Mass-Stiffness Combined Perturbation Method for Mode Shape Monitoring of Bridge Structures

Identification of the mode shapes through monitoring is one of the key problems in damage diagnosis based on modal parameters especially for damaged structures. In order to obtain mode shapes of damaged structures easily and accurately, the mass-stiffness combined perturbation (MSCP) method is proposed in this paper. To do so, the relationship between the stiffness perturbation mode shapes of damaged and intact structures is firstly derived and established. Then, the principle of similar frequency is applied to optimize the objective function of the most suitable mass perturbation model. Both numerical analyses and experimental tests on simple and complex structures demonstrate that the proposed MSCP method achieves higher precision than traditional mode shape identification methods. The additional advantages of the MSCP method include (i) lower requirement on the frequency analysis of only damaged structures and (ii) higher effectiveness for minor damage scenarios. In fact, the lower the damage, the higher the precision achieved by the MSCP method. As illustrated in the paper, the proposed technique has excellent applications in mode shapes identification and structural health monitoring.

[1]  Tao Liu,et al.  Finite Element Model Updating of Canonica Bridge Using Experimental Modal Data and Genetic Algorithm , 2016 .

[2]  Xuhui He,et al.  Effects of vertical ground motions on seismic vulnerabilities of a continuous track-bridge system of high-speed railway , 2018, Soil Dynamics and Earthquake Engineering.

[3]  Qiuhai Lu,et al.  MULTIPLE DAMAGE LOCATION WITH FLEXIBILITY CURVATURE AND RELATIVE FREQUENCY CHANGE FOR BEAM STRUCTURES , 2002 .

[4]  H. Abdul Razak,et al.  The effect of corrosion on the natural frequency and modal damping of reinforced concrete beams , 2001 .

[5]  Zhang Yimin,et al.  Stochastic perturbation finite elements , 1996 .

[6]  Ivana Mekjavić Identification of Structural Damage in Bridges Using High-Frequency Vibrational Responses , 2015 .

[7]  Samit Ray-Chaudhuri,et al.  Location sensitivity of fundamental and higher mode shapes in localization of damage within a building , 2016 .

[8]  Chi-Hung Huang,et al.  STRUCTURAL IDENTIFICATION FROM AMBIENT VIBRATION MEASUREMENT USING THE MULTIVARIATE AR MODEL , 2001 .

[9]  Masoud Sanayei,et al.  Significance of Modeling Error in Structural Parameter Estimation , 2001 .

[10]  Wenxian Yang,et al.  Condition Monitoring and Damage Location of Wind Turbine Blades by Frequency Response Transmissibility Analysis , 2015, IEEE Transactions on Industrial Electronics.

[11]  Pierre Argoul,et al.  Modal identification using the frequency-scale domain decomposition technique of ambient vibration responses , 2016 .

[12]  Glauco Feltrin,et al.  Damage Identification Using Modal Data: Experiences on a Prestressed Concrete Bridge , 2005 .

[13]  Norris Stubbs,et al.  Damage identification in beam-type structures: frequency-based method vs mode-shape-based method , 2003 .

[14]  N. Khaji,et al.  New damage indices and algorithm based on square time–frequency distribution for damage detection in concrete piers of railroad bridges , 2015 .

[15]  Bin Li,et al.  Sensitivity analysis of modal assurance criteria of damped systems , 2017 .

[16]  V. B. Dawari,et al.  Structural damage identification of beam structures using two stage method based on modal strain energy indicators and artificial neural networks , 2016 .

[17]  Xuhui He,et al.  Numerical investigation on scaling a pure friction isolation system for civil structures in shaking table model tests , 2018 .

[18]  Fabrizio Vestroni,et al.  DAMAGE DETECTION IN BEAM STRUCTURES BASED ON FREQUENCY MEASUREMENTS , 2000 .

[19]  Sanghyun Choi,et al.  Modal Property Changes of a Seismically Damaged Concrete Bridge , 2005 .

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

[21]  Alireza Rahai,et al.  Theoretical and experimental structural damage diagnosis method using natural frequencies through an improved sensitivity equation , 2013 .

[22]  Hongping Zhu,et al.  Damage identification in beam type structures based on statistical moment using a two step method , 2014 .

[23]  Martin Vetterli,et al.  Fast Fourier transforms: a tutorial review and a state of the art , 1990 .

[24]  Y. J. Yan,et al.  Damage Detection Method for Composite Structures Based on a Combined Technique of Cross Modal Strain Energy and Niche Genetic Algorithms , 2010 .

[25]  Yong Xia,et al.  DAMAGE DETECTION OF SHEAR CONNECTORS IN BRIDGE STRUCTURES WITH TRANSMISSIBILITY IN FREQUENCY DOMAIN , 2014 .

[26]  Yi-Qing Ni,et al.  Damage Localization of Cable-Supported Bridges Using Modal Frequency Data and Probabilistic Neural Network , 2014 .

[27]  Chih-Chen Chang,et al.  AMBIENT VIBRATION OF LONG-SPAN CABLE-STAYED BRIDGE , 2001 .

[28]  Tommy H.T. Chan,et al.  An improved modal strain energy method for structural damagedetection, 2D simulation , 2015 .

[29]  Jiangqi Long,et al.  Identification of damage locations based on operating deflection shape , 2013 .

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

[31]  Michael D. Todd,et al.  A New Transmissibility Analysis Method for Detection and Location of Damage via Nonlinear Features in MDOF Structural Systems , 2015, IEEE/ASME Transactions on Mechatronics.

[32]  Ouali Mohammed,et al.  Experimental damage localization in beam by using natural frequency distribution and modal strain energy change ratio based methods , 2015 .

[33]  Anjan Dutta,et al.  Damage detection in bridges using accurate modal parameters , 2004 .

[34]  Daniel G. Linzell,et al.  Optimization of Design Details in Orthotropic Steel Decks Subjected to Static and Fatigue Loads , 2013 .

[35]  E. J. Williams,et al.  A Multiple-Damage Location Assurance Criterion Based on Natural Frequency Changes , 1998 .

[36]  Limin Sun,et al.  Effect of concrete carbonation on natural frequency of reinforced concrete beams , 2017 .

[37]  Vojkan Jaksic,et al.  Perturbation Theory of W*-Dynamics, Liouvilleans and KMS-States , 2003 .

[38]  Zubaidah Ismail,et al.  Approach to Reduce the Limitations of Modal Identification in Damage Detection Using Limited Field Data for Nondestructive Structural Health Monitoring of a Cable-Stayed Concrete Bridge , 2012 .

[39]  Rumian Zhong,et al.  A Multiscale Finite Element Model Validation Method of Composite Cable-Stayed Bridge Based on Structural Health Monitoring System , 2015 .

[40]  S. Narasimhan,et al.  Mode Shape Expansion for Lively Pedestrian Bridges through Kriging , 2016 .