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Optimization of Subway Vehicle Interior Structure-Borne Noise Based on Nodal Contribution Analysis

机译:基于节点贡献分析的地铁车辆内部结构-波恩噪声优化

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During the operation of subway, the panels of the vehicle vibrate under external excitation. The radiation noise from the vibration of the panels is the main source of the interior structure-borne noise in low frequency domain. In this paper, the nodal contribution analysis method is used to calculate the influence of the nodes on the peak value of the sound pressure level in the vehicle. The peak sound pressure level of the vehicle interior noise is optimized by modifying the equivalent thickness of the local panels. After reducing the equivalent thickness of some floor panels to 17 mm, the peak value of the radiated noise of each field point generally decreases 2-5 dB. The results show that the nodal contribution analysis is effective when calculating the nodes that contribute the most to the interior noise of the vehicle. And the targeted optimization method which considers the characteristics of car body structure can improve the structure-borne noise level in the vehicle.
机译:在地铁运行期间,车辆的面板在外部激励下振动。面板振动产生的辐射噪声是低频域内部结构传播噪声的主要来源。本文采用节点贡献分析法计算节点对车辆声压级峰值的影响。通过修改局部面板的等效厚度,可以优化车辆内部噪声的峰值声压级。在将某些地板的等效厚度减小到17 mm之后,每个场点的辐射噪声的峰值通常会降低2-5 dB。结果表明,节点贡献分析在计算对车辆内部噪声影响最大的节点时是有效的。考虑车身结构特性的目标优化方法可以提高车辆的固体声级。

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