基于有限元统计能量混合法的磁浮列车顶板结构声振特性预测分析
彭垒贾尚帅李宝川
Vibro-acoustic Characteristics Prediction and Analysis of Roof Structures in Maglev Trains Based on FESEA Hybrid Method
PENG LeiJia ShangshuaiLi Baochuan
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作者信息:中车唐山机车车辆有限公司， 063035， 唐山∥第一作者， 工程师
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Affiliation:CRRC Tangshan Co., Ltd., 063035, Tangshan, China
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关键词:
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Key words:
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DOI:10.16037/j.1007-869x.2022.04.029
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中图分类号/CLCN:U270.3
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栏目/Col:研究报告
摘要:
基于FE-SEA（有限元统计能量）混合法，建立了能完整考虑内饰板、多孔吸声材料和铝型材的磁浮列车组合顶板声振特性预测模型，预测并对比了磁浮列车圆顶区域、空调区域和侧顶区域的顶板结构声振特性。对比结果显示：侧顶区域顶板的声振特性最优，圆顶和空调区域次之。对于铝型材结构，圆顶区域和空调区域的面密度基本接近，空调区域的计权隔声量比圆顶区域大3.2 dB，总辐射声功率级大3.0 dBA。对于组合结构，空调区域顶板的计权隔声量比圆顶区域大1.0 dB，总辐射声功率级一致。顶板结构的声振特性与其振动响应和辐射效率直接相关。顶板采用铝型材结构时的声振特性差异明显，采用整体组合结构时的声振特性差异会略有减小。
Abstracts:
Based on FE-SEA (finite element-statistical energy analysis) hybrid method, a maglev train composite roof vibro-acoustic characteristics prediction model fully considering interior trim panels, porous soundabsorbing materials, and aluminum profiles is established. The roof structure vibro-acoustic characteristics of the three areas of maglev train (dome area, air-conditioning area, and side top area) are predicted and compared. The comparison results show that the vibro-acoustic characteristics of the top plate in the side top area are the best, followed by the dome and the air-conditioning areas. For aluminum profile structure, the area density of the dome and the air-conditioning areas is close. The weighted sound insulation of the air-conditioning area is 3.2 dB larger than that of the dome area and 3.0 dBA larger for total radiated sound power level. For composite structure, the weighted sound insulation of the roof in air-conditioning area is 1.0 dB larger than that in dome area, and the total radiated sound power level is the same. The vibro-acoustic characteristics of a roof structure are directly related to its vibration response and radiation efficiency. The difference in vibro-acoustic characteristics when using aluminum profile structure is evident, while the difference is slightly reduced when composite structure is used.
引文 / Ref:
彭垒, 贾尚帅, 李宝川. 基于有限元统计能量混合法的磁浮列车顶板结构声振特性预测分析. 城市轨道交通研究, 2022, 25(4): 137.
PENG Lei, Jia Shangshuai, Li Baochuan. Vibro-acoustic characteristics prediction and analysis of roof structures in maglev trains based on FE-SEA hybrid method. Urban Mass Transit, 2022, 25(4): 137
PENG Lei, Jia Shangshuai, Li Baochuan. Vibro-acoustic characteristics prediction and analysis of roof structures in maglev trains based on FE-SEA hybrid method. Urban Mass Transit, 2022, 25(4): 137
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