Nonlinear Finite Element Analysis of Bonding Behavior of Corroded Mortar Anchor under Dynamic Load
DOI:
https://doi.org/10.56748/ejse.223273Keywords:
Dynamic loading, Corroded mortar bolt, Bonding performance, Parameter analysisAbstract
The connection between reinforcement and mortar was established through the surface-to-surface contact method. The transient dynamic Full method was adopted for dynamic loading solution. The numerical analysis model for the bonding performance of corroded mortar bolts under dynamic load was established. The numerical analysis results were compared with the test results for verification. The bond properties of the anchorage interface under the conditions of different mortar protection thickness, anchorage length and corrosion rate were analyzed. The results show that the numerical simulation results are in good agreement with the test results. The numerical model can analyze the bonding performance of the corroded mortar bolts. Within a certain limit, the bond stress is positively correlated with the thickness of the mortar protective layer.The larger the anchorage length is, the greater the bonding stress at the loading end will be, and the more uneven the distribution of bonding stress in the anchorage segment will be. However, when the anchorage length reaches a certain value, the continuous increase of anchorage length will have no obvious effect on the improvement of its bonding performance, so there is an optimal anchorage length. With the increase of the corrosion ratio, the bonding stress peck decreased gradually.
Downloads
References
Duan G.T. “Corrosion medium diffusion model of mortar bolt and numerical test study of drawing”. Dissertation, Chong-qing University, 2014.
Deb D, Das K.C. “Modelling of fully grouted rock bolt based on enriched finite element method”. International Journal of Rock Mechanics & Mining Sciences, 2011, Vol. 48, No. 2, pp. 283-293. DOI: https://doi.org/10.1016/j.ijrmms.2010.11.015
Degher H.J., Kulendran S. “Finite element modeling of corro-sion damage in concrete structures”. ACI Structure Journal, 1995, Vol. 89, No. 6, pp. 1179-1190.
Ge W.J., Li X.B. (2008) “Application of numerical simulation in bolt support technology”. Pneumatic tools for rock drilling machinery, 2008, No. 1, pp. 131-34.
Hong X.J., Zhang Y. “Fitting method of bond stress in bond slip test”. Structural Engineer, 2000, No. 3, pp. 44-48.
Jiang W.W., Xu G.Y., Ma C.N. “Application of fast Lagrangian method in numerical simulation test of bolt drawing”. China Railway Science, 2008, Vol. 29, No. 6, pp. 50-54.
Li G.Y. “Numerical simulation of dynamic bond performance of reinforced concrete”. Dissertation, Dalian Ocean Universi-ty, 2018.
Liu B., Li D.Y. “Test fitting analysis and simulation of the bond-slip relationship of bolt mortar”. Journal of Hefei Uni-versity of Technology (Natural Science Edition), 2009, Vol. 32, No. 10, pp. 60-63.
Xia N. “A preliminary study on the mechanical properties and durability evaluation of corroded anchors”. Dissertation, Hohai University, 2005.
Yu Q., Yuan W.H., You G.S. “Experimental study and finite el-ement analysis of the bond performance between ribbed steel bars and grouting material”. Structural Engineer, 2016, Vol. 32, No. 6, pp. 113-122.
Zhan Y.B., Bi X.K., You C.A., Lu X.L., Sun F. “Numerical sim-ulation analysis of anchorage stress distribution law”. Rock and Soil Mechanics, 2006, Vol. 27, No. S2, pp. 935-938. https://doi.org/10.16285/j.rsm.2006.s2.003
Zhang W.P., Zhang Y. “Computer simulation analysis of the corrosion expansion process of steel bars in concrete”. Jour-nal of Tongji University (Natural Science Edition), 2001, Vol. 29, No. 11, pp. 1374-1377.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2022 Haitao Wang, Minghua Cui, Kun Ren, Haoyu Sun
This work is licensed under a Creative Commons Attribution 4.0 International License.
Funding data
-
Science Fund for Distinguished Young Scholars of Dalian Province
Grant numbers 2018RJ10 -
Foundation of Liaoning Province Education Administration
Grant numbers JDL2020010 -
Natural Science Foundation of Liaoning Province
Grant numbers 2020-MS-271