Single and multiple crack localization in beam-like structures using a Gaussian process regression approach

A crack or a localized damage in a structure provokes a discontinuity in the rotation. Consequently, mode-shapes are nonsmooth at the damage position and the first derivative (strictly related to the rotation) presents a jump discontinuity. Based on this simple concept, a new approach has been developed in order to predict the location of the mode-shape derivative discontinuities, and therefore the location of damage, without the need to directly differentiate. This approach applies a Gaussian process regression to the mode-shape data, using a covariance function which allows for a nonsmooth point; this point, which indicates the crack position, can be determined by a maximum likelihood algorithm. Using a finite-element model of a cracked beam, the performance of this methodology has been analyzed for the case of single crack and multiple cracks, for increasing amounts of noise. The effects of several parameters (damage position, damage severity, number of measurement points and of considered mode-shapes) on the approach accuracy have also been investigated. Finally, the method has been verified using experimental data coming from a vibrating steel beam with a cut. Results are encouraging and indicate that further developments of the technique for nondestructive testing of beam-like structures would be highly worthwhile.

[1]  Cecilia Surace,et al.  On the use of the polynomial annihilation edge detection for locating cracks in beam-like structures , 2013 .

[2]  Biswajit Basu,et al.  On the effect of spatial sampling in damage detection of cracked beams by continuous wavelet transform , 2015 .

[3]  Chih-Chieh Chang,et al.  Detection of the location and size of cracks in the multiple cracked beam by spatial wavelet based approach , 2005 .

[4]  Cecilia Surace,et al.  Damage localisation in plate like-structures using the two-dimensional polynomial annihilation edge detection method , 2014 .

[5]  James Hensman,et al.  Detecting mode-shape discontinuities without differentiation – examining a Gaussian process approach , 2011 .

[6]  A. O'Hagan,et al.  Curve Fitting and Optimal Design for Prediction , 1978 .

[7]  Xiaomin Deng,et al.  Damage detection with spatial wavelets , 1999 .

[8]  J. Hensman,et al.  Damage localisation in delaminated composite plates using a Gaussian process approach , 2015 .

[9]  Cecilia Surace,et al.  Structural Damage Detection Using the Polynomial Annihilation Edge Detection Method , 2014 .

[10]  Biswajit Basu,et al.  A padding method to reduce edge effects for enhanced damage identification using wavelet analysis , 2015 .

[11]  C. M. Mota Soares,et al.  A numerical-experimental method for damage location based on rotation fields spatial differentiation , 2011 .

[12]  James Hensman,et al.  A Gaussian process approach to locate cracks in plate-like structures , 2014 .

[13]  S. Loutridis,et al.  CRACK IDENTIFICATION IN BEAMS USING WAVELET ANALYSIS , 2003 .

[14]  J.-S. Jiang,et al.  The dynamic behaviour and crack detection of a beam with a crack , 1990 .

[15]  Muneo Hori,et al.  A NUMERICAL STUDY OF STRUCTURAL DAMAGE DETECTION USING CHANGES IN THE ROTATION OF MODE SHAPES , 2002 .

[16]  O. S. Salawu Detection of structural damage through changes in frequency: a review , 1997 .

[17]  Charles R. Farrar,et al.  Structural Health Monitoring: A Machine Learning Perspective , 2012 .

[18]  David J. C. MacKay,et al.  Information Theory, Inference, and Learning Algorithms , 2004, IEEE Transactions on Information Theory.

[19]  Cecilia Surace,et al.  Detection and Localisation of Structural Damage Based on the Polynomial Annihilation Edge Detection: An Experimental Verification , 2013 .

[20]  Cecilia Surace,et al.  Comparing Three Derivative Discontinuities Detection Methods for the Localisation of Cracks in Beam-like Structures , 2015 .

[21]  Christopher K. I. Williams,et al.  Gaussian Processes for Machine Learning (Adaptive Computation and Machine Learning) , 2005 .

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