Romano Anthony J, Bucaro Joseph A, Vignola Joseph F, Abraham Phillip B
Naval Research Laboratory, Washington, DC 20375, USA.
J Acoust Soc Am. 2007 May;121(5 Pt1):2667-72. doi: 10.1121/1.2715459.
The laboratory implementation of a fault detection and localization method based on inversion of dynamic surface displacements measured by a scanned laser Doppler vibrometer (SLDV) was investigated. The technique uses flexural wave and generalized force inversion algorithms which have previously been demonstrated using simulated noise-free vibration data generated for thick plates with a finite element model. Here these inversion algorithms to SLDV measurements made in the laboratory on a thin nickel plate and a thin carbon fiber composite plate, both having attached reinforcing ribs with intentional de-bonding of the rib/plate interface at a specific location on each structure are applied. The inverted displacement maps clearly detect and locate the detachment, whereas direct observation of the surface displacements does not. It is shown that the technique is relatively robust to the choice of frequency and to the presence of noise.
研究了基于扫描激光多普勒测振仪(SLDV)测量的动态表面位移反演的故障检测与定位方法的实验室实现。该技术使用弯曲波和广义力反演算法,这些算法先前已通过有限元模型为厚板生成的模拟无噪声振动数据得到验证。在此,将这些反演算法应用于在实验室中对薄镍板和薄碳纤维复合板进行的SLDV测量,这两种板都附着有加强肋,且在每个结构的特定位置有意使肋/板界面脱粘。反演的位移图清楚地检测并定位了分离处,而直接观察表面位移则无法做到。结果表明,该技术对频率的选择和噪声的存在具有相对较强的鲁棒性。