Monitoring Crack Propagation in Reinforced Concrete Shear Walls by Acoustic Emission

AbstractIn the last two decades, several efforts have been made to monitor the cracking behavior in RC structures. A technique that shows promise is acoustic emission (AE). This paper presents the results of an experimental study aimed at monitoring fracture processes in a large-scale RC shear wall using one of the most important AE parameters, that is, the b-value. The specimen was subjected to a displacement controlled reversed cyclic loading. A Gaussian filter is proposed to improve the interpretation of b-value data obtained during the test. In addition, a cluster analysis based on the k-means is presented to automatically classify the signal into tensile and shear cluster. Finally, a new algorithm called Sifted b-value (Sb) analysis is introduced to monitor the evolution of each crack mode. The proposed approach is capable to identify the initial yielding and eventually provide an early warning for the planning and implementation of remedial action to the structure at a point at which it is less expe...

[1]  Salvatore Salamone,et al.  Detection of Initial Yield and Onset of Failure in Bonded Posttensioned Concrete Beams , 2012 .

[2]  Masayasu Ohtsu,et al.  DAMAGE ASSESSMENT OF REINFORCED CONCRETE BEAMS QUALIFIED BY ACOUSTIC EMISSION , 2002 .

[3]  Joshua F. Rocks,et al.  Large Scale Testing of Low Aspect Ratio Reinforced Concrete Walls , 2012 .

[4]  Nathalie Godin,et al.  Integration of the Kohonen's self-organising map and k-means algorithm for the segmentation of the AE data collected during tensile tests on cross-ply composites , 2005 .

[5]  Theodoros Loutas,et al.  On the identification of the failure mechanisms in oxide/oxide composites using acoustic emission , 2003 .

[6]  Y. Ribakov,et al.  Effectiveness of nonlinear ultrasonic and acoustic emission evaluation of concrete with distributed damages , 2010 .

[7]  Alan L. Yuille,et al.  Scaling Theorems for Zero Crossings , 1987, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[8]  D. Aggelis Classification of cracking mode in concrete by acoustic emission parameters , 2011 .

[9]  Andrew P. Witkin,et al.  Scale-space filtering: A new approach to multi-scale description , 1984, ICASSP.

[10]  Shi-Nine Yang,et al.  Automatic determination of the spread parameter in Gaussian smoothing , 1996, Pattern Recognit. Lett..

[11]  Rosa Piotrkowski,et al.  Third-order spectral characterization of acoustic emission signals in ring-type samples from steel pipes for the oil industry $ , 2007 .

[12]  Masayasu Ohtsu,et al.  Acoustic Emission Testing , 2006, Advanced Materials Research.

[13]  Michael Forde,et al.  Assessing Damage of Reinforced Concrete Beam using b -value Analysis of Acoustic Emission Signals , 2003 .

[14]  M. Ohtsu Recommendation of RILEM TC 212-ACD: acoustic emission and related NDE techniques for crack detection and damage evaluation in concrete* Test method for classification of active cracks in concrete structures by acoustic emission , 2010 .

[15]  K. Worden,et al.  Visualisation and Dimension Reduction of Acoustic Emission Data for Damage Detection , 1999 .

[16]  Masayasu Ohtsu,et al.  Crack classification in concrete based on acoustic emission , 2010 .

[17]  Mjn Priestley,et al.  Design of seismic retrofit measures for concrete and masonry structures , 1995 .

[18]  Christian U. Grosse,et al.  Stress Drop and Stress Redistribution in Concrete Quantified Over Time by the b-value Analysis , 2006 .

[19]  M. Ohtsu,et al.  Phenomenological Model of Corrosion Process in Reinforced Concrete Identified by Acoustic Emission , 2007 .

[20]  Hr Hardy Application of Acoustic Emission Techniques to Rock Mechanics Research , 1972 .

[21]  Andrew S. Whittaker,et al.  Acoustic emission monitoring of a reinforced concrete shear wall by b-value–based outlier analysis , 2013 .

[22]  Michael Forde,et al.  AE energy analysis on concrete bridge beams , 2005 .

[23]  Dimitrios G. Aggelis,et al.  Assessment of Construction Joint Effect in Full-Scale Concrete Beams by Acoustic Emission Activity , 2010 .

[24]  S. Puzzi,et al.  Critical defect size distributions in concrete structures detected by the acoustic emission technique , 2008 .

[25]  T. Shiotani Application of the AE Improved b-Value to Quantiative Evaluation of Fracture Process in Concrete-Materials , 2001 .

[26]  N. Barkoula,et al.  Acoustic emission behavior of steel fibre reinforced concrete under bending , 2009 .

[27]  Thomas Schumacher,et al.  Estimating Operating Load Conditions on Reinforced Concrete Highway Bridges with b-value Analysis from Acoustic Emission Monitoring , 2011 .

[28]  Vassilis Kostopoulos,et al.  Failure mechanisms analysis of 2D carbon/carbon using acoustic emission monitoring , 1998 .

[29]  Nikos A. Vlassis,et al.  The global k-means clustering algorithm , 2003, Pattern Recognit..

[30]  Hongyu Zhou,et al.  Rehabilitation and strength sustainability of fatigue damaged concrete–encased steel flexural members using a newly developed polymeric carbon–fiber composite , 2013 .

[31]  Nathalie Godin,et al.  Clustering of acoustic emission signals collected during tensile tests on unidirectional glass/polyester composite using supervised and unsupervised classifiers , 2004 .

[32]  Masayasu Ohtsu,et al.  Compressive failure in concrete of recycled aggregate by acoustic emission , 2007 .

[33]  Sandeep Degala ACOUSTIC EMISSION MONITORING OF REINFORCED CONCRETE SYSTEMS RETROFITTED WITH CFRP , 2008 .

[34]  S. Yuyama,et al.  Quantitative analysis of fracture process in RC column foundation by moment tensor analysis of acoustic emission , 1999 .

[35]  Andrew S. Whittaker,et al.  Fragility functions for low aspect ratio reinforced concrete walls , 2010 .