白噪声激励下的复合材料层合结构损伤检测的内积向量法  

Damage detection of a composite laminated structure using inner product vector under white noise excitation

作　　者：王乐[1] 杨智春[1] 王慧[1] 党晓娟[1] 丁燕[1] 

机构地区：[1]西北工业大学航空学院,西安710072

出　　处：《振动与冲击》2009年第4期127-131,共5页Journal of Vibration and Shock

基　　金：教育部新世纪优秀人才资助计划(NCET-04-0965);航空科学基金(04I53072);高等学校博士学科点专项科研基金(20060699001)

摘　　要：利用白噪声激励下结构各测点的动力学响应之间的互相关函数,引入了内积向量(Inner Product Vector,IPV)的概念,提出了应用内积向量进行结构损伤检测的方法,并分析了测试噪声对基于内积向量的损伤检测方法的影响。通过复合材料层合梁的分层损伤检测仿真算例,验证了该方法检测损伤的有效性以及较高的抗噪能力。Using cross correlation function of vibration responses under white noise excitation, a novel concept of inner product vector (IPV) was introduced. Based on conception of IPV, a new damage detection method was proposed, and the measuring noise resistant ability of the proposed method was also analyzed theoretically. It was proven that the IPV could be easily formed using the inner product of the time domain vibration responses; the value of IPV was dependent on modal shapes of a structure and the influence of measuring noise on the damage detection results could be adaptively eliminated in the calculation of IPV. Numerical simulation examples of delamination damage detection for a composite laminated beam demonstrated the effectiveness and the anti-noise ability of the proposed method.

关 键 词：内积向量 互相关函数 损伤检测 测试噪声 分层损伤 

分 类 号：TB123[理学—工程力学]