Vibration-based damage detection techniques used for health monitoring of structures: a review

Structural health monitoring (SHM) techniques have been studied for several years. An effective approach for SHM is to choose the parameters that are sensitive to the damage occurring in the structure but not sensitive to operational or environmental damages. This paper deals with a comparative study among the different vibration-based damage detection methods: fundamental modal examination, local diagnostic method, non-probabilistic methodology and the time series method. All these strategies contemplate different parameters of a structure to recognize damage. Out of the study made, time series analysis proves to more successfully in damage identification than the rest of the methods.

[1]  K. Tseng,et al.  Non-parametric damage detection and characterization using smart piezoceramic material , 2002 .

[2]  P. Mahalanobis.  On the generalized distance in statistics , 1936 .

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

[4]  Ling Yu,et al.  Structural Damage Detection in a Truss Bridge Model Using Fuzzy Clustering and Measured FRF Data Reduced by Principal Component Projection , 2013 .

[5]  George E. P. Box,et al.  Time Series Analysis: Forecasting and Control , 1977 .

[6]  Gabriel V. Garcia,et al.  Damage detection using ARMA model coefficients , 1999, Smart Structures.

[7]  H. Jeffreys,et al.  Theory of probability , 1896 .

[8]  James M. W. Brownjohn,et al.  ARMA modelled time-series classification for structural health monitoring of civil infrastructure , 2008 .

[9]  Mustafa Gul,et al.  Structural health monitoring and damage assessment using a novel time series analysis methodology with sensor clustering , 2011 .

[10]  Charles R. Farrar,et al.  FIELD VERIFICATION OF A NONDESTRUCTIVE DAMAGE LOCALIZATION AND SEVERITY ESTIMATION ALGORITHM , 2002 .

[11]  Hoon Sohn,et al.  A Bayesian Probabilistic Approach for Structure Damage Detection , 1997 .

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

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

[14]  Charles R. Farrar,et al.  Structural health monitoring algorithm comparisons using standard data sets , 2009 .

[15]  Spilios D. Fassois,et al.  Vibration based health monitoring for a lightweight truss structure: experimental assessment of several statistical time series methods , 2010 .

[16]  J. Beck,et al.  Model Selection using Response Measurements: Bayesian Probabilistic Approach , 2004 .

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

[18]  Jianchun Li,et al.  Structural damage detection of controlled building structures using frequency response functions , 2012 .

[19]  Colin A. Taylor,et al.  Damage detection of a reinforced concrete bridge deck using the frequency response function , 1992 .

[20]  V. B. Dawari,et al.  Structural Damage Identification Using Modal Strain Energy Method , 2015 .

[21]  Faramarz Khoshnoudian,et al.  Structural damage diagnosis using modal data , 2011 .

[22]  Yl L. Xu,et al.  Integrated vibration control and health monitoring of building structures using semi-active friction dampers: Part I—methodology , 2008 .

[23]  Spilios D Fassois,et al.  Time-series methods for fault detection and identification in vibrating structures , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

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

[25]  Ling Yu,et al.  Structural Nonlinear Damage Identification Algorithm Based on Time Series ARMA/GARCH Model , 2013 .

[26]  A. C. Okafor,et al.  Delamination Prediction in Composite Beams with Built-In Piezoelectric Devices Using Modal Analysis and Neural Network , 1996 .

[27]  Etienne Balmes,et al.  GARTEUR GROUP ON GROUND VIBRATION TESTING. RESULTS FROM THE TEST OF A SINGLE STRUCTURE BY 12 LABORATORIES IN EUROPE. , 1997 .

[28]  N. Huang,et al.  The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis , 1998, Proceedings of the Royal Society of London. Series A: Mathematical, Physical and Engineering Sciences.

[29]  Pizhong Qiao,et al.  Improved Damage Detection for Beam-type Structures using a Uniform Load Surface , 2007 .

[30]  Hoon Sohn,et al.  VIBRATION-BASED DAMAGE DETECTION USING STATISTICAL PROCESS CONTROL , 2001 .

[31]  Ning Hu,et al.  Structural damage identification using piezoelectric sensors , 2002 .

[32]  V. Askegaard,et al.  Long term observation of RC-bridge using changes in natural frequency , 1988 .

[33]  Daniele Dessi,et al.  Damage identification techniques via modal curvature analysis: Overview and comparison , 2015 .

[34]  Shuqing Wang,et al.  Damage detection in offshore platform structures from limited modal data , 2013 .

[35]  Ling Yu,et al.  Nonlinear damage detection using higher statistical moments of structural responses , 2015 .

[36]  D. Dickey,et al.  Identifying damage locations under ambient vibrations utilizing vector autoregressive models and Mahalanobis distances , 2012 .

[37]  J. Beck,et al.  Updating Models and Their Uncertainties. I: Bayesian Statistical Framework , 1998 .

[38]  Piotr Omenzetter,et al.  Damage classification and estimation in experimental structures using time series analysis and pattern recognition , 2010 .

[39]  Timothy M. Whalen,et al.  The behavior of higher order mode shape derivatives in damaged, beam-like structures , 2008 .

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

[41]  J. Chen,et al.  On-orbit damage assessment for large space structures , 1988 .

[42]  Lambros S. Katafygiotis,et al.  Application of a Statistical Model Updating Approach on Phase I of the IASC-ASCE Structural Health Monitoring Benchmark Study , 2004 .

[43]  Douglas E. Adams,et al.  Health Monitoring of Structural Materials and Components , 2007 .

[44]  Christian Cremona,et al.  Assessment of vibration-based damage identification techniques , 2006 .

[45]  Alan V. Oppenheim,et al.  Discrete-Time Signal Pro-cessing , 1989 .

[46]  D. J. Ewins,et al.  Modal Testing: Theory and Practice , 1984 .

[47]  Hong Hao,et al.  Integrated ARMA model method for damage detection of subsea pipeline system , 2013 .

[48]  Kang Chen,et al.  Cloud Computing: System Instances and Current Research: Cloud Computing: System Instances and Current Research , 2010 .

[49]  James L. Beck,et al.  Bayesian Analysis of the Phase II IASC–ASCE Structural Health Monitoring Experimental Benchmark Data , 2004 .

[50]  Pizhong Qiao,et al.  Vibration-based Damage Identification Methods: A Review and Comparative Study , 2011 .

[51]  Sami F. Masri,et al.  A method for non-parametric damage detection through the use of neural networks , 1998 .

[52]  Walter M. West,et al.  Illustration of the use of modal assurance criterion to detect structural changes in an Orbiter test specimen , 1986 .

[53]  H. Y. Hwang,et al.  Damage detection in structures using a few frequency response measurements , 2004 .

[54]  Hoon Sohn,et al.  Bayesian probabilistic damage detection of a reinforced-concrete bridge column , 2000 .

[55]  David P. Thambiratnam,et al.  Vibration based structural damage detection in flexural members using multi-criteria approach , 2009 .

[56]  Lin Li,et al.  Damage detection method for shear buildings using the changes in the first mode shape slopes , 2011 .

[57]  M. Yuen.  A NUMERICAL STUDY OF THE EIGENPARAMETERS OF A DAMAGED CANTILEVER , 1985 .

[58]  Christopher M. Bishop,et al.  Neural networks for pattern recognition , 1995 .

[59]  Marek Krawczuk,et al.  Improvement of damage detection methods based on experimental modal parameters , 2011 .

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

[61]  Mehdi Modares,et al.  Overview of Structural Health Monitoring for Steel Bridges , 2013 .

[62]  Luciana R. Barroso,et al.  Damage Detection Utilizing the Damage Index Method to a Benchmark Structure , 2004 .

[63]  Darryll J. Pines,et al.  Structural health monitoring using empirical mode decomposition and the Hilbert phase , 2006 .

[64]  Ling Yu,et al.  Cloud Computing-Based Time Series Analysis for Structural Damage Detection , 2017 .

[65]  Samit Ray-Chaudhuri,et al.  Fundamental mode shape and its derivatives in structural damage localization , 2013 .

[66]  Shih-Lin Hung,et al.  Locating damaged storeys in a shear building based on its sub-structural natural frequencies , 2012 .

[67]  Spilios D. Fassois,et al.  A functional model based statistical time series method for vibration based damage detection, localization, and magnitude estimation , 2013 .

[68]  Michael J. Brennan,et al.  Structural damage detection by fuzzy clustering , 2008 .

[69]  Zheng Wei,et al.  Cloud Computing:System Instances and Current Research , 2009 .

[70]  Timothy J. Ross,et al.  Possibilistic Approach for Damage Detection in Structural Health Monitoring , 2007 .

[71]  Claudio Modena,et al.  Damage Localization in Reinforced Concrete Structures by Using Damping Measurements , 1999 .

[72]  Shien-Ming Wu,et al.  Time series and system analysis with applications , 1983 .

[73]  James L. Beck,et al.  Monitoring Structural Health Using a Probabilistic Measure , 2001 .

[74]  G C Lee,et al.  NEURAL NETWORKS TRAINED BY ANALYTICALLY SIMULATED DAMAGE STATES , 1993 .

[75]  S. Mahadevan,et al.  Bayesian Probabilistic Inference for Nonparametric Damage Detection of Structures , 2008 .

[76]  Yl L. Xu,et al.  Integrated vibration control and health monitoring of building structures using semi-active friction dampers: Part II — Numerical investigation , 2008 .

[77]  X. Fang,et al.  Structural damage detection using neural network with learning rate improvement , 2005 .

[78]  Askegaard,et al.  LONG TERM OBSERVATION OF RC-BRIDGE USING CHANGES IN NATURAL FREQUENCY. NORDIC CONCRETE RESEARCH. PUBLICATION NO 7 , 1988 .

[79]  Irina Trendafilova,et al.  Vibration-based damage detection in plates by using time series analysis , 2008 .