Prediction and Analysis of Structural Noise from a U-beam Using the FE-SEA Hybrid Method
Prediction and Analysis of Structural Noise from a U-beam Using the FE-SEA Hybrid Method
复制标题
FE-SEA混合法对U型梁结构噪声的预测与分析
DOI：
10.7307/ptt.v30i3.2721
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发表时间：
2018-06
影响因子：
1
通讯作者：
Mechefske Chris K.
中科院分区：
文献类型：
--
作者：
Luo Wenjun;Cheng Long;Tong Lihong;Yu Wennian;Mechefske Chris K.
随着城市轨道交通噪声问题的日益严重，准确、快速地分析轨道交通噪声的中低频频谱特性变得十分重要。基于有限元-统计能量分析（FE-SEA）混合方法，采用分频策略建立了U型梁振动预测模型。在1.25 ~ 500 Hz频率范围内，分析了轮轨垂直相互作用力作用下U型梁振动和结构噪声的频域和空间特性。与文献中描述的其他方法相比，所提出的FE-SEA混合方法提高了计算效率，同时确保更好的精度为较宽的频率范围内的结构噪声和振动。结果表明，轮轨力的激励频率对U型梁的振动和结构噪声频谱起主导作用。因此，在实施策略时，包含激励频率的频带应该是降噪和减振的目标。结果表明，在所有预测点，底板对声压级的贡献最大，因此应作为降噪减振的重点。
With urban rail transit noise becoming an increasingly serious issue, accurate and quick analysis of the low to medium frequency spectral characteristics of this noise has become important. Based on the FE-SEA (Finite Element - Statistical Energy Analysis) hybrid method, a vibration prediction model of a U-beam was established using a frequency-dividing strategy. The frequency domain and spatial characteristics of the vibration and structural noise of the U-beam within the 1.25-500 Hz frequency range, when subjected to vertical wheel-rail interaction forces, were analyzed. Compared with other methods described in the literature, the proposed FE-SEA hybrid method improves the calculation efficiency while ensuring better accuracy for a wide frequency range of structural noise and vibration. It was found that the excitation frequencies of the wheel-rail force dominate the spectra of the vibration and structural noise of the U-beam. Therefore, the frequency band containing the excitation frequencies should be the target for noise and vibration reduction when implementing strategies. The results show that the bottom plate contributes the most to the sound pressure level at all prediction points, and therefore should be the focus for noise and vibration reduction.
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影响因子：
4.7
作者：
O. Bewes;D. Thompson;C.J.C. Jones;A. Wang
通讯作者：
O. Bewes;D. Thompson;C.J.C. Jones;A. Wang
DOI：
--
发表时间：
2013
期刊：
Journal of the China Railway Society
影响因子：
--
作者：
Wu Ding-jun
通讯作者：
Wu Ding-jun
影响因子：
5.5
作者：
K. Alten;R. Flesch
通讯作者：
K. Alten;R. Flesch
影响因子：
4.7
作者：
B. Schulte-Werning;M. Beier;K. G. Degen;D. Stiebel
通讯作者：
B. Schulte-Werning;M. Beier;K. G. Degen;D. Stiebel
影响因子：
4.7
作者：
Langley, Robin S.;Cordioll, Julio A.
通讯作者：
Cordioll, Julio A.