DOI QR코드

DOI QR Code

Output-only modal parameter identification of civil engineering structures

  • Ren, Wei-Xin (Department of Civil Engineering, Fuzhou University) ;
  • Zong, Zhou-Hong (Department of Civil Engineering, Fuzhou University)
  • 투고 : 2002.09.25
  • 심사 : 2003.08.20
  • 발행 : 2004.03.25

초록

The ambient vibration measurement is a kind of output data-only dynamic testing where the traffics and winds are used as agents responsible for natural or environmental excitation. Therefore an experimental modal analysis procedure for ambient vibration testing will need to base itself on output-only data. The modal analysis involving output-only measurements presents a challenge that requires the use of special modal identification technique, which can deal with very small magnitude of ambient vibration contaminated by noise. Two complementary modal analysis methods are implemented. They are rather simple peak picking (PP) method in frequency domain and more advanced stochastic subspace identification (SSI) method in time domain. This paper presents the application of ambient vibration testing and experimental modal analysis on large civil engineering structures. A 15 storey reinforced concrete shear core building and a concrete filled steel tubular arch bridge have been chosen as two case studies. The results have shown that both techniques can identify the frequencies effectively. The stochastic subspace identification technique can detect frequencies that may possibly be missed by the peak picking method and gives a more reasonable mode shapes in most cases.

키워드

참고문헌

  1. Abdel-Ghaffer, A.M. and Scanlan, R.H. (1985), "Ambient vibration studies of Golden Gate Bridge. I: Suspendedstructure", J. of Engrg. Mech., ASCE, 111(4), 463-482. https://doi.org/10.1061/(ASCE)0733-9399(1985)111:4(463)
  2. Andersen, P., Brincker, R. and Kirkegaard, P.H. (1996), "Theory of covariance equivalent ARMAV models ofcivil engineering structures", Proc. IMAC14, the 14th Int. Modal Analysis Conf., Dearborn, MI, 518-524.
  3. Bendat, J.S. and Piersol, A.G. (1993), Engineering Applications of Correlation and Spectral Analysis. 2ndedition, John Wiley & Sons, New York, NY.
  4. Brownjohn, J.M.W., Dumanoglu, A.A. and Severn, R.T. (1992), "Ambient vibration survey of the Faith SultanMehmet (Second Bosporus) suspension bridge", Earthq. Engrg. Struct. Dyn., 21, 907-924. https://doi.org/10.1002/eqe.4290211005
  5. Chang, C.C., Chang, T.Y.P. and Zhang, Q.W. (2001), "Ambient vibration of long-span cable-stayed bridge", J.Bridge Engrg., ASCE, 6(1), 46-53. https://doi.org/10.1061/(ASCE)1084-0702(2001)6:1(46)
  6. Cunha, A., Caetano, E. and Delgado, R. (2001), "Dynamic tests on large cable-stayed bridge", J. Bridge Engrg.,ASCE, 6(1), 54-62. https://doi.org/10.1061/(ASCE)1084-0702(2001)6:1(54)
  7. De Roeck, G. and Peeters, B. (1999), MACEC2.0 - Modal Analysis on Civil Engineering Constructions,Department of Civil Engineering, Catholic University of Leuven, Belgium.
  8. De Roeck, G., Peeters, B. and Ren, W.X. (2000), "Benchmark study on system identification through ambientvibration measurements," Proc. IMAC-XVIII, the 18th Int. Modal Analysis Conf., San Antonio, Texas, 1106-1112.
  9. Dyck, C. and Ventura, C.E. (1998), "Ambient vibration measurements of Heritage Court Tower", U.B.C.Earthquake Engineering Research Report, Department of Civil Engineering, University of British Columbia,Canada.
  10. Ewins, D.J. (1986), Modal Testing: Theory and Practice, Research Studies Press Ltd., England.
  11. James III, G.H., Carne, T.G. and Lauffer, J.P. (1995), "The natural excitation technique (NExT) for modalparameter extraction from operating structures", Int. J. Analytical and Experimental Modal Analysis, 10(4),260-277.
  12. Jaishi, B., Ren, W.X., Zong, Z.H. and Maskey, P.N. (2003), "Dynamic and seismic performance of old multitiered temples in Nepal", Engineering Structures, 25(14), 1827-1839. https://doi.org/10.1016/j.engstruct.2003.08.006
  13. Juang, J.N. (1994), Applied System Identification, Prentice-Hall Inc., Englewood Cliffs, New Jersey.
  14. Ljung, L. (1987), System Identification: Theory for the User. Prentice-Hall Inc., Englewood Cliffs, New Jersey.
  15. Okauchi, I., Miyata, T., Tatsumi, M. and Sasaki, N. (1997), "Field vibration test of a long span cable-stayedbridge using large exciters", J. Struct. Engrg./Earthquake Engrg., Tokyo, 14(1), 83-93.
  16. Peeters, B. and De Roeck, G. (2000), "Reference based stochastic subspace identification in civil engineering",Inverse Problems in Engineering, 8(1), 47-74. https://doi.org/10.1080/174159700088027718
  17. Ren, W.X., Harik, I.E., Lenett, M. and Basehearh, T. (2001), "Modal properties of the Roebling SuspensionBridge - FEM modeling and ambient testing," Proc. IMAC-XX: A Conf. on Structural Dynamics, Kissimmee,Florida, February 5-8, 1139-1145.
  18. Ren, W.X., Zhao, T. and Harik, I.E. (2003), "Experimental and analytical modal analysis of a steel arch bridge",accepted by Journal of Structural Engineering, ASCE.
  19. Xu, Y.L., Ko, J.M. and Zhang, W.S. (1997), "Vibration studies of Tsing Ma Suspension Bridge", J. BridgeEngrg., ASCE, 2, 149-156. https://doi.org/10.1061/(ASCE)1084-0702(1997)2:4(149)
  20. Van Overschee, P. and De Moor, B. (1996), Subspace Identification for Linear Systems: Theory, Implementationand Applications, Kluwer Academic Publishers, Dordrecht, Netherlands.

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  1. The effect of time synchronization of wireless sensors on the modal analysis of structures vol.17, pp.5, 2008, https://doi.org/10.1088/0964-1726/17/5/055018
  2. System identification of smart buildings under ambient excitations vol.87, 2016, https://doi.org/10.1016/j.measurement.2016.02.028
  3. Finite element model validation of bridge based on structural health monitoring—Part I: Response surface-based finite element model updating vol.2, pp.4, 2015, https://doi.org/10.1016/j.jtte.2015.06.001
  4. On the use of dispersion analysis for model assessment in structural identification vol.19, pp.15, 2013, https://doi.org/10.1177/1077546313501536
  5. Experimental Evaluation of Dynamic Effects for a Selected Highway Bridge vol.20, pp.3, 2006, https://doi.org/10.1061/(ASCE)0887-3828(2006)20:3(253)
  6. Application of Structural Health Monitoring System for Reliable Seismic Performance Evaluation of Infrastructures vol.15, pp.6, 2012, https://doi.org/10.1260/1369-4332.15.6.955
  7. Dynamic behaviour of a GFRP-steel hybrid pedestrian bridge in serviceability conditions. Part 1: Experimental study vol.117, 2017, https://doi.org/10.1016/j.tws.2017.05.013
  8. Treatment of arbitrarily autocorrelated load functions in the scope of parameter identification vol.126, 2013, https://doi.org/10.1016/j.compstruc.2012.11.021
  9. Periodic seismic performance evaluation of highway bridges using structural health monitoring system vol.31, pp.5, 2009, https://doi.org/10.12989/sem.2009.31.5.527
  10. Operational modal analysis and fatigue life estimation of a chisel plow arm under soil-induced random excitations vol.116, 2018, https://doi.org/10.1016/j.measurement.2017.11.020
  11. DYNAMIC ASSESSMENT OF UNDERWATER PIPELINE SYSTEMS USING STATISTICAL MODEL UPDATING vol.08, pp.02, 2008, https://doi.org/10.1142/S021945540800265X
  12. Operational modal analysis of a rectangular plate using non-contact excitation and measurement vol.332, pp.20, 2013, https://doi.org/10.1016/j.jsv.2013.04.018
  13. Operational modal analysis of an eleven-span concrete bridge subjected to weak ambient excitations vol.151, 2017, https://doi.org/10.1016/j.engstruct.2017.08.066
  14. A NUMERICAL STUDY OF DAMAGE DETECTION OF UNDERWATER PIPELINE USING VIBRATION-BASED METHOD vol.12, pp.03, 2012, https://doi.org/10.1142/S0219455412500216
  15. Modal Identification for High-Rise Building Structures Using Orthogonality of Filtered Response Vectors vol.32, pp.12, 2017, https://doi.org/10.1111/mice.12310
  16. Instantaneous frequency identification of time-varying structures by continuous wavelet transform vol.52, 2013, https://doi.org/10.1016/j.engstruct.2013.02.006
  17. Operational Modal Parameter Identification Based on Covariance-Driven Continuous Wavelet Transform and Singular Value Decomposition vol.16, pp.3, 2013, https://doi.org/10.1260/1369-4332.16.3.579
  18. Accurate and efficient calculation of discrete correlation functions and power spectra vol.347, 2015, https://doi.org/10.1016/j.jsv.2015.02.026
  19. Dynamic Identification of a Concrete Bridge with Orthotropic Plate-Type Deck vol.136, pp.5, 2010, https://doi.org/10.1061/(ASCE)ST.1943-541X.0000146
  20. A Comparative Study on Sensitivity-Based Damage Detection Methods in Bridges vol.2015, 2015, https://doi.org/10.1155/2015/120630
  21. The Simulation and Application Research of an Improved SSI Algorithm vol.8, pp.9, 2013, https://doi.org/10.4304/jsw.8.9.2246-2252
  22. Optimal reduction from an initial sensor deployment along the deck of a cable-stayed bridge vol.17, pp.3, 2016, https://doi.org/10.12989/sss.2016.17.3.523
  23. Radar Interferometry for Monitoring the Vibration Characteristics of Buildings and Civil Structures: Recent Case Studies in Spain vol.17, pp.4, 2017, https://doi.org/10.3390/s17040669
  24. Analytical mode decomposition with Hilbert transform for modal parameter identification of buildings under ambient vibration vol.59, 2014, https://doi.org/10.1016/j.engstruct.2013.10.020
  25. Operational modal analysis of structures by stochastic subspace identification with a delay index vol.59, pp.1, 2016, https://doi.org/10.12989/sem.2016.59.1.187
  26. Experimental and analytical studies on dynamic characteristics of a large span cable-stayed bridge vol.27, pp.4, 2005, https://doi.org/10.1016/j.engstruct.2004.11.013
  27. Finite element model updating based on eigenvalue and strain energy residuals using multiobjective optimisation technique vol.21, pp.5, 2007, https://doi.org/10.1016/j.ymssp.2006.09.008
  28. Modal identification of a jacket-type offshore structure using dynamic tilt responses and investigation of tidal effects on modal properties vol.49, 2013, https://doi.org/10.1016/j.engstruct.2012.12.015
  29. AOSID: An analytical solution to the output-only system identification problem to estimate physical parameters and unknown input simultaneously vol.24, pp.8, 2017, https://doi.org/10.1002/stc.1951
  30. EMD-based stochastic subspace identification of structures from operational vibration measurements vol.27, pp.12, 2005, https://doi.org/10.1016/j.engstruct.2005.04.016
  31. Development of a numerical model for bridge–vehicle interaction and human response to traffic-induced vibration vol.30, pp.12, 2008, https://doi.org/10.1016/j.engstruct.2008.06.015
  32. Progressive finite element model calibration of a long-span suspension bridge based on ambient vibration and static measurements vol.32, pp.9, 2010, https://doi.org/10.1016/j.engstruct.2010.04.028
  33. Finite element analysis of vehicle–bridge interaction vol.42, pp.11, 2006, https://doi.org/10.1016/j.finel.2006.01.014
  34. Full scale monitoring of the twin chimneys of the rovinari power plant vol.24, 2015, https://doi.org/10.1051/matecconf/20152404001
  35. Identification of Modal Parameters of a Multistoried RC Building Using Ambient Vibration and Strong Vibration Records of Bhuj Earthquake, 2001 vol.18, pp.3, 2014, https://doi.org/10.1080/13632469.2013.856823
  36. Collapse Failure of Prestressed Concrete Continuous Rigid-Frame Bridge under Strong Earthquake Excitation: Testing and Simulation vol.21, pp.9, 2016, https://doi.org/10.1061/(ASCE)BE.1943-5592.0000912
  37. Effectiveness of Nondestructive Methods for the Evaluation of Structures Affected by Internal Swelling Reactions: A Review of Electric, Seismic and Acoustic Methods Based on Laboratory and Site Experiences vol.39, pp.2, 2015, https://doi.org/10.1111/ext.12010
  38. An Enhanced Power Spectral Density Transmissibility (EPSDT) approach for operational modal analysis: Theoretical and experimental investigation vol.102, 2015, https://doi.org/10.1016/j.engstruct.2015.08.009
  39. Baseline finite element modeling of a large span cable-stayed bridge through field ambient vibration tests vol.83, pp.8-9, 2005, https://doi.org/10.1016/j.compstruc.2004.11.013
  40. Parameters identification for a coupled bridge-vehicle system with spring-mass attachments vol.219, pp.17, 2013, https://doi.org/10.1016/j.amc.2013.03.047
  41. Experimental modal analysis of transverse-cracked rails-influence of the cracks on the real track behavior vol.52, pp.5, 2014, https://doi.org/10.12989/sem.2014.52.5.1019
  42. EMD-based random decrement technique for modal parameter identification of an existing railway bridge vol.33, pp.4, 2011, https://doi.org/10.1016/j.engstruct.2011.01.012
  43. Structural Damage Detection with Cross Correlation Function of Vibration Observations vol.163-167, pp.1662-8985, 2010, https://doi.org/10.4028/www.scientific.net/AMR.163-167.2776
  44. Review and Prospect on Modal Parameter Identification of Spatial Lattice Structure Based on Ambient Excitation vol.94-96, pp.1662-7482, 2011, https://doi.org/10.4028/www.scientific.net/AMM.94-96.1271
  45. Modal Experiment and Analysis of a Self-Anchored Suspension Bridge vol.530-531, pp.1662-7482, 2014, https://doi.org/10.4028/www.scientific.net/AMM.530-531.284
  46. Efficient and Accurate Calculation of Discrete Frequency Response Functions and Impulse Response Functions vol.138, pp.3, 2016, https://doi.org/10.1115/1.4031998
  47. The Dynamic Properties of Historic Timber-Framed Masonry Structures in Bursa, Turkey vol.2018, pp.1875-9203, 2018, https://doi.org/10.1155/2018/3257434
  48. Modal identification of arch dams using balanced stochastic subspace identification vol.24, pp.10, 2018, https://doi.org/10.1177/1077546316675038
  49. Modal plot-System identification and fault detection pp.15452255, 2019, https://doi.org/10.1002/stc.2347
  50. Operational modal identification of structures based on improved empirical wavelet transform vol.26, pp.3, 2019, https://doi.org/10.1002/stc.2323
  51. Feasibility of Output-Only Modal Identification Using Wireless Sensor Network: A Quantitative Field Experimental Study vol.8, pp.11, 2004, https://doi.org/10.1155/2012/560161
  52. Blind Source Separation Based Dynamic Parameter Identification of a Multi-Story Moment-Resisting Frame Building under Seismic Ground Motions vol.54, pp.None, 2004, https://doi.org/10.1016/j.proeng.2013.03.027
  53. Damage detection on output-only monitoring of dynamic curvature in composite decks vol.4, pp.1, 2004, https://doi.org/10.12989/smm.2017.4.1.001
  54. Application of the Subspace-Based Methods in Health Monitoring of Civil Structures: A Systematic Review and Meta-Analysis vol.10, pp.10, 2004, https://doi.org/10.3390/app10103607
  55. Riding Comfort Evaluation Based on Longitudinal Acceleration for Urban Rail Transit-Mathematical Models and Experiments in Beijing Subway vol.12, pp.11, 2004, https://doi.org/10.3390/su12114541
  56. Seismic Performance of Steel-Concrete Composite Rigid-Frame Bridge: Shake Table Test and Numerical Simulation vol.25, pp.7, 2004, https://doi.org/10.1061/(asce)be.1943-5592.0001558
  57. Experimental and Numerical Study on Dynamics of Two Footbridges with Different Shapes of Girders vol.10, pp.13, 2004, https://doi.org/10.3390/app10134505
  58. Simplified vehicle-bridge interaction for medium to long-span bridges subject to random traffic load vol.10, pp.4, 2004, https://doi.org/10.1007/s13349-020-00413-4
  59. Structural Health Monitoring of Steel Frame Structure by Experimental Modal Parameter Identification vol.37, pp.None, 2020, https://doi.org/10.4028/www.scientific.net/aef.37.1
  60. Modal parameter identification of a multiple-span post-tensioned concrete bridge using hybrid vibration testing data vol.219, pp.None, 2004, https://doi.org/10.1016/j.engstruct.2020.110953
  61. Safety evaluation of LD27-2 WHPB platform based on rod pumping vol.10, pp.8, 2020, https://doi.org/10.1007/s13202-020-00928-y
  62. Modal Identification of damped vibrating systems by iterative smooth orthogonal decomposition method vol.24, pp.4, 2004, https://doi.org/10.1177/1369433220968442
  63. Forced-Vibration Tests of a Reinforced Concrete Four-Story Building Structure vol.147, pp.7, 2004, https://doi.org/10.1061/(asce)st.1943-541x.0003011
  64. Using a Single-DOF Test Vehicle to Simultaneously Retrieve the First Few Frequencies and Damping Ratios of the Bridge vol.21, pp.8, 2004, https://doi.org/10.1142/s021945542150108x
  65. Identifying Modal Parameters of a Multispan Bridge Based on High-Rate GNSS-RTK Measurement Using the CEEMD-RDT Approach vol.26, pp.8, 2021, https://doi.org/10.1061/(asce)be.1943-5592.0001754