载荷识别方法是工程振动噪声测试与分析中常用的一种振动响应逆向求解方法。但是由于载荷识别方法实施的过程中不能很好地考虑结构系统的复杂阻尼特性,导致在离激励点较远的远场,误差非常大,这对载荷识别方法的广泛应用提出了挑战。提出虚拟远场激励方法,即在离激励点较远的远场位置布置虚拟激励点,来实施载荷识别,由此可以避免结构中由于离激励点较远的位置的存在而带来的远场求解误差。通过与试验测试数据、传统载荷识别方法求解结果进行对比,表明采用虚拟远场激励方法求解得到的振动响应与试验测试数据更为接近,特别是在远场,误差得到了显著的改善。这表明,虚拟远场激励方法可以有效提高传统载荷识别方法在远场的求解误差,而且可以广泛用于各种载荷激励难以确定的复杂机械系统的振动求解。
The load identification method is a commonly method for the vibration response reverse solving in engineering vibration and noise testing and analyze. However, due to the load identification method cannot be well to consider the complexity damping characteristics of the system when the method is carry out, the errors in the far-field away from the excitation point field is very large, so the load identification method is facing the widely challenges. A virtual far-field excitation method is proposed, in which the virtual excitation point is arranged farther away from the excitation point position of the far-field to carry out the load identification solving. It can avoid the solver error caused by the distance between the excitation point and response points. After comparing with the experimental test data and the results solved by load identification method, suggests that the results solved by virtual far-field exciting method are more closely with the test data, particularly in the far field, the errors have been significantly improved. This indicates that the virtual far-field excitation method can effectively improve the solving the error in the far field of the traditional load identification method, and can be widely used to solve the vibration of complex mechanical system, in which the load excitation is difficult to determine.
[1] MA Fuyin,WU Jiuhui,WU Weiwei. Vibration and noise analysis of multiphysical coupling systems[J]. Journal of Mechanical Science and Technology,2014,28(8):3361-3370.
[2] 孙兴盛,刘杰,丁飞,等. 基于矩阵摄动的随机结构动态载荷识别技术[J]. 机械工程学报,2014,50(13):148-156.SUN Xingsheng,LIU Jie,DING Fei,et al. Identification method of dynamic loads for stochastic structures based on matrix perturbation theory[J]. Journal of Mechanical Engineering,2014,50(13):148-156.
[3] 马维金,熊诗波,熊晓燕. 基于模态理论的振动结构声辐射信号特征提取方法及其应用[J]. 机械工程学报,2005,41(5):15-20.MA Weijin,XIONG Shibo,XIONG Xiaoyan. Method for sound signal characteristic extrction based on modal analysis and its application[J]. Chinese Journal of Mechanical Engineering,2005,41(5):15-20.
[4] WANG Zhiqiang,ZHANG Weiping. Dynamic identification of vibration system in the time domain[J]. Chinese Journal of Mechanical Engineering,1988,1(1):66-74.
[5] CHEN Lixin,JIANG Xiaoyu. Prediction of vibration and noise of gear box[J]. Chinese Journal of Mechanical Engineering,1993,6(4):257-260.
[6] 朱涛,肖守讷,阳光武. 载荷识别研究进展及其运用于铁道轮-轨载荷研究概述[J]. 铁道学报,2011,33(10):29-36.ZHU Tao,XIAO Shoune,YANG Guangwu. State-of-the-art development of load identification and its application in study on wheel-rail forces[J]. Journal of the China Railway Society,2011,33(10):29-36.
[7] BARLETT F D,FLANNELLY W G. Model verification of force determination for measuring vibration loads[J]. Journal of the American Helicopter Society,1979,19(4):10-18.
[8] GIANSAMETE N,JONES R,CALAPODAS N J. Determination of in-flight helicopter loads[J]. Journal of the American Helicopter Society,1982,27(3):58-64.
[9] KARLSSON S E S. Identification of external structural loads from measured harmonic responses[J]. Journal of Sound and Vibration,1996,196(1):59-74.
[10] MASRI S F,CHASSIAKOS A G,CAUGHEY T K. Identification of nonlinear dynamic systems using neural networks[J]. Journal of Applied Mechanics,1993,60(1):123-133.
[11] LIANG Yanhun,ZHOU Chunguang,WANG Zaishen. Identification of restoring forces in nonlinear vibration systems based on neural networks[J]. Journal of Sound and Vibration,1997,206(1):103-105.
[12] LIN Jiahao. A fast CQC algorithm of PSD matrices for random seismic responses[J]. Computers & Structures,1992,44(3):683-687.
[13] LIN Jiahao,ZHANG Wenshou,LI Jianjun. Structural responses to arbitrarily coherent stationary random excitations[J]. Computers & Structures,1994,50(5):629-633.
[14] LIN Jiahao,SUN D K, SUN Y,et al. Structural responses to non-uniformly modulated evolutionary random seismic excitations[J]. Communications in Numerical Methods in Engineering,1997,13(8):605-616.
[15] ZHONG Wanxie. Review of a high-efficiency algorithm series for structural random responses[J]. Progress in Natural Science 1996,6(3):257-268.
[16] 智浩,郭杏林,林家浩. 平稳随机振动荷载识别的逆虚拟激励法[J]. 计算力学学报,1998,15(4):395-400.ZHI Hao,GUO Xinglin,LIN Jiahao. Inverse pseudo excitation method for loading identification of stationary random vibration[J]. Chinese Journal of Computational Mechanics,1998,15(4):395-400.
[17] LIN Jiahao,GUO X L,ZHI H,et al. Computer simulation of structural random loading identification[J]. Computers & Structures,2001,79(4):375-387.
[18] 吴伟蔚,马富银. 汽车发动机机油泵的综合性能评价[J]. 中国公路学报,2012,25(2):134-141. WU Weiwei,MA Fuyin. Evaluation for comprehensive performances of oil pump used in vehicle engine[J]. China Journal of Highway and Transport,2012,25(2):134-141.
[19] 马富银,黄新良,吴伟蔚,等. 齿轮机油泵性能测试试验方案设计[J]. 噪声与振动控制,2012,32(3):212-216.MA Fuyin,HUANG Xinliang,WU Weiwei,et al. Design of testing method for performance of gear oil pump[J]. Noise and Vibration Control,2012,32(3):212-216.
[20] 马富银,杨国平,吴伟蔚. 泵的空化现象研究进展[J]. 流体机械,2011,39(4):70-74. MA Fuyin,YANG Guoping,WU Weiwei. Development of cavitation study on pump[J]. Fluid Mechinery,2011,39(4):70-74.