Finite-Element Model Modification for Investigating the Dynamic Behavior of Fire-Exposed Reinforced Concrete Beams with Corrosion
Publication: Journal of Structural Engineering
Volume 150, Issue 9
Abstract
To obtain a precise finite-element model (FEM) for analyzing the dynamic response of corroded beams at high temperatures, a stepwise FEM modification strategy is proposed based on the improved extreme learning machine. Three concrete beams were designed and cast, and the dynamic response characteristics of corroded concrete beams at room temperature and high temperature are discussed. Firstly, electrical accelerated corrosion tests and vibration tests were conducted on simply supported beams at room temperature. The fundamental frequencies of concrete beams under different corrosion ratios were measured. The attenuation law of fundamental frequency with corrosion ratio also was studied. Subsequently, the FEM under different corrosion ratios was modified. The bond-slip between steel bars and concrete under different degrees of corrosion was considered during the correction process. Finally, a vibration test at high temperature was performed. The modal attenuation law of corroded beams at high temperatures was analyzed. Based on the modified FEM, numerical analysis at high temperature was performed. The proposed FEM modification strategy and the study of the attenuation regularities of modal information under fire exposure provide a foundation for further research on the damage development of corroded reinforced concrete (RC) beams under fire exposure.
Get full access to this article
View all available purchase options and get full access to this article.
Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request.
Acknowledgments
This research work was financially supported by the National Natural Science Foundation of China (Grant No. 52178487) and the Natural Science Foundation of Shandong Province (ZR2021ME228).
References
Avci, O., O. Abdeljaber, S. Kiranyaz, M. Hussein, M. Gabbouj, and D. J. Inman. 2021. “A review of vibration-based damage detection in civil structures: From traditional methods to machine learning and deep learning applications.” Mech. Syst. Signal Process. 147 (Jan): 107077. https://doi.org/10.1016/j.ymssp.2020.107077.
Botchkarev, A. 2019. “A new typology design of performance metrics to measure errors in machine learning regression algorithms.” Interdiscip. J. Inf. Knowl. Manage. 14 (Jan): 45–76. https://doi.org/10.28945/4184.
Chen, K., Y. Yuan, B. Zhao, L. Zhou, H. Wang, K. Niu, X. Jin, and Y. Zheng. 2023. “Identification and comparative analysis of vibration modal parameters of rice planter frame.” AIP Adv. 13 (4): 045002-1–045002-9. https://doi.org/10.1063/5.0145243.
Cheng, H., H. Li, W. Zhang, B. Liu, Z. Wu, and F. Kong. 2015. “Effects of radiation heating on modal characteristics of panel structures.” J. Spacecraft Rockets 52 (4): 1228–1235. https://doi.org/10.2514/1.A33214.
Chung, L., H. Najm, and P. Balaguru. 2008. “Flexural behavior of concrete slabs with corroded bars.” Cem. Concr. Compos. 30 (3): 184–193. https://doi.org/10.1016/j.cemconcomp.2007.08.005.
Dang, V. H., and R. François. 2013. “Influence of long-term corrosion in chloride environment on mechanical behaviour of RC beam.” Eng. Struct. 48 (Mar): 558–568. https://doi.org/10.1016/j.engstruct.2012.09.021.
El Maaddawy, T. A., and K. A. Soudki. 2003. “Effectiveness of impressed current technique to simulate corrosion of steel reinforcement in concrete.” J. Mater. Civ. Eng. 15 (1): 41–47. https://doi.org/10.1061/(ASCE)0899-1561(2003)15:1(41).
Gao, Y., Y. Wang, and D. Xiao. 2020. “Experimental investigations of thermal modal parameters for a C/SiC structure under 1600°C high temperature environment.” Measurement 151 (Feb):107094. https://doi.org/10.1016/j.measurement.2019.107094.
Geng, Q., D. Wang, Y. Liu, and Y. M. Li. 2015. “Experimental and numerical investigations on dynamic and acoustic responses of a thermal post-buckled plate.” Sci. China Technol. Sci. 58 (8): 1414–1424. https://doi.org/10.1007/s11431-015-5838-8.
Giordano, L., G. Mancini, and F. Tondolo. 2011. “Reinforced concrete members subjected to cyclic tension and corrosion.” J. Adv. Concr. Technol. 9 (3): 277–285. https://doi.org/10.3151/jact.9.277.
Girardi, M., C. Padovani, D. Pellegrini, M. Porcelli, and L. Robol. 2020. “Finite element model updating for structural applications.” J. Comput. Appl. Math. 370 (May): 112675. https://doi.org/10.1016/j.cam.2019.112675.
Gomes, G. F., S. S. da Cunha Jr., and A. C. Ancelotti Jr. 2019. “A sunflower optimization (SFO) algorithm applied to damage identification on laminated composite plates.” Eng. Comput. 35 (2): 619–626. https://doi.org/10.1007/s00366-018-0620-8.
Han, J., K. Yu, X. Li, and R. Zhao. 2016. “Modal density and mode counts of sandwich panels in thermal environments.” Compos. Struct. 153 (May): 69–80. https://doi.org/10.1016/j.compstruct.2016.05.109.
ISO. 1999. Fire-resistance tests—Elements of building construction: Part 1: General requirements. ISO 834-1. Geneva: ISO.
Kamei, K., M. A. Khan, and K. A. Khan. 2021. “Characterising modal behaviour of a cantilever beam at different heating rates for isothermal conditions.” Appl. Sci. 11 (10): 4375. https://doi.org/10.3390/app11104375.
Khan, S., and T. Yairi. 2018. “A review on the application of deep learning in system health management.” Mech. Syst. Signal Process. 107 (Jul): 241–265. https://doi.org/10.1016/j.ymssp.2017.11.024.
Liu, C., X. Huang, Y. Zhao, and J. Miao. 2022. “Vibration analysis of concrete T-beam at elevated temperatures based on modified finite element model.” J. Build. Eng. 52 (Jul): 104381. https://doi.org/10.1016/j.jobe.2022.104381.
Liu, C., C. Liu, C. Liu, X. Huang, J. Miao, and W. Xu. 2019a. “Fire damage identification in RC beams based on support vector machines considering vibration test.” KSCE J. Civ. Eng. 23 (10): 4407–4416. https://doi.org/10.1007/s12205-019-2353-7.
Liu, C. W., X. H. Huang, J. J. Miao, and G. Z. Ba. 2019b. “Modification of finite element models based on support vector machines for reinforced concrete beam vibrational analyses at elevated temperatures.” Struct. Control Health Monit. 26 (6): e2350. https://doi.org/10.1002/stc.2350.
Lu, Z.-H., Y.-B. Ou, Y.-G. Zhao, and C.-Q. Li. 2016. “Investigation of corrosion of steel stirrups in reinforced concrete structures.” Constr. Build. Mater. 127 (May): 293–305. https://doi.org/10.1016/j.conbuildmat.2016.09.128.
Noman, M., M. Yaqub, M. Fahad, F. Butt, and B. Khalid. 2022. “Dynamic characteristics of RC structures in short and long duration real fires.” Case Stud. Constr. Mater. 16 (Jun): e01058. https://doi.org/10.1016/j.cscm.2022.e01058.
Rafiei, M. H., and H. Adeli. 2017. “A novel machine learning-based algorithm to detect damage in high-rise building structures.” Struct. Des. Tall Special Build. 26 (18): e1400. https://doi.org/10.1002/tal.1400.
Rasoolinejad, M., S. Rahimi-Aghdam, and Z. P. Bažant. 2019. “Prediction of autogenous shrinkage in concrete from material composition or strength calibrated by a large database, as update to model B4.” Mater. Struct. 52 (2): 1–17. https://doi.org/10.1617/s11527-019-1331-3.
Ribeiro, F., J. Sena-Cruz, F. G. Branco, and E. Júlio. 2019. “3D finite element model for hybrid FRP-confined concrete in compression using modified CDPM.” Eng. Struct. 190 (Jun): 459–479. https://doi.org/10.1016/j.engstruct.2019.04.027.
Seok, S., G. Haikal, J. A. Ramirez, and L. N. Lowes. 2018. “High-resolution finite element modeling for bond in high-strength concrete beam.” Eng. Struct. 173 (Mar): 918–932. https://doi.org/10.1016/j.engstruct.2018.06.068.
Whelan, M. J., B. Q. Tempest, and D. B. Scott. 2014. “Influence of fire damage on the modal parameters of a prestressed concrete double-tee joist roof.” Struct. Control Health Monit. 21 (11): 1335–1346. https://doi.org/10.1002/stc.1651.
Wu, D., Y. Wang, L. Shang, H. Wang, and Y. Pu. 2016. “Experimental and computational investigations of thermal modal parameters for a plate-structure under 1200°C high temperature environment.” Measurement 94 (Dec): 80–91. https://doi.org/10.1016/j.measurement.2016.07.078.
Xi, F., Q. M. Li, and Y. H. Tan. 2014. “Dynamic response and critical temperature of a steel beam subjected to fire and subsequent impulsive loading.” Comput. Struct. 135 (Apr): 100–108. https://doi.org/10.1016/j.compstruc.2014.01.014.
Xue, J., and B. Shen. 2020. “A novel swarm intelligence optimization approach: Sparrow search algorithm.” Syst. Sci. Control Eng. 8 (1): 22–34. https://doi.org/10.1080/21642583.2019.1708830.
Zhang, W., X. Song, X. Gu, and S. Li. 2012. “Tensile and fatigue behavior of corroded rebars.” Constr. Build. Mater. 34 (Sep): 409–417. https://doi.org/10.1016/j.conbuildmat.2012.02.071.
Zhu, W., R. François, D. Coronelli, and D. Cleland. 2013. “Effect of corrosion of reinforcement on the mechanical behaviour of highly corroded RC beams.” Eng. Struct. 56 (Mar): 544–554. https://doi.org/10.1016/j.engstruct.2013.04.017.
Information & Authors
Information
Published In
Journal of Structural Engineering
Volume 150 • Issue 9 • September 2024
Copyright
© 2024 American Society of Civil Engineers.
History
Received: Nov 22, 2023
Accepted: Mar 12, 2024
Published online: Jul 9, 2024
Published in print: Sep 1, 2024
Discussion open until: Dec 9, 2024
Authors
Metrics & Citations
Metrics
Citations
Download citation
If you have the appropriate software installed, you can download article citation data to the citation manager of your choice. Simply select your manager software from the list below and click Download.