基于小波级数分解法的动载荷识别研究  

Identification of dynamic force based on wavelet series decomposition

作　　者：杨帆[1] 张方[1] 

机构地区：[1]南京航空航天大学振动工程研究所,南京210016

出　　处：《清华大学学报（自然科学版）》2013年第8期1166-1171,共6页Journal of Tsinghua University(Science and Technology)

摘　　要：对于结构多点分布动态荷载识别问题提出了小波级数分解算法。基于小波级数分解方法描述建立了双简支梁的载荷识别模型。对于测量点均匀分布在结构上,应用紧支撑正交小波函数的性质,给出了多点激励和分布激励下简支梁结构的载荷识别模型,并且对测量点位置无特殊要求。采用二维小波降噪,使得结构上所受噪声干扰影响最小,有效提高了载荷识别的信噪比。对于加载于结构上的不同载荷类型能有效识别。通过计算机数值仿真和实验数据的对比,验证了所提出方法的正确性和有效性。In many practical situations, directly measuring external multi forces on vibrating structures is of great difficulty. A multi force identification method was developed to commendably reconstruct spatially distributed multi-forces using limited measurement points without special limitations on the positions of measured points. The compactly supported orthogonal wavelet function was introduced to fit the forces to be identified. The method includes multi-force and distributed force identification models based on wavelet series decomposition with wavelet denoising techniques adopted to minimize the noise disturbing in the identification model, which effectively improves the signal noise ratio. Various typical forces acting on the Bernoulli-Euler beam can be efficiently reconstructed with numerical simulations and laboratory experiments showing the feasibility of the method

关 键 词：结构动力学 载荷识别 小波分解 分布载荷 正交小波 

分 类 号：O3[理学—力学]