Dynamics-based Damage Inspection of an Aircraft Wing Panel

This paper presents damage detection of an aircraft wing panel using dynamic responses. The panel has an irregular shape, varying thickness, seven ribs on its backside, and defects. An in-house finite element code GESA (Geometrically Exact Structural Analysis) was used to model the panel using 528 DKT plate elements and to obtain mode shapes and natural frequencies, and experimental dynamic characteristics and Operational Deflection Shapes (ODSs) were measured using a scanning laser vibrometer. Results show that numerical dynamic characteristics agree well with experimental ones. Six defects were created in the panel, including four small nuts glued on the backside and two small slots cut by electron discharge machining. Detection of the six defects was performed using the distributions of RMS velocities under high-frequency broadband periodic chirp excitations provided by a PZT patch and damage locating curves obtained by processing experimental ODSs using a newly developed Boundary Effect Evaluation (BEE) method. The BEE method is nondestructive and model-independent; it processes experimental ODSs to reveal local boundary effects caused by defects. Experimental results show that the six small defects in the panel can be pinpointed using the approach.

[1]  Charles R. Farrar,et al.  Damage identification and health monitoring of structural and mechanical systems from changes in their vibration characteristics: A literature review , 1996 .

[2]  P. Frank Pai,et al.  Locating Structural Defects Using Operational Deflection Shapes , 2000 .

[3]  Gian Marco Revel,et al.  Damage detection and characterization by processing laser vibrometer measurement results: application to composite materials , 1998, Other Conferences.

[4]  P. Frank Pai,et al.  Detection of Defects in Circular Plates using a Scanning Laser Vibrometer , 2002 .

[5]  Charles R. Farrar,et al.  A summary review of vibration-based damage identification methods , 1998 .

[6]  P. Frank Pai,et al.  A Dynamics-based Method for Crack Detection and Estimation , 2003 .

[7]  P. F. Pai,et al.  LOCATING STRUCTURAL DAMAGE BY DETECTING BOUNDARY EFFECTS , 2000 .

[8]  De Yu Zang,et al.  Detection of earthquake-induced damage in concrete structures using a laser vibrometer , 1998, Other Conferences.

[9]  P. Frank Pai,et al.  Damage detection of beams using operational deflection shapes , 2001 .

[10]  Heinz Franke,et al.  Laser-scanning vibrometry for defect analysis , 1998, Other Conferences.

[11]  J. A. Stricklin,et al.  A rapidly converging triangular plate element , 1969 .

[12]  J. Dugundji Simple expressions for higher vibration modes of uniform Euler beams , 1988 .

[13]  Huai Min Shang,et al.  Nondestructive assessment of thinning of plates using digital shearography , 1999 .

[14]  L. Meirovitch Analytical Methods in Vibrations , 1967 .

[15]  Tai-Yan Kam,et al.  Crack size identification using an expanded mode method , 1994 .

[16]  Klaus-Jürgen Bathe,et al.  A study of three‐node triangular plate bending elements , 1980 .

[17]  Enrico Primo Tomasini,et al.  Non-invasive measurements of damage of frescoes paintings and icon by laser scanning vibrometer : experimental results on artificial samples and real works of art , 2000 .

[18]  H. Saunders,et al.  Structural Integrity Monitoring , 1985 .

[19]  D. J. Ewins,et al.  Detecting damage in vibrating structures with a scanning LDV , 1999 .