Damage assessment in a sandwich panel based on full-field vibration measurements

Abstract Different studies have demonstrated that vibration characteristics are sensitive to debonding in composite structures. Nevertheless, one of the main restrictions of vibration measurements is the number of degrees of freedom that can be acquired simultaneously, which restricts the size of the damage that can be identified. Recent studies have shown that it is possible to use high-speed three-dimensional (3-D) digital image correlation (DIC) techniques for full-field vibration measurements. With this technique, it is possible to take measurements at thousands of points on the surface of a structure with a single snapshot. The present article investigates the application of full-field vibration measurements in the debonding assessment of an aluminium honeycomb sandwich panel. Experimental data from an aluminium honeycomb panel containing different damage scenarios is acquired by a high-speed 3-D DIC system; four methodologies to compute damage indices are evaluated: mode shape curvatures, uniform load surface, modal strain energy and gapped smoothing.

[1]  L. H. Yam,et al.  Identification of damage locations for plate-like structures using damage sensitive indices: strain modal approach , 2002 .

[2]  E. Peter Carden,et al.  Vibration Based Condition Monitoring: A Review , 2004 .

[3]  Tomasz Sadowski,et al.  Influence of skin/core debonding on free vibration behavior of foam and honeycomb cored sandwich plates , 2010 .

[4]  Xinxing Shao,et al.  Strain field estimation based on digital image correlation and radial basis function , 2015 .

[5]  J. Mottershead,et al.  Frequency response functions of shape features from full-field vibration measurements using digital image correlation , 2012 .

[6]  Ahmet E. Aktan,et al.  Application of Modal Flexibility and Its Derivatives in Structural Identification , 1998 .

[7]  J. Vinson.  Sandwich Structures: Past, Present, and Future , 2005 .

[8]  Peter Avitabile,et al.  3D digital image correlation methods for full-field vibration measurement , 2011 .

[9]  Howard L. Weinert,et al.  Efficient computation for Whittaker-Henderson smoothing , 2007, Comput. Stat. Data Anal..

[10]  Pizhong Qiao,et al.  Curvature mode shape-based damage detection in composite laminated plates , 2007 .

[11]  John E. Mottershead,et al.  Finite element model updating from full-field vibration measurement using digital image correlation , 2011 .

[12]  H. Lopes,et al.  Damage Localisation in Composite Laminated Plates using Higher Order Spatial Derivatives , 2012 .

[13]  Liping Lei,et al.  Improved Hermite finite element smoothing method for full-field strain measurement over arbitrary region of interest in digital image correlation , 2012 .

[14]  Robert D. Adams,et al.  The location of defects in structures from measurements of natural frequencies , 1979 .

[15]  K. M. Liew,et al.  Vibratory behaviour of delaminated honeycomb structures: A 3-D finite element modelling , 1995 .

[16]  Thomas Becker,et al.  High-speed digital image correlation: error estimations and applications , 2007 .

[17]  Wei-Xin Ren,et al.  Damage detection by finite element model updating using modal flexibility residual , 2006 .

[18]  V. Meruane,et al.  An inverse parallel genetic algorithm for the identification of skin/core debonding in honeycomb aluminium panels , 2015 .

[19]  Martin Hagara,et al.  Experimental modal analysis performed by high-speed digital image correlation system , 2014 .

[20]  F. E. Grubbs.  Procedures for Detecting Outlying Observations in Samples , 1969 .

[21]  Cory Foreman.  Nondestructive detection and characterization of damages in honeycomb composite structures , 2008 .

[22]  Woonbong Hwang,et al.  Effect of debonding on natural frequencies and frequency response functions of honeycomb sandwich beams , 2002 .

[23]  S. Law,et al.  Structural damage localization from modal strain energy change , 1998 .

[24]  Alejandro Ortiz-Bernardin,et al.  A Maximum Entropy Approach to Assess Debonding in Honeycomb aluminum Plates , 2014, Entropy.

[25]  Nam Seo Goo,et al.  Modal Analysis Using Digital Image Correlation Technique: An Application to Artificial Wing Mimicking Beetle’s Hind Wing , 2015, Experimental Mechanics.

[26]  Brian Hayman,et al.  Approaches to Damage Assessment and Damage Tolerance for FRP Sandwich Structures , 2007 .

[27]  A. Asundi,et al.  Digital image correlation using iterative least squares and pointwise least squares for displacement field and strain field measurements , 2009 .

[28]  Xue-Rong Yao,et al.  Application of iteration and finite element smoothing technique for displacement and strain measurement of digital speckle correlation , 2007 .

[29]  Damien Garcia,et al.  Robust smoothing of gridded data in one and higher dimensions with missing values , 2010, Comput. Stat. Data Anal..

[30]  Charles R. Farrar,et al.  Application of the strain energy damage detection method to plate-like structures , 1999 .

[31]  S. S. Law,et al.  Damage localization in plate structures from uniform load surface curvature , 2004 .

[32]  Colin P. Ratcliffe,et al.  Local damage detection using the two-dimensional gapped smoothing method , 2005 .

[33]  Thorsten Siebert,et al.  High speed image correlation for vibration analysis , 2009 .

[34]  Siu-Seong Law,et al.  Sensitivity of Uniform Load Surface Curvature for Damage Identification in Plate Structures , 2005 .

[35]  Tomasz Sadowski,et al.  Dynamic behaviour of sandwich plates containing single/multiple debonding , 2011 .

[36]  Joseph Morlier,et al.  Damage monitoring in sandwich beams by modal parameter shifts: a comparative study of burst random and sine dwell vibration testing , 2010 .

[37]  Li Ma,et al.  Effects of local damage on vibration characteristics of composite pyramidal truss core sandwich structure , 2014 .

[38]  A. K. Pandey,et al.  Damage Detection in Structures Using Changes in Flexibility , 1994 .

[39]  Arun Kumar Pandey,et al.  Damage detection from changes in curvature mode shapes , 1991 .