| 基于奇异分解和自适应BEM积分算法的水下航行体机械噪声预报 |
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| 引用本文： | 魏应三,王永生,聂沛军. 基于奇异分解和自适应BEM积分算法的水下航行体机械噪声预报[J]. 计算力学学报, 2011, 28(6): 858-863,925 |
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| 作者姓名： | 魏应三 王永生 聂沛军 |
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| 作者单位： | 海军工程大学船舶与动力学院,武汉,430033 |
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| 基金项目： | 国家自然科学基金(51009142)资助项目. |
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| 摘 要： | 提出一种改进的声学边界元法（M-BEM）用于准确计算水下航行体发动机振动引起的近场辐射噪声。分别采用奇异分解技术和自适应边界元积分算法解决了Helmholtz积分方程在求解近场声压时出现的超奇异积分和奇异积分问题。采用一脉动球源的声辐射算例对方法进行验证，数值解与精确解误差小于1．5dB。结合有限元方法并考虑流固耦合作...
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| 关 键 词： | 机械噪声 改进边界元法 奇异分解 自适应BEM积分 |
| 收稿时间： | 2010-03-31 |
| 修稿时间： | 2010-10-12 |
Prediction of underwater vehicle vibration-noise based on singularity-decomposition and self-adaptive BEM quadrature |
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| WEI Ying-san,WANG Yong-sheng and NIE Pei-jun. Prediction of underwater vehicle vibration-noise based on singularity-decomposition and self-adaptive BEM quadrature[J]. Chinese Journal of Computational Mechanics, 2011, 28(6): 858-863,925 |
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| Authors: | WEI Ying-san WANG Yong-sheng NIE Pei-jun |
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| Affiliation: | Department of Mechanical Engineering, Naval University of Engineering, Wuhan 430033, China;Department of Mechanical Engineering, Naval University of Engineering, Wuhan 430033, China;Department of Mechanical Engineering, Naval University of Engineering, Wuhan 430033, China |
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| Abstract: | A modified boundary element method(M-BEM) was proposed to calculate the engine vibration induced underwater near-field noise of a submerged structure.A singularity-decomposition scheme and a self-adaptive BEM quadrature algorithm were adopted to overcome Helmholtz hyper-singular and singular integral when calculating near-field sound pressure.A numerical case of a pulsating sphere was investigated to validate the M-BEM algorithm.Then M-BEM coupled with FEM were applied to predict underwater vehicle vibration-noise considering fluid-structure interaction effects.By visualization the near-field sound pressure distribution,high sound pressure area was localized.Finally,the underwater radiated sound power was calculated and the peak frequencies were identified.Reduction of the engine periodic-isolator's stiffness can effectively transfer the sound power of peak frequencies to band-spectrum and the vibration noise of the line spectrum is controlled. |
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| Keywords: | mechanical noise modified-BEM singularity-decomposition self-adaptive BEM quadrature |
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