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Building structures and materials

An optimization of round reinforced concrete columns subject to multiple loads using an artificial neural network (ANN)

, &
Pages 1007-1022 | Received 06 Jun 2022, Accepted 06 Sep 2023, Published online: 21 Sep 2023

References

  • ACI Committee. 2019. Technical Documents. Farmington Hills, USA: American Concrete Institute.
  • Charalampakis, A. E., and V. K. Papanikolaou. 2021. “Machine Learning Design of R/C Columns.” Engineering Structures 226 (March 2020): 111412. https://doi.org/10.1016/j.engstruct.2020.111412.
  • Hong, W.-K. 2019. Hybrid Composite Precast Systems (Numerical Investigation to Construction). Alpharetta, USA: Elsevier.
  • Hong, W.-K. 2023a. Artificial Neural Network-Based Optimized Design of Reinforced Concrete Structures. Tayor & Francis (CRC press). https://doi.org/10.1201/9781003314684.
  • Hong, W.-K. 2023b. Artificial Neural Network-Based Prestressed Concrete and Composite Structures. Milton Park, Abingdon-on-Thames, Oxfordshire United Kingdom: Taylor and Francis.
  • Hong, W.-K. 2023c. “(Artificial Neural Networks for Engineering Applications).” In Artificial Intelligence-Based Design of Reinforced Concrete Structures, 329–394. Elsevier. https://doi.org/10.1016/B978-0-443-15252-8.00004-2.
  • Hong, W.-K., and M. Cuong Nguyen. 2022. “AI-Based Lagrange Optimization for Designing Reinforced Concrete Columns.” Journal of Asian Architecture & Building Engineering 21 (6): 2330–2344. https://doi.org/10.1080/13467581.2021.1971998.
  • Hong, W.-K., M. Cuong Nguyen, and T. Dat Pham. 2022. “Optimized Interaction P-M Diagram for Rectangular Reinforced Concrete Column Based on Artificial Neural Networks Abstract.” Journal of Asian Architecture and Building Engineering 22 (1): null–null. https://doi.org/10.1080/13467581.2021.2018697.
  • Hong, W.-K., T. Dat Pham, and V. Tien Nguyen. 2022. “Feature Selection Based Reverse Design of Doubly Reinforced Concrete Beams.” Journal of Asian Architecture and Building Engineering 21 (4): 1472–1496. https://doi.org/10.1080/13467581.2021.1928510.
  • Hong, W.-K., T. A. Le, M. C. Nguyen, and T. D. Pham. 2022. “ANN-Based Lagrange Optimization for RC Circular Columns Having Multiobjective Functions.” Journal of Asian Architecture and Building Engineering 22 (2): 961–976. https://doi.org/10.1080/13467581.2022.2064864.
  • Hong, W.-K., and M. C. Nguyen. 2021. “AI-Based Lagrange Optimization for Designing Reinforced Concrete Columns.” Journal of Asian Architecture and Building Engineering TABE 21 (6): 2330–2344. https://doi.org/10.1080/13467581.2021.1971998.
  • Hong, W.-K., V. T. Nguyen, and M. C. Nguyen. 2021. “Artificial Intelligence-Based Noble Design Charts for Doubly Reinforced Concrete Beams.” Journal of Asian Architecture and Building Engineering 21 (4): 1497–1519. https://doi.org/10.1080/13467581.2021.1928511.
  • Kaarthikeyan, K., and D.R.M. Shanthi. 2016. “Optimization of RC Columns Using Artificial Neural Network.” 7 (4): 219–230.
  • Lagaros, N. D., and M. Papadrakakis. 2015. “Preface.” Computational Methods in Applied Sciences 38 (c): ix–xii. https://doi.org/10.1007/978-3-319-18320-6.
  • Lagrange, J. L. 1804. Leçons sur le calcul des fonctions. Paris: Imperiale.
  • MacGregor, J. G. 1976. “Safety and Limit States Design for Reinforced Concrete.” Canadian Journal of Civil Engineering 3 (4): 484–513. https://doi.org/10.1139/l76-055.
  • MathWorks, (2022a). MATLAB (R2022a).
  • MathWorks, (2022b).” Deep Learning Toolbox: User’s Guide (R2022a).” Accessed July 26, 2012. https://www.mathworks.com/help/pdf_doc/deeplearning/nnet_ug.pdf.
  • MathWorks, (2022c). “Global Optimization: User’s Guide (R2022a).” Accessed July 26, 2012. https://www.mathworks.com/help/pdf_doc/gads/gads.pdf.
  • MathWorks, (2022d). “Optimization Toolbox: Documentation (R2022a).” Accessed July 26, 2022. https://uk.mathworks.com/help/optim/.
  • MathWorks, (2022e). “Parallel Computing Toolbox: Documentation (R2022a).” Accessed July 26, 2022. https://uk.mathworks.com/help/parallel-computing/.
  • MathWorks, (2022f). Statistics and Machine Learning Toolbox: Documentation (R2022a). Accessed July 26, 2022. https://uk.mathworks.com/help/stats/.
  • Peel, C., and T. K. Moon. 2020. “Algorithms for Optimization [Bookshelf].” IEEE Control Systems 40 (2): 92–94. https://doi.org/10.1109/MCS.2019.2961589.
  • Upton, G., and I. Cook. 2014. A Dictionary of Statistics 3e. Oxford university press.
  • Villarrubia, G., J. F. De Paz, P. Chamoso, and F. De la Prieta. 2018. “Artificial Neural Networks Used in Optimization Problems.” Neurocomputing 272:10–16. https://doi.org/10.1016/j.neucom.2017.04.075.
  • Wang, L., S. Nagarajaiah, W. Shi, and Y. Zhou. 2022b. “Seismic Performance Improvement of Base-Isolated Structures Using a Semi-Active Tuned Mass Damper.” Engineering Structures 271:114963. https://doi.org/10.1016/j.engstruct.2022.114963.
  • Wang, L., S. Nagarajaiah, Y. Zhou, and W. Shi. 2023b. “Experimental Study on Adaptive-Passive Tuned Mass Damper with Variable Stiffness for Vertical Human-Induced Vibration Control.” Engineering Structures 280:115714. https://doi.org/10.1016/j.engstruct.2023.115714.
  • Wang, L., W. Shi, X. Li, Q. Zhang, and Y. Zhou. 2019a. “An Adaptive‐Passive Retuning Device for a Pendulum Tuned Mass Damper Considering Mass Uncertainty and Optimum Frequency.” Structural Control and Health Monitoring 26 (7): e2377. https://doi.org/10.1002/stc.2377.
  • Wang, L., W. Shi, Q. Zhang, and Y. Zhou. 2020a. “Study on Adaptive-Passive Multiple Tuned Mass Damper with Variable Mass for a Large-Span Floor Structure.” Engineering Structures 209:110010. https://doi.org/10.1016/j.engstruct.2019.110010.
  • Wang, L., W. Shi, and Y. Zhou. 2019b. “Study on Self‐Adjustable Variable Pendulum Tuned Mass Damper.” The Structural Design of Tall & Special Buildings 28 (1): e1561. https://doi.org/10.1002/tal.1561.
  • Wang, L., W. Shi, and Y. Zhou. 2022a. “Adaptive-Passive Tuned Mass Damper for Structural Aseismic Protection Including Soil–Structure Interaction.” Soil Dynamics and Earthquake Engineering 158:107298. https://doi.org/10.1016/j.soildyn.2022.107298.
  • Wang, L., W. Shi, Y. Zhou, and Q. Zhang. 2020b. “Semi-Active Eddy Current Pendulum Tuned Mass Damper with Variable Frequency and Damping.” Smart Structures and Systems 25 (1): 65–80. https://doi.org/10.12989/sss.2020.25.1.065.
  • Wang, L., Y. Zhou, S. Nagarajaiah, and W. Shi. 2023a. “Bi-Directional Semi-Active Tuned Mass Damper for Torsional Asymmetric Structural Seismic Response Control.” Engineering Structures 293:116744. https://doi.org/10.1016/j.engstruct.2023.116744.
  • Wang, L., Y. Zhou, and W. Shi. 2023a. “Seismic Control of a Smart Structure with Semiactive Tuned Mass Damper and Adaptive Stiffness Property.” Earthquake Engineering and Resilience 2 (1): 74–93. https://doi.org/10.1002/eer2.38.
  • Wang, L., Y. Zhou, and W. Shi. 2023b. “Seismic Response Control of a Nonlinear Tall Building Under Mainshock-Aftershock Sequences Using Semi-Active Tuned Mass Damper.” International Journal of Structural Stability and Dynamics. https://doi.org/10.1142/S0219455423400278.