Analysis of Medium Frequency Vibration Response of Attitude and Orbit Control Engine Structure

WU Dan; XUE Jie; AI Pengfei; WANG Jun; XIE Shilin

doi:10.7652/xjtuxb202311002

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Analysis of Medium Frequency Vibration Response of Attitude and Orbit Control Engine Structure

更新时间：2025-12-08

- Analysis of Medium Frequency Vibration Response of Attitude and Orbit Control Engine Structure
- Vol. 57, Issue 11, Pages: 12-20(2023)
- 作者机构：
  
  1. 西安航天动力研究所液体火箭发动机技术重点实验室,西安,710100
  2. 西安交通大学航天航空学院,西安,710049
- 作者简介：
- 基金信息：
- DOI：10.7652/xjtuxb202311002
  CLC： V439
- Online First：10 November 2023，
  
  Published：2023
- 稿件说明：
移动端阅览
WU Dan, XUE Jie, AI Pengfei, et al. Analysis of Medium Frequency Vibration Response of Attitude and Orbit Control Engine Structure[J]. 2023, 57(11): 12-20.
DOI：

WU Dan, XUE Jie, AI Pengfei, et al. Analysis of Medium Frequency Vibration Response of Attitude and Orbit Control Engine Structure[J]. 2023, 57(11): 12-20. DOI： 10.7652/xjtuxb202311002.

摘要

为了提高姿轨控发动机结构环境试验的设计水平

迫切需要研究相应的环境试验响应分析方法。基于姿轨控发动机中频振动特征明显这一特点

综合考虑各组件的模态数及结构特征

为姿轨控发动机建立了适用于中频响应分析的混合有限元-统计能量分析(FE-SEA)模型。在地面试验中

由于使用振动台

输入功率无法直接采用现有理论进行计算

提出了一种基于连接界面随机振动加速度功率谱密度的振动台激励输入功率计算方法

用以实现发动机结构在振动台激振下的响应预示。基于混合有限元-统计能量分析的姿轨控发动机结构响应预示结果与振动台试验的响应测量结果比较

结果表明

混合有限元-统计能量分析方法在中频分析频段内能够准确预示结构响应

当随机子系统的模态数大于3时

对应中心频率下的结构中频响应预示误差均小于±3 dB

具有良好的环境试验响应预示精度。混合FE-SEA方法的预示结果准确性与随机子系统在分析频带内的模态数密切相关

当模态数较小时

预示结果与试验结果在较低频带的误差变得显著。该研究内容为姿轨控发动机结构的中频振动响应分析提供了有效参考。

Abstract

To improve the design of environmental tests for attitude and orbit control engine(AOCE)structures

it is crucial to explore methods that suit environmental test response analysis. Considering the distinct mid-frequency vibration characteristics of AOCE structures and the modal densities and structural features of various components

a hybrid finite element-statistical energy analysis(FE-SEA)model suitable for mid-frequency response analysis of AOCE structures was established. During the ground tests

the use of a shaker made it impossible to calculate the input power directly. To address this issue

this paper proposes a method for calculating the shaker excitation input power based on the power spectral density of random vibration at the interface. This method can predicate the response of AOCE structures to shaker excitation. The comparison between the response prediction results based on the hybrid FE-SEA model and the response measurement results from the shaker experiments demonstrates that the hybrid FE-SEA method accurately predicts the structural response within the mid-frequency analysis range. For random subsystems with modal numbers higher than three

the predicted errors of mid-frequency responses at corresponding center frequencies are all less than ±3 dB

indicating a favorable precision in environmental test response prediction. The accuracy of the hybrid FE-SEA method's prediction results is closely related to the modal numbers of random subsystems within the analysis frequency band. Notably

when modal numbers are relatively small

the predicted results show significant errors compared to the experimental results in the lower frequency band. This study provides a valuable reference for the design of mid-frequency vibration environmental tests for AOCE structures.

关键词

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references

杨林涛. 姿轨控动力系统响应特性仿真研究 [D]. 长沙: 国防科技大学, 2018.

王小波. 低温姿轨控动力系统动态特性仿真及试验研究 [D]. 长沙: 国防科技大学, 2017.

刘洪英, 马爱军, 张陈辉, 等. 航天某薄壳结构有限元法减振设计及验证 [J]. 噪声与振动控制, 2017, 37(1): 89-92.

LIU Hongying, MA Aijun, ZHANG Chenhui, et al. The finite element method for isolator design and test verification of a thin shell structure of space products [J]. Noise and Vibration Control, 2017, 37(1): 89-92.

葛挺, 陆云凤, 王文渊. 航天发动机涡轮有限元结构和疲劳分析 [J]. 中国制造业信息化, 2011, 40(15): 25-27.

GE Ting, LU Yunfeng, WANG Wenyuan. Finite element analysis of structure and fatigue for aerospace engines turbine [J]. Manufacturing Information Engineering of China, 2011, 40(15): 25-27.

MA Tianju, GU Sendong, ZHAO Jipeng, et al. A study of structural parameters effects on pressure differential to roll titanium diaphragm for a spacecraft propellant tank [J]. Advances in Materials Science and Engineering, 2022, 2022: 2003905.

游进, 金玮玮, 沈锋钢. 载人航天器设备隔舱噪声预测与控制方法研究 [J]. 载人航天, 2019, 25(4): 509-513.

YOU Jin, JIN Weiwei, SHEN Fenggang. Study on noise prediction and control of equipment bay in a manned spacecraft [J]. Manned Spaceflight, 2019, 25(4): 509-513.

朱莹, 马琳, 董龙雷. 火箭发动机喷流噪声数值模拟及声振分析 [J]. 计算机辅助工程, 2015, 24(4): 48-51, 81.

ZHU Ying, MA Lin, DONG Longlei. Jet flow noise numerical simulation and acoustic-vibration analysis of rocket engine [J]. Computer Aided Engineering, 2015, 24(4): 48-51, 81.

LYON R H, MAIDANIK G. Power flow between linearly coupled oscillators [J]. The Journal of the Acoustical Society of America, 1962, 34(5): 623-639.

姚德源, 王其政. 统计能量分析原理及其应用 [M]. 北京: 北京理工大学出版社, 1995.

LANGLEY R S, BREMNER P. A hybrid method for the vibration analysis of complex structural-acoustic systems [J]. The Journal of the Acoustical Society of America, 1999, 105(3): 1657-1671.

纪琳. 中频振动分析方法: 混合模型解析 [M]. 北京: 机械工业出版社, 2013.

SHORTER P J, LANGLEY R S. Vibro-acoustic analysis of complex systems [J]. Journal of Sound and Vibration, 2005, 288(3): 669-699.

SHORTER P J, LANGLEY R S. On the reciprocity relationship between direct field radiation and diffuse reverberant loading [J]. The Journal of the Acoustical Society of America, 2005, 117(1): 85-95.

LANGLEY R S. On the diffuse field reciprocity relationship and vibrational energy variance in a random subsystem at high frequencies [J]. The Journal of the Acoustical Society of America, 2007, 121(2): 913-921.

CICIRELLO A, LANGLEY R S. The vibro-acoustic analysis of built-up systems using a hybrid method with parametric and non-parametric uncertainties [J]. Journal of Sound and Vibration, 2013, 332(9): 2165-2178.

CICIRELLO A, LANGLEY R S. Efficient parametric uncertainty analysis within the hybrid finite element/statistical energy analysis method [J]. Journal of Sound and Vibration, 2014, 333(6): 1698-1717.

朱卫红, 马兴瑞, 韩增尧, 等. 混合FE-SEA点连接的修正因子研究 [J]. 计算力学学报, 2015, 32(2): 225-231.

ZHU Weihong, MA Xingrui, HAN Zengyao, et al. Study on the correction factor of hybrid FE-SEA point junction [J]. Chinese Journal of Computational Mechanics, 2015, 32(2): 225-231.

朱卫红, 马兴瑞, 韩增尧, 等. 混合FE-SEA线连接建模方法研究 [J]. 振动工程学报, 2016, 29(1): 17-23.

ZHU Weihong, MA Xingrui, HAN Zengyao, et al. The research on the modeling method of hybrid FE-SEA line junction [J]. Journal of Vibration Engineering, 2016, 29(1): 17-23.

朱卫红, 邹元杰, 韩增尧. 混合有限元-统计能量分析方法及其航天应用 [M]. 北京: 中国宇航出版社, 2017.

林天然, 李震. 统计能量分析方法及应用综述 [J]. 振动与冲击, 2021, 40(13): 222-238.

LIN Tianran, LI Zhen. Overview of statistical energy analysis and its applications [J]. Journal of Vibration and Shock, 2021, 40(13): 222-238.

张永杰, 陈璐, 王喆, 等. 复杂组合结构振动试验的有限元-统计能量混合建模与分析 [J]. 导弹与航天运载技术, 2017(1): 93-96.

ZHANG Yongjie, CHEN Lu, WANG Zhe, et al. Research on hybrid FE-SEA method for vibration of complex built-up structure [J]. Missiles and Space Vehicles, 2017(1): 93-96.

LIU Quanmin, THOMPSON D J, XU Peipei, et al. Investigation of train-induced vibration and noise from a steel-concrete composite railway bridge using a hybrid finite element-statistical energy analysis method [J]. Journal of Sound and Vibration, 2020, 471: 115197.

余亮亮, 雷晓燕, 罗锟. 基于混合有限元-统计能量分析的箱梁结构噪声特性分析 [J]. 应用声学, 2021, 40(1): 163-172.YU Liangliang, LEI Xiaoyan, LUO Kun. Noise analysis of box girder structure based on hybrid finite element-statistical energy analysis [J]. Journal of Applied Acoustics, 2021, 40(1): 163-172.

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 [J]. 城市轨道交通研究, 2022, 25(4): 137-141.

PENG Lei, JIA Shangshuai, LI Baochuan. Vibro-acoustic characteristics prediction and analysis of roof structures in maglev trains based on FE-SEA hybrid method [J]. Urban Mass Transit, 2022, 25(4): 137-141.

SADEGHI J, VEDADI P, VASHEGHANI M. Application of FE-SEA approach in investigation of track properties influences on railway rolling noise generation [J]. Noise Control Engineering Journal, 2022, 70(2): 188-206.

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