Steel and Composite Structures

  • 제28권2호
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  • Pages.223-231
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  • 2018
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  • 1229-9367(pISSN)
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  • 1598-6233(eISSN)
테크노프레스 (Techno-Press)
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DOI QR코드

DOI QR Code

GFRP retrofitting effect on the dynamic characteristics of model steel structure

  • Tuhta, Sertac (Ondokuz Mayis University, Faculty of Engineering, Department of Civil Engineering)
  • 투고 : 2018.01.18
  • 심사 : 2018.05.15
  • 발행 : 2018.07.25
⟨ 이전 논문 다음 논문 ⟩

초록

Nowadays, there are a great number of various structures that have been retrofitted by using different FRP Composites. Due to this, more researches need to be conducted to know more the characteristics of these structures, not only that but also a comparison among them before and after the retrofitting is needed. In this research, a model steel structure is tested using a bench-scale earthquake simulator on the shake table, using recorded micro tremor data, in order to get the dynamic behaviors. Columns of the model steel structure are then retrofitted by using GFRP composite, and then tested on the Quanser shake table by using the recorded micro tremor data. At this stage, it is needed to evaluate the dynamic behaviors of the retrofitted model steel structure. Various types of methods of OMA, such as EFDD, SSI, etc. are used to take action in the ambient responses. Having a purpose to learn more about the effects of GFRP composite, experimental model analysis of both types (retrofitted and no-retrofitted models) is conducted to evaluate their dynamic behaviors. There is a provision of ambient excitation to the shake table by using recorded micro tremor ambient vibration data on ground level. Furthermore, the Enhanced Frequency Domain Decomposition is used through output-only modal identification. At the end of this study, moderate correlation is obtained between mode shapes, periods and damping ratios. The aim of this research is to show and determine the effects of GFRP Composite implementation on structural responses of the model steel structure, in terms of changing its dynamical behaviors. The frequencies for model steel structure and the retrofitted model steel structure are shown to be 33.916% in average difference. Finally, it is shown that, in order to evaluate the period and rigidity of retrofitted structures, OMA might be used.

키워드

참고문헌

  1. Ahmed, O., Van Gemert, D. and Vandewalle, L. (2001), "Improved model for plate-end shear of CFRP strengthened RC beams", Cement Concrete Compos. 23(1), 3-19. https://doi.org/10.1016/S0958-9465(00)00051-2
  2. Aliev, F.A. and Larin, V.B. (1998), Optimization of Linear Control Systems: Analytical Methods and Computational Algorithms, CRC Press.
  3. Altunisik, A.C., Bayraktar, A., Sevim, B., Kartal, M.E. and Adanur, S. (2010), "Finite element model updating of an arch type steel laboratory bridge model using semi-rigid connection", Steel Compos. Struct., Int. J., 10(6), 541-561. https://doi.org/10.12989/scs.2010.10.6.541
  4. Alvin, K.F. and Park, K.C. (1994), "Second-order structural identification procedure via state-space-based system identification", AIAA J. 32(2), 397-406. https://doi.org/10.2514/3.11997
  5. ANSI S2.47-1990 (1990), Vibration of buildings-Guidelines for the measurement of vibrations and evaluation of their effects on buildings.
  6. ARTeMIS Extractor (1999), Structural Vibration Solutions, Aalborg, Denmark.
  7. Au, S.K. and Zhang, F.L. (2016), "Fundamental two-stage formulation for Bayesian system identification, Part I: General theory", Mech. Syst. Signal Process., 66, 31-42.
  8. Balmes, E. (1997), "New results on the identification of normal modes from experimental complex modes", Mech. Syst. Signal Process., 11(2), 229-243. https://doi.org/10.1006/mssp.1996.0058
  9. Bendat, J.S. (1998), Nonlinear Systems Techniques and Applications, Wiley.
  10. Brincker, R., Zhang, L. and Andersen, P. (2000), "Modal identification from ambient responses using frequency domain decomposition", Proceedings of the 18th International Modal Analysis Conference (IMAC), San Antonio, Texas, USA, February.
  11. Cunha, A., Caetano, E., Magalhaes, F. and Moutinho, C. (2005), "From input-output to output-only modal identification of civil engineering structures", 1st International Operational Modal Analysis Conference (IOMAC), Copenhagen, Denmark, April.
  12. Elwan, S.K. and Omar, M.A. (2014), "Experimental behavior of eccentrically loaded RC slender columns strengthened using GFRP wrapping", Steel Compos. Struct., Int. J., 17(3), 271-285. https://doi.org/10.12989/scs.2014.17.3.271
  13. Friswell, M. and Mottershead, J.E. (1995), Finite Element Model Updating In Structural Dynamics, Springer Science-Business Media.
  14. Ho, Β. and Kalman, R.E. (1966), "Effective construction of linear state-variable models from input/output functions", at-Automatisierungstechnik, 14(1-12), 545-548.
  15. Ibrahim, S.R. (1977), "Random decrement technique for modal identification of structures", J. Spacecr. Rockets, 14(11), 696-700. https://doi.org/10.2514/3.57251
  16. Ibrahim, S.R. and Miculcik, E.C. (1977), "A method for the direct identification of vibration parameters from the free response", Shock Vib. Bull., 47(4), 183-194.
  17. Jacobsen, N.J., Andersen, P. and Brincker, R. (2006), "Using enhanced frequency domain decomposition as a robust technique to harmonic excitation in operational modal analysis", Proceedings of International Conference on Noise and Vibration Engineering (ISMA), Leuven, Belgium, September.
  18. Juang, J.N. (1994), Applied System Identification, Prentice Hall.
  19. Juang, J.N. and Pappa, R.S. (1985), "An eigensystem realization algorithm for modal parameter identification and model reduction", J. Guidance Control Dyn., 8(5), 620-627. https://doi.org/10.2514/3.20031
  20. Juang, J.N., Cooper, J.E. and Wright, J.R. (1988), "An eigensystem realization algorithm using data correlations (ERA/DC) for modal parameter identification", Control-Theory Adv. Technol., 4(1), 5-14.
  21. Juang, J.N., Phan, M., Horta, L.G. and Longman, R.W. (1993), "Identification of observer/kalman filter markov parameters-theory and experiments", Jou J. Guidance Control Dyn., 16(2), 320-329. https://doi.org/10.2514/3.21006
  22. Kalman, R.E. (1960), "A new approach to linear filtering and prediction problems", J. Basic Eng., 82(1), 35-45. https://doi.org/10.1115/1.3662552
  23. Kasimzade, A.A. (2006), "Coupling of the control system and the system identification toolboxes with application in structural dynamics", Proceedings of International Control Conference (ICC2006), Glasgow, Scotland, UK, September.
  24. Kasimzade, A.A. and Tuhta S. (2007a), "Ambient vibration analysis of steel structure", Proceedings of Experimental Vibration Analysis of Civil Engineering Structures (EVACES'07), Porto, Portugal, October.
  25. Kasimzade, A.A. and Tuhta S. (2007b), "Particularities of monitoring, identification, model updating hierarchy in experimental vibration analysis of structures", Proceedings of Experimental Vibration Analysis of Civil Engineering Structures (EVACES'07), Porto, Portugal, October.
  26. Kasimzade, A.A. and Tuhta S. (2009), "Optimal estimation the building system characteristics for modal identification", Proceedings of the 3rd International Operational Modal Analysis Conference (IOMAC), Porto Novo, Ancona, Italy, May.
  27. Kasimzade, A.A. and Tuhta S. (2012), "Analytical, numerical and experimental examination of reinforced composites beams covered with carbon fiber reinforced plastic", J. Theor. Appl. Mech., 42(1), 55-70.
  28. Keykha, A.H. (2017), "Numerical investigation on the behavior of SHS steel frames strengthened using CFRP", Steel Compos. Struct., Int. J., 24(5), 561-568.
  29. Klaiber, F.W., Wipf, T.J. and Kempers, B.J. (2003), "Repair of damaged prestressed concrete bridges using CFRP", Proceedings of Mid-Continental Transportation Research Symposium, Ames, Iowa, USA, August.
  30. Lam, H.F. and Yang, J. (2015), "Bayesian structural damage detection of steel towers using measured modal parameters", Earthq. Struct., Int. J., 8(4), 935-956. https://doi.org/10.12989/eas.2015.8.4.935
  31. Li, Y.F. and Sung, Y.Y. (2003), "Seismic repair and rehabilitation of a shear-failure damaged circular bridge column using carbon fiber reinforced plastic jacketing", Can. J. Civil Eng., 30(5), 819-829. https://doi.org/10.1139/l03-042
  32. Ljung, L. (1999), System Identification: Theory for the User, Prentice Hall.
  33. Lus, H., De Angelis, M., Betti, R. and Longman, R.W. (2003), "Constructing second-order models of mechanical systems from identified state space realizations. Part I: Theoretical discussions", J. Eng. Mech., 129(5), 477-488. https://doi.org/10.1061/(ASCE)0733-9399(2003)129:5(477)
  34. Marwala, T. (2010), Finite Element Model Updating Using Computational Intelligence Techniques: Applications to Structural Dynamics, Springer Science-Business Media.
  35. Namboorimadathil, S.M., Tumialan, J.G. and Nanni, A. (2002), "Behavior of RC T beams strengthened in the negative moment region with CFRP laminates", Proceedings of the 3rd International Conference on Composites in Infrastructure (ICCI'02), Francisco, CA, USA, June.
  36. Ni, Y.Q., Zhang, F.L., Xia, Y.X. and Au, S.K. (2015), "Operational modal analysis of a long-span suspension bridge under different earthquake events", Earthq. Struct., Int. J., 8(4), 859-887. https://doi.org/10.12989/eas.2015.8.4.859
  37. Ni, Y., Lu, X. and Lu, W. (2017), "Operational modal analysis of a high-rise multi-function building with dampers by a Bayesian approach", Mech. Syst. Signal Process., 86, 286-307. https://doi.org/10.1016/j.ymssp.2016.10.009
  38. Papadimitriou, C. and Papadioti, D.C. (2013), "Component mode synthesis techniques for finite element model updating", Comput. Struct., 126, 15-28. https://doi.org/10.1016/j.compstruc.2012.10.018
  39. Peeters, B. (2000), "System identification and damage detection in civil engineering", Ph.D. Dissertation; Katholieke Universiteit Leuven, Leuven, Belgium.
  40. Phan, M.Q., Longman, R.W., Lee, S.C. and Lee, J.W. (2003), "System identification from multiple-trial data corrupted by non-repeating periodic disturbances", Int. J. Appl. Math. Comput. Sci., 13(2), 185-192.
  41. Quanser (2008) Position control and earthquake analysis. Quanser Shake Table II User Manual, Nr 632, Rev 3.50, Quanser Inc, Markham, Canada.
  42. Ramos, G., Casas, J.R. and Alarcon, A. (2004), "Repair and strengthening of segmental bridges using carbon fibers", Eng. Struct., 26(5), 609-618. https://doi.org/10.1016/j.engstruct.2003.12.008
  43. Roeck, G.D. (2003), "The state-of-the-art of damage detection by vibration monitoring: the SIMCES experience", J. Struct. Control, 10(2), 127-134. https://doi.org/10.1002/stc.20
  44. Sestieri, A. and Ibrahim, S.R. (1994), "Analysis of errors and approximations in the use of modal coordinates", J. Sound Vib., 177(2), 145-157. https://doi.org/10.1006/jsvi.1994.1424
  45. Smyrou, E., Karantzikis, M. and Bal, I.E. (2015), "FRP versus traditional strengthening on a typical mid-rise Turkish RC building", Earthq. Struct., Int. J., 9(5), 1069-1089. https://doi.org/10.12989/eas.2015.9.5.1069
  46. Trifunac, M.D. (1972), "Comparisons between ambient and forced vibration experiments", Earthq. Eng. Struct. Dyn., 1(2), 133-150. https://doi.org/10.1002/eqe.4290010203
  47. Tseng, D.H., Longman, R.W. and Juang, J.N. (1994), "Identification of the structure of the damping matrix in second order mechanical systems", Spaceflight Mech., 167-190.
  48. Turker, T. (2014), "Structural evaluation of Aspendos (Belkis) masonry bridge", Struct. Eng. Mech., Int. J., 50(4), 419-439. https://doi.org/10.12989/sem.2014.50.4.419
  49. Van Overschee, P. and De Moor, B.L. (1996), Subspace Identification for Linear Systems: Theory-Implementation-Applications, Springer Science-Business Media.
  50. Ventura, C.E. and Schuster, N.D. (1996), "Structural dynamic properties of a reinforced concrete high-rise building during construction", Can. J. Civil Eng., 23(4), 950-972. https://doi.org/10.1139/l96-901
  51. Wenzel, H. and Pichler, D. (2005), Ambient Vibration Monitoring, John Wiley & Sons.
  52. Yang, Y., Xue, Y., Yu, Y., Liu, R. and Ke, S. (2017), "Study of the design and mechanical performance of a GFRP-concrete composite deck", Steel Compos. Struct., Int. J., 24(6), 679-688.
  53. Zhang, F.L. and Au, S.K. (2016), "Fundamental two-stage formulation for Bayesian system identification, Part II: Application to ambient vibration data", Mech. Syst. Signal Process., 66, 43-61.
  54. Zhang, F.L., Ni, Y.C., Au, S.K. and Lam, H.F. (2016), "Fast Bayesian approach for modal identification using free vibration data, Part I-Most probable value", Mech. Syst. Signal Process., 70, 209-220.
  55. Montoya, E., Vecchio, F.J. and Sheikh, S.A. (2004), "Numerical evaluation of the behaviour of steel-and FRP-confined concrete columns using compression field modeling", Eng. Struct., 26(11), 1535-1545. https://doi.org/10.1016/j.engstruct.2004.05.009
  56. Cole, C.B. (2001), "Performance of FRP-jacketed reinforced concrete columns subjected to uniaxial compression", M.Sc. Dissertation; University of Missouri, Rolla, MI, USA.
  57. Parretti, R. and Nanni, A. (2002), "Axial testing of concrete columns confined with carbon FRP: effect of fiber orientation", Proceedings of the 3rd International Conference on Composites in Infrastructure (ICCI'02), Francisco, CA, USA, June.
  58. Parvin, A. and Wang, W. (2002), "Tests on concrete square columns confined by composite wraps", Proceedings of the 3rd International Conference on Composites in Infrastructure (ICCI'02), Francisco, CA, USA, June.

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