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Stressing state analysis of large curvature continuous prestressed concrete box-girder bridge model

    Jun Shi Affiliation
    ; Jiyang Shen Affiliation
    ; Guangchun Zhou Affiliation
    ; Fengjiang Qin Affiliation
    ; Pengcheng Li Affiliation

Abstract

This paper experimentally analyzes the working behavior characteristics of a large-curvature continuous prestressed concrete box-girder (CPCBG) bridge model based on structural stressing state theory. First, the measured strain data is modeled as generalized strain energy density (GSED) to characterize the stressing state of the bridge model. Then, the Mann-Kendall (M-K) criterion is adopted to detect the stressing state leaps of the bridge model according to the natural law from quantitative change to qualitative change of a system, which derives the new definition of structural failure load. Correspondingly, the stressing state modes for the bridge model’s sections and internal forces are proposed to verify their changing characteristics and the coordinate working behavior around the characteristic loads. The analytical results reveal the working behavior characteristics of the bridge mode unseen in traditional structural analysis, which provides a new angle of view to conduct structural analysis and a reference to the improvement of design codes.

Keyword : stressing state, mutation, failure load, stressing state mode, prestressed concrete box-girder bridge

How to Cite
Shi, J., Shen, J., Zhou, G., Qin, F., & Li, P. (2019). Stressing state analysis of large curvature continuous prestressed concrete box-girder bridge model. Journal of Civil Engineering and Management, 25(5), 411-421. https://doi.org/10.3846/jcem.2019.9869
Published in Issue
May 2, 2019
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Bu, L. T., & Zheng, M. H. (2017). Study on construction monitoring of curved prestressed concrete roof box girder. Hunan Daxue Xuebao/Journal of Hunan University Natural Sciences, 44(7), 78-85. https://doi.org/10.16339/j.cnki.hdxbzkb.2017.07.010

Cai, Z. B. (2013). The study on torsional effect of highway concrete curved box-girder bridge (PhD Thesis, Central South University).

Cheung, M. S., & Cheung, Y. K. (1984). Analysis of curved box girder bridges by finite strip method. International Association of Bridge and Structural Engineers (IABSE) Publications, 31(1), 1-8.

Dai, P. (2007). Experimental study and numerical analysis on bearing reaction and bearing capacity of curved prestressed concrete box girder bridge (PhD Thesis, Chang’an University) (in Chinese).

Dabrowski, R. (1968). Curved thin-walled girder, theory and analysis. New York: Springer-Verlag New York, Inc.

Hirsch, R. M., Slack, J. R., & Smith, R. A. (1982). Techniques of trend analysis for monthly water quality data. Water Resources Research, 18(1), 107-121. https://doi.org/10.1029/wr018i001p00107

Huang H. X., Liu, B., Zhang, Y., & Tian, X. Y. (2009). Bearing reaction test and analysis of prestressed concrete curved girder bridge. In Proceeding of 8th International Symposium on Test and Measurement (pp. 732-734). Chongqing, China.

Huang, Y., Yu, Z., & Liu, C. (2014). Method for predicting failure load of masonry wall panel based on generalized strain energy density. Journal of Harbin Institute of Technology, 140(8), 04014061. https://doi.org/10.1061/(asce)em.1943-7889.0000771

Jiang, X. D. (2008). Design analysis of prestressed concrete curve box-girder bridge and its application (MA Thesis, Zhejiang University) (in Chinese).

Kendall, M. G. (1990). Rank correlation methods. New York: Oxford University Press. https://doi.org/10.2307/2333282

Kim, K., & Yoo, C. H. (2006). Effects of external bracing on horizontally curved box girder bridges during construction. Engineering Structures, 28(12), 1650-1657. https://doi.org/10.1016/j.engstruct.2006.03.001

Khaloo, A. R., & Kafimosavi, M. (2007). Enhancement of flexural design of horizontally curved prestressed bridges. Journal of Bridge Engineering, 12(5), 585-590. https://doi.org/10.1061/(asce)1084-0702(2007)12:5(585)

Khan, E., Lobo, J. A., & Linzell, D. G. (2018). Live load distribution and dynamic amplification on a curved prestressed concrete transit rail bridge. Journal of Bridge Engineering, 23(6), 04018029. https://doi.org/10.1061/(asce)be.1943-5592.0001236

Lin, T. Y., & Burns, N. (1983). Prestressed concrete structure design. China Railway Publishing House (in Chinese).

Mann, H. B. (1945). Nonparametric tests against trend. Econometrica, 3(3), 245-259. https://doi.org/10.2307/1907187

Meyer, C., & Scordelis, A. C. (1970). Computer program for prismatic folder plates with plate and beam elements. (Structural Engineering and Structural Mechanics Report No. SESM 70-3). University of California, Berkeley.

Przemysław, M., Wojciech, T., & Radomski, W. (2017). The impact of using concrete of various density on the state of stresses in prestressed concrete flyovers over highways. Procedia Engineering, 193, 258-265. https://doi.org/10.1016/j.proeng.2017.06.212

Qiao, J. L., Jin, Y., Tian, W. L., & Li, F. (2012). The analysing of coupled bending torsion and shear-lag of curved box girder bridge considering prestress and initial curvature. Advanced Materials Research, 446-449, 3360-3364. https://doi.org/10.4028/scientific5/amr.446-449.3360

Rogers, L. P., & Seo, J. (2016). Vulnerability sensitivity of curved precast-concrete I-girder bridges with various configurations subjected to multiple ground motions. Journal of Bridge Engineering, 04016118. https://doi.org/10.1061/(asce)be.1943-5592.0000973

Seo, J., & Rogers, L. P. (2017). Comparison of curved prestressed concrete bridge population response between area and spine modeling approaches toward efficient seismic vulnerability analysis. Engineering Structures, 150, 176-189. https://doi.org/10.1016/j.engstruct.2017.07.033

Seo, J., Rogers, L. P., & Hu, J. W. (2018). Computational seismic evaluation of a curved prestressed concrete I-girder bridge equipped with shape memory alloy. European Journal of Environmental and Civil Engineering. https://doi.org/10.1080/19648189.2018.1492972

Shi, S. W., & Xiang, Z. F. (2012). Bridge structure test and detection technology. Chongqing University Press (in Chinese).

Shi, X., Cao, Z., Ma, H., & Ruan, X. (2018). Failure analysis on a curved girder bridge collapse under eccentric heavy vehicles using explicit finite element method: case study. Journal of Bridge Engineering, 23(3), 05018001. https://doi.org/10.1061/(asce)be.1943-5592.0001201

Timoshenko, S. P., & Gere, J. M. (1961). Theory of elastic stability (2nd ed.). New York: McGraw HilBook Co. Inc.

Vlasov, V. Z. (1961). Thin-walled elastic beam. Washington: National Science Foundation.

Walter, P. (1985). The cause of cracking in post-tensioned concrete box girder bridges and retrofit procedures. PCI Journal, 30(2), 82-139. https://doi.org/10.15554/pcij.03011985.82.139

Yang, Z. Y., Zhao, Y., & Liu, Z. S. (2011). Research on stretching order of tendons in PC curved box girder bridge. Advanced Materials Research, 219-220, 487-491. https://doi.org/10.4028/www.scientific.net/amr.219-220.487

Yuan, A., Dai, H., & Sun, D. (2013). Behaviors of segmental concrete box beams with internal tendons and external tendons under bending. Engineering Structures, 48, 623-634. https://doi.org/10.1016/j.engstruct.2012.09.005

Zhang, G. Y. (2002). Bridge structure test. People’s Traffic Press (in Chinese).

Zhang, Y., Zhou, G. C., Xiong, Y., & Rafiq, Y. (2010). Techniques for predicting cracking pattern of masonry wallet using artificial neural networks and cellular automata. Journal of Computing in Civil Engineering, 24(2), 161-172. https://doi.org/10.1061/(asce)cp.1943-5487.0000021

Zhou, G. C., Rafiq, M. Y., Bugmann, G., & Easterbrook, D. J. (2006). Cellular automata model for predicting the failure pattern of laterally loaded masonry wall panels. Journal of Computing in Civil Engineering, 20(6), 400-409. https://doi.org/10.1061/(asce)0887-3801(2006)20:6(400)

Zhou, G. C., Pan, D., Xu, X., & Rafiq, Y. M. (2010). An innovative technique for predicting failure/cracking load of masonry wall panel under lateral load. Journal of Computing in Civil Engineering, 24(4), 377-387. https://doi.org/10.1061/(asce)cp.1943-5487.0000040