Vision‐based algorithms for damage detection and localization in structural health monitoring

Summary Deflection curve can be used to detect and localize damage in civil engineering structures. In this paper, a vision-based method applied for in-plane displacement field measurement of cantilever beams is presented. The deflection curve of the analyzed structure is computed by means of the digital image correlation. Damage is introduced into the structure. Resulting deflection curves are used as an input to the novel damage detection algorithms: line segments method and voting method. The algorithms are then compared with the second derivative method and assessed through the probability of detection procedure. Copyright © 2015 John Wiley & Sons, Ltd.

[1]  Luis A. Escobar,et al.  Teaching about Approximate Confidence Regions Based on Maximum Likelihood Estimation , 1995 .

[2]  Sung-Han Sim,et al.  Structural damage detection using static strain data , 2008 .

[3]  S. Patsias,et al.  Damage Detection Using Optical Measurements and Wavelets , 2002 .

[4]  Brian R. Mace.  The statistics of power flow between two continuous one-dimensional subsystems , 1992 .

[5]  Hui Li,et al.  Fractal Dimension‐Based Damage Detection Method for Beams with a Uniform Cross‐Section , 2011, Comput. Aided Civ. Infrastructure Eng..

[6]  Hui Yong Guo,et al.  Structural Damage Detection Based on Strain Energy and Evidence Theory , 2011 .

[7]  Roberto Rossi,et al.  Hybrid wireless sensor network , 2004, SPIE Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[8]  Tadeusz Uhl,et al.  Advanced structural damage detection : from theory to engineering applications , 2013 .

[9]  Andrzej Sioma,et al.  Assessment of the Condition of Hoisting Ropes by Measuring their Geometric Parameters in a Three-Dimensional Image of their Surface / Metoda Oceny Stanu Lin Wyciągowych Poprzez Pomiar Parametrów Geometrycznych Na Trójwymiarowym Obrazie Ich Powierzchni , 2013 .

[10]  Tadeusz Uhl,et al.  Monitoring of a civil structure’s state based on noncontact measurements , 2013 .

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

[12]  Emanuela Speranzini,et al.  The technique of digital image correlation to identify defects in glass structures , 2014 .

[13]  Tadeusz Uhl,et al.  Structure's Condition Monitoring Based on Optical Measurements , 2012 .

[14]  Tadeusz Uhl,et al.  Vision based condition assessment of structures , 2011 .

[15]  Sara Casciati,et al.  Structural damage detection and localization by response change diagnosis , 2004 .

[16]  Planete Tp tout sur les Travaux publics.  EVACES 09 : International Conference on Experimental Vibration Analysis for Civil Engineering Structures du 14 au 16 octobre à Wroclaw (Pologne) , 2009 .

[17]  Filipe Magalhães,et al.  Recent perspectives in dynamic testing and monitoring of bridges , 2013 .

[18]  Jerzy Sładek,et al.  A structure's deflection measurement and monitoring system supported by a vision system , 2014 .

[19]  Shen Rongying,et al.  Cubic Velocity Feedback Control of High-Amplitude Vibration of a Nonlinear Plant to a Primary Resonance Excitation , 2007 .

[20]  Tadeusz Uhl,et al.  Application of Vision Based Damage Detection for Real Civil Engineering Structure , 2013 .

[21]  Sami F. Masri,et al.  Adaptive vision-based crack detection using 3D scene reconstruction for condition assessment of structures , 2012 .

[22]  Zhengyou Zhang,et al.  A Flexible New Technique for Camera Calibration , 2000, IEEE Trans. Pattern Anal. Mach. Intell..

[23]  Timothy M. Whalen,et al.  Experimental validation of the higher‐order derivative discontinuity method for damage identification , 2008 .

[24]  Ivan Bartoli,et al.  Novel optico-acoustic nondestructive testing for wire break detection in cables , 2013 .

[25]  Maria Q. Feng,et al.  Cost‐effective vision‐based system for monitoring dynamic response of civil engineering structures , 2010 .

[26]  Lijun Wu,et al.  Local positioning systems versus structural monitoring: a review , 2014 .

[27]  Xiao-zhen Chen,et al.  Structural damage identification using test static data based on grey system theory , 2005 .

[28]  N. Gopalakrishnan,et al.  Damage identification of beam‐like structures with contiguous and distributed damage , 2013 .

[29]  S. Shankar Sastry,et al.  An Invitation to 3-D Vision , 2004 .

[30]  Vistasp M. Karbhari,et al.  Improved damage detection method based on Element Modal Strain Damage Index using sparse measurement , 2008 .

[31]  Tadeusz Uhl,et al.  Experimental verification of the damage localization procedure based on modal filtering , 2011 .

[32]  Jing Shi,et al.  Beam damage detection using computer vision technology , 2010 .

[33]  Krzysztof Mendrok,et al.  The application of modal filters for damage detection , 2010 .

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

[35]  Peter Avitabile,et al.  Curvature methods of damage detection using digital image correlation , 2009, Smart Structures and Materials + Nondestructive Evaluation and Health Monitoring.

[36]  Tadeusz Uhl,et al.  Nonlinear acoustics for fatigue crack detection – experimental investigations of vibro-acoustic wave modulations , 2012 .