的共振关系;并对数据加权方法进行了验证。然后,我们解释了声辐射的估计误差随着监测点数量和样本量的增加而减小;当增加到一定程度时,误差将保持在3dB的范围内。最后,通过船舶实测振动监测和声辐射数据验证,估计值与真实值具有较好的一致性。该方法计算量小,速度快,合理可行。将该方法应用于工程评估是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A research on underwater structure acoustic radiation estimation based on vibration data
This study estimates the underwater structure acoustic radiation areas, mainly in the following aspects: analytical methods, boundary element and finite element, etc. This approach is a significant for mastery and understanding of the underwater structure vibration and radiation mechanism, calculations, theoretical estimates and acoustic design. From the engineering point of view, these algorithms are faced with a huge amount of numerical calculation, a long calculation time, and frequency band is limited and other issues. A method is brought forward to estimate acoustic radiation based on vibration data from underwater structures. On the assumption that there is some transfer function relationship between underwater structure radiated noise and vibration monitoring data, the relation is multi-input, single-output and convergent, and the method of exponentially-weighted is adopted. Firstly, according to the thin shell equation and wave equation, we establish a large-scale cylindrical shell vibration/radiation model; simulate resonance relation of vibration monitoring data and acoustic radiation; and verify the method of data weighting. Then, we explain that the estimation error of acoustic radiation decreases when the number of monitoring points and the sample size increase; and, that the error will remain within a range of 3dB when the increase reaches a certain level. Finally, through the verification of ship measurement vibration monitoring and acoustic radiation data, the estimated value and the true value have a good consistency. This method has a small calculating burden and a fast speed, and it is also both reasonable and feasible. It is possible to apply the method to an engineering estimation.
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