Structural Model Updating of Steel Box Girder Bridge Using Modal Flexibility Based Deflections

Authors

  • Jintao Cui 1School of Civil Engineering, Tianjin Institute of Urban Construction, Jinjing Road 26, Xiqing District, Tianjin, China
  • Dookie Kim Dept of Civil and Environmental Engineering, Kunsan National University, 558 Daehak-ro, Kunsan, Jeonbuk, 573-701, Republic of Korea
  • Ki Young Koo School of Construction Engineering, Kyungil University, 50 Gamasil-gil, Hayang-eup, Gyeongsan-si, Gyeongbuk, 712-701, Republic of Korea
  • Sandeep Chaudhary Dept of Civil Engineering, Malaviya National Institute of Technology Jaipur, J. L. N. Marg, Jaipur (Rajasthan), Pin Code 302017, India

DOI:

https://doi.org/10.3846/bjrbe.2012.34

Keywords:

model updating, modal flexibility, dynamic experiment, deflection, bridge

Abstract

The finite element models need to be updated to simulate the actual behavior of the structures. A simplified approach has been presented in this paper for model updating of steel box girder bridge using the virtual static deflections. The approach is based on the conversion of dynamic model to static model. The deflections used for the model updating are estimated from the modal flexibility matrix which requires only a small number of lower modes for accurate estimation. An optimization process is adopted for the model updating. Dynamic tests have been performed on a two span continuous bridge for the verification of the proposed approach. It has been found that the updated numerical deflections obtained by the proposed method reasonably agree with the estimated deflections.

References

Aimin, Y.; Golinval, J. C. 2005. Structural Damage Localization by Combining Flexibility and Stiffness Methods, Engineering Structures 27(12): 1752–1761. http://dx.doi.org/10.1016/j.engstruct.2005.04.017

Bayraktar, A.; Altunışık, A. C.; Sevim, B.; Türker, T. 2010. Finite Element Model Updating of Komurhan Highway Bridge Based on Experimental Measurements, Smart Structures and Systems 6(4): 373–388.

Bayraktar, A.; Birinci, F.; Altunışık, A. C.; Türker, T.; Sevim, B. 2009. Finite Element Model Updating of Senyuva Historical Arch Bridge Using Ambient Vibration Tests, The Baltic Journal of Road and Bridge Engineering 4(4): 177–185. http://dx.doi.org/10.3846/1822-427X.2009.4.177-185

Bernal, D.; Gunes, B. 2002. Damage Localization in Output-Only Systems: a Flexibility Based Approach, in Conference: 2002 IMAC-XX: Conference & Exposition on Structural Dynamics. Los Angeles, California, 1185–1191.

Doebling, S. W.; Farrar, C. R.; Prime, M. B.; Shevitz, D. W. 1996. Damage Identification and Health Monitoring of Structural and Mechanical Systems from Changes in their Vibration Characteristics: a Literature Review. Report LA-13070-MS. Los Alamos National Laboratory.

El-Borgi, S.; Choura, S.; Ventura, C.; Baccouch, M.; Cherif, F. 2005. Modal Identification and Model Updating of Reinforced Concrete Bridge, Smart Structures and Systems 1(1): 83–101.

Feng, M. Q.; Kim, D. K.; Yi, J. H.; Chen, Y. 2004. Baseline Models for Bridge Performance Monitoring, Journal of Engineering Mechanics 130(5): 562–569.

Gao, Y.; Spencer, B. F. 2002. Damage Localization under Ambient Vibration Using Changes in Flexibility, Earthquake Engineering and Engineering Vibration 1(1): 136–144. http://dx.doi.org/10.1007/s11803-002-0017-x

Jaishi, B.; Kim, H. J.; Kim, M. K.; Ren, W. X.; Lee, S. H. 2007. Finite Element Model Updating of Concrete-Filled Steel Tubular Arch Bridge under Operational Condition Using Modal Flexibility, Mechanical Systems and Signal Processing 21(6): 2406–2426. http://dx.doi.org/10.1016/j.ymssp.2007.01.003

Jaishi, B.; Ren, W. X. 2006. Damage Detection by Finite Element Model Updating Using Modal Flexibility Residual, Journal of Sound and Vibration 290(1–2): 369–387. http://dx.doi.org/10.1016/j.jsv.2005.04.006

Kim, D.; Kim, D. H.; Cui, J.; Seo, H. Y.; Lee, Y. H. 2009. Iterative Neural Network Strategy for Static Model Identification of an FRP Deck, Steel and Composite Structures 9(5): 445–455.

Koo, K. Y.; Lee, J. J.; Yun, C. B.; Kim, J. T. 2008. Damage Detection in Beam-Like Structures Using Deflections Obtained by the Flexibility Matrices, Journal of Smart Structures and Systems 4: 605–628.

Lee, J. J.; Lee, J. W.; Yi, J. H.; Yun, C. B.; Jung, H. Y. 2005. Neural Networks-Based Damage Detection for Bridges Considering Errors in Baseline Finite Element Models, Journal of Sound and Vibration 280(3–5): 555–578. http://dx.doi.org/10.1016/j.jsv.2004.01.003

Lenett, M. S.; Helmicki, A. J.; Hunt, V. J.; Aktan, A. E. 1999. Condition Assessment and Damage Identification of a Steel-Stringer Bridge Using System-Identification Methods, in Proc. of American Control Conference. San Diego, California, USA. 1124–1128.

Pandey, A. K.; Biswas, M. 1995. Damage Diagnosis of Truss Structures by Estimation of Flexibility Change, The International Journal of Analytical and Experimental Modal Analysis 10(2): 104–117.

Pandey, A. K.; Biswas, M. 1994. Damage Detection in Structures Using Changes in Flexibility, Journal of Sound and Vibration 169(1): 3–17.

Patjawit, A.; Kanok-Nukulchai, W. 2005. Health Monitoring of Highway Bridges Based on a Global Flexibility Index, Engineering Structures 27(9): 1385–1391. http://dx.doi.org/10.1016/j.engstruct.2005.04.003

Stutz, L. T.; Castello, D. A.; Rochinha, F. A. 2005. A Flexibility-Based Continuum Damage Identification Approach, Journal of Sound and Vibration 279(3–5): 641–667. http://dx.doi.org/10.1016/j.jsv.2003.11.043

Toksyo, T.; Aktan, A. E. 1994. Bridge Condition Assessment by Modal Flexibility, Experimental Mechanics 34(3): 271–278. http://dx.doi.org/10.1007/BF02319765

Zhao, J.; DeWolf, J. T. 1999. Sensitivity Study for Vibrational Parameters Used in Damage Detection, ASCE Journal of Structural Engineering 125(4): 410–416. http://dx.doi.org/10.1061/(ASCE)0733-9445(1999)125:4(410)

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Published

27.12.2012

How to Cite

Cui, J., Kim, D., Koo, K. Y., & Chaudhary, S. (2012). Structural Model Updating of Steel Box Girder Bridge Using Modal Flexibility Based Deflections. The Baltic Journal of Road and Bridge Engineering, 7(4), 253-260. https://doi.org/10.3846/bjrbe.2012.34