Simulation of corrosion field measurement on reinforced concrete using BEM
DOI:
https://doi.org/10.15282/jmes.15.2.2021.11.0636Keywords:
Reinforced Concrete (RC), Boundary Element Method (BEM), half-cell potential technique, corrosion assessmentAbstract
Reinforced concrete (RC) corrosion is a leading of structural deterioration and premature degradation for the infrasturctures, with significant affected for safety, durability and reability. Therefore, early assessment of RC corrosion is important to prevent deterioration of the structure. The objective of this paper is to apply Boundary Element Method (BEM) for improving reinforced concrete (RC) corrosion assessment using field measurement data. In this study, the potential on whole domain of concrete structures was modeled by Laplace equation. The Laplace equation was solved by BEM, hence the potential on the concrete structure can be determined. The field data were measured by using half-cell potential technique and collected from an existing house in Aceh region that struck by the 2004 Sumatra tsunami. The simulation results show the use of BEM can improve the RC corrosion assessment. According to ASTM C876, the distribution of potential values on the concrete surface above the corroded area were in range -200 mV to -350 mV that indicated active corrosion was occurred. It can be inferred, the method can improve the field measurement data since it has capability to predict the corrosion profiles of reinforcing steel in more precise.
References
A. James et al., “Rebar corrosion detection , protection , and rehabilitation of reinforced concrete structures in coastal environments : A review,” Constr. Build. Mater., vol. 224, pp. 1026–1039, 2019, doi: 10.1016/j.conbuildmat.2019.07.250.
Z. Cui, A. Alipour, and B. Shafei, “Structural performance of deteriorating reinforced concrete columns under multiple earthquake events,” Eng. Struct., vol. 191, pp. 460–468, Jul. 2019, doi: 10.1016/j.engstruct.2019.04.073.
X. Xing, X. Xu, J. Wang, and W. Hu, “Preparation , release and anticorrosion behavior of a multi-corrosion inhibitors-halloysite nanocomposite,” Chem. Phys. Lett., vol. 718, no. October 2018, pp. 69–73, 2019, doi: 10.1016/j.cplett.2019.01.033.
T. Senga Kiesse, S. Bonnet, O. Amiri, and A. Ventura, “Analysis of corrosion risk due to chloride diffusion for concrete structures in marine environment,” Mar. Struct., vol. 73, p. 102804, 2020, doi: https://doi.org/10.1016/j.marstruc.2020.102804.
S. Hong, H. Wiggenhauser, R. Helmerich, B. Dong, P. Dong, and F. Xing, “Long-term monitoring of reinforcement corrosion in concrete using ground penetrating radar,” Eval. Program Plann., 2016, doi: 10.1016/j.corsci.2016.11.003.
S. Karthick, S. Muralidharan, H. S. Lee, S. J. Kwon, and V. Saraswathy, “Reliability and long-term evaluation of GO-MnO 2 nano material as a newer corrosion monitoring sensor for reinforced concrete structures,” Cem. Concr. Compos., vol. 100, no. April 2017, pp. 74–84, 2019, doi: 10.1016/j.cemconcomp.2019.03.012.
S. Fonna, M. Ridha, S. Huzni, W. A. Walid, T. T. D. Mulya, and A. K. Ariffin, “Corrosion Risk of RC Buildings after Ten Years the 2004 Tsunami in Banda Aceh - Indonesia,” Procedia Eng., vol. 171, pp. 965–976, 2017, doi: 10.1016/j.proeng.2017.01.402.
W. Yodsudjai and T. Pattarakittam, “Factors influencing half-cell potential measurement and its relationship with corrosion level,” Meas. J. Int. Meas. Confed., vol. 104, pp. 159–168, 2017, doi: 10.1016/j.measurement.2017.03.027.
M. Ihsan, S. Fonna, M. Ridha, S. Huzni, and A. K. Ariffin, The influence of anode profiles for three dimensions numerical simulation of reinforced concrete corrosion using boundary element method, vol. 686. 2013.
G. Ebell, A. Burkert, and J. Mietz, “Detection of Reinforcement Corrosion in Reinforced Concrete Structures by Potential Mapping: Theory and Practice,” Int. J. Corros., vol. 2018, 2018, doi: 10.1155/2018/3027825.
D. Luo, Y. Li, J. Li, K. S. Lim, N. A. M. Nazal, and H. Ahmad, “A recent progress of steel bar corrosion diagnostic techniques in RC structures,” Sensors (Switzerland), vol. 19, no. 1, 2019, doi: 10.3390/s19010034.
B. A. Mazzeo, J. Baxter, J. Barton, and W. S. Guthrie, “Vertical impedance measurements of concrete bridge deck cover condition without a direct electrical connection to the reinforcing steel,” AIP Conf. Proc., vol. 1806, pp. 1–6, 2017, doi: 10.1063/1.4974629.
L. Bourreau et al., “On-site Corrosion Monitoring - Reliability To cite this version : HAL Id : hal-01518739,” 2017.
J. Alcántara, D. de la Fuente, B. Chico, J. Simancas, I. Díaz, and M. Morcillo, “Marine atmospheric corrosion of carbon steel: A review,” Materials (Basel)., vol. 10, no. 4, 2017, doi: 10.3390/ma10040406.
A. Zaki, H. K. Chai, D. G. Aggelis, and N. Alver, “Non-destructive evaluation for corrosion monitoring in concrete: A review and capability of acoustic emission technique,” Sensors (Switzerland), vol. 15, no. 8, pp. 19069–19101, 2015, doi: 10.3390/s150819069.
N. M. A.- Galawi, A. A. H. Al-tameemi, and S. H. Al-jarrah, “Effect Of Age And Concrete Cover Thickness On Steel Reinforcement Corrosion At Splash Zone In Reinforced Concrete Hydraulic Structures,” Int. J. Sci. Technol. Res., vol. 4, no. 8, pp. 129–133, 2015.
A. Fahim, P. Ghods, O. B. Isgor, and M. D. A. Thomas, “A critical examination of corrosion rate measurement techniques applied to reinforcing steel in concrete,” Mater. Corros., vol. 69, no. 12, pp. 1784–1799, 2018, doi: 10.1002/maco.201810263.
M. J. Miah, M. M. H. Patoary, S. C. Paul, A. J. Babafemi, and B. Panda, “Enhancement of Mechanical Properties and Porosity of Concrete Using Steel Slag Coarse Aggregate,” Materials (Basel)., vol. 13, no. 12, p. 2865, 2020, doi: 10.3390/ma13122865.
S. Pang, M. K. Yu, H. G. Zhu, and C. Yi, “The corrosion probability and flexural strength of an RC beam under chloride ingress considering the randomness of temperature and humidity,” Materials (Basel)., vol. 13, no. 10, 2020, doi: 10.3390/ma13102260.
C. Hu, D. Ling, X. Ren, S. Gong, L. Wang, and Z. Huang, “An improved crack-tip element treatment for advanced FEMs,” Theor. Appl. Fract. Mech., vol. 108, no. April, p. 102587, 2020, doi: 10.1016/j.tafmec.2020.102587.
E. Chaparian and O. Tammisola, “An adaptive finite element method for elastoviscoplastic fluid flows,” J. Nonnewton. Fluid Mech., vol. 271, no. February, 2019, doi: 10.1016/j.jnnfm.2019.104148.
S. Fonna, Gunawarman, S. Huzni, and A. K. Ariffin, “Boundary element inverse analysis for rebar corrosion detection: Study on the 2004 tsunami-affected structure in Aceh,” Case Stud. Constr. Mater., vol. 8, pp. 292–298, Jun. 2018, doi: 10.1016/j.cscm.2018.02.008.
X. Yang, Y. Li, G. Liu, and H. Gui, “The prediction of load distribution in four-row cylindrical roller bearings under the elastohydrodynamic lubrication based on boundary element method,” Eng. Anal. Bound. Elem., vol. 105, no. March, pp. 242–256, 2019, doi: 10.1016/j.enganabound.2019.04.008.
O. Anterrieu, B. Giroux, E. Gloaguen, and C. Carde, “Non-destructive data assimilation as a tool to diagnose corrosion rate in reinforced concrete structures,” J. Build. Eng., vol. 23, no. October 2018, pp. 193–206, 2019, doi: 10.1016/j.jobe.2019.01.033.
A. ASTM, “Standard Test Method for Half-cell potentials of Uncoated Reinforcing Steel in Concrete,” ASTM Int., 1999.
S. Fonna, S. Huzni, A. Zaim, and A. K. Ariffin, “Simulation of cathodic protection on reinforced concrete using BEM,” J. Mech. Eng., vol. SI 4, no. 2, pp. 111–122, 2017.
M. Ihsan, S. Fonna, R. Kurniawan, Z. Fuadi, and A. K. Ariffin, “Computational Modelling for RC Cylindrical Column Corrosion using Axisymmetric BEM,” in Proceedings: CYBERNETICSCOM 2019 - 2019 IEEE International Conference on Cybernetics and Computational Intelligence: Towards a Smart and Human-Centered Cyber World, 2019, doi: 10.1109/CYBERNETICSCOM.2019.8875678.
A. V. Novikov, V. S. Posvyanskii, and D. V. Posvyanskii, “An application of Green’s function technique for computing well inflow without radial flow assumption,” Comput. Geosci., vol. 21, no. 5–6, pp. 1049–1058, 2017, doi: 10.1007/s10596-017-9684-6.
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