统计能量分析(Statistical Energy Analysis(SEA))是解决复杂结构高频动力学问题的经典理论。在具体的应用中,准确获取表征子系统能量耗散的内损耗因子是重要的使用前提。文章提出了基于噪声激励的板壳结构内损耗因子试验辨识方法,该方...统计能量分析(Statistical Energy Analysis(SEA))是解决复杂结构高频动力学问题的经典理论。在具体的应用中,准确获取表征子系统能量耗散的内损耗因子是重要的使用前提。文章提出了基于噪声激励的板壳结构内损耗因子试验辨识方法,该方法克服了传统稳态能量流和瞬态衰减法的不足之处,简化了试验过程。使用该方法通过试验获取一块铝板的内损耗因子。通过对比分析该方法和脉冲激励法的辨识结果,结果表明该方法的结果具有较高的精度。展开更多
Noise characteristic is one of the important factors to be considered during the design of a launch vehicle system.In this paper,the acceptance conditions for the external noise environment of the instrument cabin are...Noise characteristic is one of the important factors to be considered during the design of a launch vehicle system.In this paper,the acceptance conditions for the external noise environment of the instrument cabin are given based on multi-source data,including the measured data of the launch vehicle lift-off noise,the mechanical environment of the launch vehicle equipment,and the external noise environment of the instrument cabin deduced from empirical formula.Then an acoustic and vibration transfer model is established based on the response data of the instrument equipment used to conduct measurements in the noise test reverberation room.By using an external noise environment and a transfer model,the response of the instrument and equipment for the acceptance condition can be obtained.The acoustic and vibration prediction technology introduced in this paper can provide technical support in the environmental prediction analysis of heavy launch vehicles for the future.展开更多
基于传声器阵列的声源定位算法的性能优劣决定了气动噪声试验检测中气动噪声源定位成像的准确性。为了提高相关声源定位方法的稳健性和准确性,提出一种改进的声反卷积相关声源定位方法--D-MACS(Developed-Mapping of Acoustic Correlate...基于传声器阵列的声源定位算法的性能优劣决定了气动噪声试验检测中气动噪声源定位成像的准确性。为了提高相关声源定位方法的稳健性和准确性,提出一种改进的声反卷积相关声源定位方法--D-MACS(Developed-Mapping of Acoustic Correlated Sources)方法。该方法的特点是:在传统MACS方法的基础上,将声反卷积模型进行改进,使模型体现出声场空间扫描点声压互谱矩阵与互谱波束形成输出矩阵之间的数学关系,其最终获得的声源定位结果,能够提高MACS方法声源定位辨识的稳健性和准确性。通过仿真信号研究和声学风洞环境中的声源定位试验研究,比较了DAS(Delay And Sum beamformming)、DAMAS-C(Deconvolution Approach for the Mapping of Acoustic Correlated Sources)、MACS和D-MACS这4种方法的声源定位性能,验证了D-MACS方法在声源定位性能上的优势。展开更多
文摘统计能量分析(Statistical Energy Analysis(SEA))是解决复杂结构高频动力学问题的经典理论。在具体的应用中,准确获取表征子系统能量耗散的内损耗因子是重要的使用前提。文章提出了基于噪声激励的板壳结构内损耗因子试验辨识方法,该方法克服了传统稳态能量流和瞬态衰减法的不足之处,简化了试验过程。使用该方法通过试验获取一块铝板的内损耗因子。通过对比分析该方法和脉冲激励法的辨识结果,结果表明该方法的结果具有较高的精度。
文摘Noise characteristic is one of the important factors to be considered during the design of a launch vehicle system.In this paper,the acceptance conditions for the external noise environment of the instrument cabin are given based on multi-source data,including the measured data of the launch vehicle lift-off noise,the mechanical environment of the launch vehicle equipment,and the external noise environment of the instrument cabin deduced from empirical formula.Then an acoustic and vibration transfer model is established based on the response data of the instrument equipment used to conduct measurements in the noise test reverberation room.By using an external noise environment and a transfer model,the response of the instrument and equipment for the acceptance condition can be obtained.The acoustic and vibration prediction technology introduced in this paper can provide technical support in the environmental prediction analysis of heavy launch vehicles for the future.
文摘基于传声器阵列的声源定位算法的性能优劣决定了气动噪声试验检测中气动噪声源定位成像的准确性。为了提高相关声源定位方法的稳健性和准确性,提出一种改进的声反卷积相关声源定位方法--D-MACS(Developed-Mapping of Acoustic Correlated Sources)方法。该方法的特点是:在传统MACS方法的基础上,将声反卷积模型进行改进,使模型体现出声场空间扫描点声压互谱矩阵与互谱波束形成输出矩阵之间的数学关系,其最终获得的声源定位结果,能够提高MACS方法声源定位辨识的稳健性和准确性。通过仿真信号研究和声学风洞环境中的声源定位试验研究,比较了DAS(Delay And Sum beamformming)、DAMAS-C(Deconvolution Approach for the Mapping of Acoustic Correlated Sources)、MACS和D-MACS这4种方法的声源定位性能,验证了D-MACS方法在声源定位性能上的优势。
