| 舰船壳体结构噪声分离技术研究——非线性频谱特征及特征谱分离策略 |
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| 引用本文： | 肖斌.舰船壳体结构噪声分离技术研究——非线性频谱特征及特征谱分离策略[J].声学学报,2013,38(3):346-353. |
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| 作者姓名： | 肖斌 |
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| 作者单位： | 1. 东北电力大学 能源与动力工程学院 吉林 132012; |
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| 基金项目： | 国家安全重大基础研究资助项目(6138702);东北电力大学博士科研启动基金项目(BSJXM-2012004) |
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| 摘 要： | 为分离舰船壳体结构非线性系统的结构噪声,考虑其非线性及响应谱特征,将其理想成纯输入非线性系统,采用Volterra级数模型计算其广义频响函数,获得非线性频谱特征,提出非线性系统噪声源分析策略,并进行数值仿真和试验研究,其结果表明:非线性频谱特征合理存在;提出的非线性系统噪声源分析策略合理有效,可实现系统激励源和广义频响函数的参数估计。非线性频谱特征及提出的非线性系统噪声源分析策略,为深入开展舰船壳体结构噪声的非线性特征识别及其特征谱分离研究提供基础。
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| 关 键 词： | 非线性系统 非线性振动 结构噪声 频谱特征 技术研究 分析策略 频响函数 特征谱 参数估计 噪声源分析 |
| 收稿时间： | 2011-09-21 |
Investigation of ship hull structural noise separation technique-Nonlinear frequency spectrum features and its characteristic spectral separation strategy |
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| XIAO Bin.Investigation of ship hull structural noise separation technique-Nonlinear frequency spectrum features and its characteristic spectral separation strategy[J].Acta Acustica,2013,38(3):346-353. |
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| Authors: | XIAO Bin |
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| Affiliation: | 1. School of Energy and Power Engineering, Northeast Dianli University Jilin 132012;2. Dalian Scientific Test and Control Technology Institute Dalian 116013 |
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| Abstract: | In order to separate structural noise of ship hull structural nonlinear system, when considering its nonlinearity and response spectrum feature, this system is idealized into pure nonlinearity-input system. Volterra series is employed in its Generalized Frequency Response Functions (GFRFs), and nonlinear frequency spectrum features are obtained. Consequently the strategy of noise source analysis of nonlinear system is proposed. Finally and numerical simulation and experimental investigation are carried out, and the results show that, nonlinear frequency spectrum features are of reasonable existence, and the proposed strategy is reasonable and effective, which is able to simultaneously realize parameter estimations of the excitation source and GFRFs of the system. Both nonlinear frequency spectrum features and the proposed strategy of noise source analysis of nonlinear system lay the foundation of further discussing nonlinear feature extraction and its characteristic spectrum separation of ship hull structural noise. |
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