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A full-spectrum analysis of high-speed train interior noise under multi-physical-field coupling excitations

机译:多物理场耦合激励下高速列车内部噪声的全谱分析

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High-speed-railway-train interior noise at low, medium, and high frequencies could be simulated by finite element analysis (FEA) or boundary element analysis (BEA), hybrid finite element analysis-statistical energy analysis (FEA-SEA) and statistical energy analysis (SEA), respectively. First, a new method named statistical acoustic energy flow (SAEF) is proposed, which can be applied to the full-spectrum HST interior noise simulation (including low, medium, and high frequencies) with only one model. In an SAEF model, the corresponding multi-physical-field coupling excitations are firstly fully considered and coupled to excite the interior noise. The interior noise attenuated by sound insulation panels of carriage is simulated through modeling the inflow acoustic energy from the exterior excitations into the interior acoustic cavities. Rigid multi-body dynamics, fast multi-pole BEA, and large-eddy simulation with indirect boundary element analysis are first employed to extract the multi-physical-field excitations, which include the wheel-rail interaction forces/secondary suspension forces, the wheel-rail rolling noise, and aerodynamic noise, respectively. All the peak values and their frequency bands of the simulated acoustic excitations are validated with those from the noise source identification test Besides, the measured equipment noise inside equipment compartment is used as one of the excitation sources which contribute to the interior noise. Second, a full-trimmed FE carriage model is firstly constructed, and the simulated modal shapes and frequencies agree well with the measured ones, which has validated the global FE carriage model as well as the local FE models of the aluminum alloy-trim composite panel. Thus, the sound transmission loss model of any composite panel has indirectly been validated. Finally, the SAEF model of the carriage is constructed based on the accurate FE model and stimulated by the multi-physical-field excitations. The results show that the trend of the simulated 1/3 octave band sound pressure spectrum agrees well with that of the on-site-measured one. The deviation between the simulated and measured overall sound pressure level (SPL) is 2.6 dB(A) and well controlled below the engineering tolerance limit, which has validated the SAEF model in the full-spectrum analysis of the high speed train interior noise.
机译:可以通过有限元分析(FEA)或边界元分析(BEA),混合有限元分析-统计能量分析(FEA-SEA)和统计来模拟低,中和高频处的高速铁路列车内部噪声能量分析(SEA)。首先,提出了一种称为统计声能流(SAEF)的新方法,该方法仅需一个模型即可应用于全光谱HST内部噪声模拟(包括低,中和高频)。在SAEF模型中,首先要充分考虑并耦合相应的多物理场耦合激励,以激发内部噪声。通过对从外部激励到内部声腔的流入声能进行建模,可以模拟由车厢隔音板衰减的内部噪声。首先采用刚性多体动力学,快速多极BEA和具有间接边界元分析的大涡模拟来提取多物理场激励,其中包括轮轨相互作用力/次级悬架力,车轮轨道噪音和空气动力学噪音。模拟的声激励的所有峰值及其频带均已通过噪声源识别测试的结果进行了验证。此外,所测得的设备室内的设备噪声被用作导致内部噪声的激励源之一。其次,首先建立了完整的有限元车架模型,仿真的模态形状和频率与实测的模态形状和频率吻合良好,从而验证了铝合金装饰条复合板的整体有限元车架模型和局部有限元模型。 。因此,已经间接地验证了任何复合板的传声损失模型。最后,基于精确的有限元模型构造了滑架的SAEF模型,并通过多物理场激励对其进行了激励。结果表明,模拟的1/3倍频程声压谱的趋势与现场测量的趋势吻合良好。模拟和测量的总体声压级(SPL)之间的偏差为2.6 dB(A),并且在工程公差极限以下得到很好的控制,这已在高速列车内部噪声的全频谱分析中验证了SAEF模型。

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