Design Optimization of Corroded Reinforced Concrete Frame using Genetic Algorithm

Document Type : Original Article

Author

Department of Civil Engineering, Faculty of Technology and Engineering, Azarbaijan Shahid Madani University, Tabriz,, Iran

Abstract

In this study, a simplified approach is proposed for design optimization of the reinforced concrete frame considering the effects of chloride-induced corrosion. The objective function is to minimize the frame weight, and optimization will be conducted utilizing the genetic algorithm. The constraints of the optimization problem are set in a manner that bending moment of beams and axial force of columns are not exceeding the respective resistant values, and the maximum drift of the frame is not exceeding the code-defined allowable drift. In order to examine the corrosion effects, a 5-story reinforced concrete frame is optimized in two different time points 0 and 50 years in its service life. The zero time point indicates the sound uncorroded frame. Monte Carlo sampling method in Rt software is utilized to estimate the corrosion initiation time incorporating the involved uncertainties. At time point of 50 years, a cross-sectional area of steel bars in beam and column sections is reduced due to the corrosion effects. The proposed framework for the frame optimization is implemented in MATLAB software; and for computing the structural response during the optimization process, the linear static analysis of the structure in OpenSees software is conducted. Results indicate an ability of the proposed framework for design optimization of reinforced concrete frames considering the corrosion effects in their service life.

Keywords

Main Subjects

References

[1] Shi, X., Xie, N., Fortune, K. and Gong, J. (2012). Durability of steel reinforced concrete in chloride environments: An overview. Construction and Building Materials, 30, 125-138.
[2] Bhargava, K., Mori, Y. and Ghosh, A.K. (2011). Time-dependent reliability of corrosion-affected RC beams—Part 1: Estimation of time-dependent strengths and associated variability. Nuclear Engineering and Design, 241(5), 1371-1384.
[3] Afsar Dizaj, E., Madandoust, R. and Kashani, M.M. (2018). Exploring the impact of chloride-induced corrosion on seismic damage limit states and residual capacity of reinforced concrete structures. Structure and Infrastructure Engineering, 14(6), 714-729.
[4] Yalciner, H., Sensoy, S. and Eren, O. (2012). Time-dependent seismic performance assessment of a single-degree-of-freedom frame subject to corrosion. Engineering Failure Analysis, 19, 109-122.
[5] Shayanfar, M., Savoj, H.R., Ghanooni-Bagha, M. and Khodam, A. (2018). The effects of corrosion on seismic performance of reinforced concrete moment frames. Journal of Structural and Construction Engineering, 5, 146-159.
[6] Rao, A.S., Lepech, M.D., Kiremidjian, A.S. and Sun, X.Y. (2017). Simplified structural deterioration model for reinforced concrete bridge piers under cyclic loading. Structure and Infrastructure Engineering, 13(1), 55-66.
[7] Shafei, B., Alipour, A. and Shinozuka, M. (2012). Prediction of corrosion initiation in reinforced concrete members subjected to environmental stressors: A finite‐element framework. Cement and Concrete Research, 42(2), 365-376.
[8] Safehian, M. and Ramezanianpour, A.A. (2013). Assessment of service life models for determination of chloride penetration into silica fume concrete in the severe marine environmental condition. Construction and Building Materials, 48, 287-294.
[9] Seify Asghshahr, M., Rahai, A. and Ashrafi, H. (2016). Prediction of chloride content in concrete using ANN and CART. Magazine of Concrete Research, 68(21), 1085-1098.
[10] International federation for structural concrete (fib). (2006). Model code for service life design. Switzerland, fib Bulletin, 34.
[11] Li, C., Hao, H., Li, H. and Bi, K. (2016). Seismic fragility analysis of reinforced concrete bridges with chloride induced corrosion subjected to spatially varying ground motions. International Journal of Structural Stability and Dynamics, 16(05), 1550010.
[12] Rajeev, S. and Krishnamoorthy, C.S. (1992). Discrete optimization of structures using genetic algorithms. Journal of structural engineering, 118(5), 1233-1250.
[13] Govindaraj, V. and Ramasamy, J.V. (2007). Optimum detailed design of reinforced concrete frames using genetic algorithms. Engineering Optimization, 39(4), 471-494.
[14] Sajedi, S., Huang, Q., Gandomi, A. H. and Kiani, B. (2017). Reliability-based multiobjective design optimization of reinforced concrete bridges considering corrosion effect. ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, 3(3), 04016015.
[15] Mahsuli, M. and Haukaas, T. (2013). Computer program for multimodel reliability and optimization analysis. Journal of Computing in Civil Engineering, 27(1), 87-98.
[16] MATLAB. (2012). The MathWorks, Inc., Natick, Massachusetts, United States
[17] McKenna, F. (2011). OpenSees: a framework for earthquake engineering simulation. Computing in Science & Engineering, 13(4), 58-66.
[18] Li, C.Q. and Zheng, J.J. (2005). Propagation of reinforcement corrosion in concrete and its effects on structural deterioration. Magazine of Concrete Research, 57(5), 261-271.
[19] Enright, M.P. and Frangopol, D.M. (1998). Probabilistic analysis of resistance degradation of reinforced concrete bridge beams under corrosion. Engineering structures, 20(11), 960-971.
[20] Choe, D.E., Gardoni, P., Rosowsky, D. and Haukaas, T. (2008). Probabilistic capacity models and seismic fragility estimates for RC columns subject to corrosion. Reliability Engineering & System Safety, 93(3), 383-393.
[21] Ministry of Housing and Urban Development (MHUD). (2013). Reinforced concrete structures, Part 9. Tehran, Iran.
[22] Building and Housing Research Center (BHRC). (2013). Iranian code of practice for seismic resistant design of buildings, Standard no. 2800, 4rd edn. Tehran, Iran.
[23] Ministry of Housing and Urban Development (MHUD). (2013). Loads on buildings, Part 6. Tehran, Iran.
Journal of Structural and Construction Engineering
Volume 8, Issue 8 - Serial Number 47
November 2021
Pages 69-84

Files

History

  • Receive Date: 04 June 2020
  • Revise Date: 07 September 2020
  • Accept Date: 23 September 2020

Share

How to cite

Statistics