Effect of Seismic Isolation with Triple Friction Pendulum Isolator Device on Weight Optimization of Steel Plane Frames

Year 2021, Volume: 13 Issue: 3, 79 - 92, 09.12.2021

Refik Burak Taymuş İbrahim Aydoğdu

https://doi.org/10.24107/ijeas.996630

Abstract

In the study, the weight efficiency of the Triple Friction Pendulum Bearing (TFP) Isolators is investigated on optimal weight of planar steel frames. For this investigation, an optimization program based on Artificial Bee Colony (ABC) algorithm have been developed for this study. In the design of steel frames, the structure should satisfy strength, inter-story drift, top-story drift and geometric requirements that are implemented from LRFD-AISC. For the research, 8 different planar frames were optimized as seismic-isolated and fixed-based, which were diversified according to story height and bracing. According to the results, the frames with TFP isolators, especially non-braced ones are a lot more advantageous regarding the optimal weight.

Keywords

Triple friction pendulum isolator, Planar steel frame, Bracing, Seismic-isolated, Artificial bee colony algorithm

References

• Dillen, W., Lombaert, G., and Schevenels, M., A hybrid gradient-based/metaheuristic method for Eurocode-compliant size, shape and topology optimization of steel structures, Engineering Structures, 239, 112137, 2021.
• Ficarella, E., Lamberti, L., and Degertekin, S.O., Comparison of three novel hybrid metaheuristic algorithms for structural optimization problems, Computers and Structures, 244, 106395, 2021.
• Gonçalves, M.S., Lopez, R.H., and Fleck Fadel Miguel, L., Search group algorithm: A new metaheuristic method for the optimization of truss structures, Computer and Structures, 153, 165-184, 2015.
• Jahangiri, M., Hadianfard, M.A., Najafgholipour, M.A., Jahangiri, M., Gerami, M.R., Interactive autodidactic school: A new metaheuristic optimization algorithm for solving mathematical and structural design optimization problems, Computer and Structures, 235, 106268, 2020.
• Tran-Ngoc, H., Khatir, S., Ho-Khac, H., De Roeck, G., Bui-Tien, T., Abdel Wahab, M., Efficient Artificial neural networks based on a hybrid metaheuristic optimization algorithm for damage detection in laminated composite structures, Composite Structures, 262, 113339, 2021.
• Fleck Fadel Miguel, L., Fleck Fadel Miguel L., Shape and size optimization of truss structures considering dynamic constraints through modern metaheuristic algorithms, Expert Systems with Applications, 39, 9458-9467, 2012.
• Aydoğdu, İ., Akın, A., Saka, M.P., Design optimization of real world steel space frames using artificial bee colony algorithm with Levy flight distribution, Advances in Engineering Software, 92, 1-14, 2016.
• Jawad, F.K.J., Ozturk, C., Dansheng, W., Mahmood, M., Al-Azzawi, O., Al-Jemely, A., Sizing and layout optimization of truss structures with artificial bee colony algorithm, Structures, 30, 546-559, 2021.
• Skandalos, K., Afshari, H., Hare, W., Tesfamariam, S., Multi-objective optimization of inter-story isolated buildings using metaheuristic and derivative-free algorithms, Soil Dynamics and Earthquake Engineering, 132, 106058, 2020.
• Tsipianitis, A., Tsompanakis, Y., Optimizing the seismic response of base-isolated liquid storage tanks using swarm intelligence algorithms, Computers and Structures, 243, 106407, 2021.
• Çerçevik, A.E., Avşar, Ö., Hasançebi, O., Optimum design of seismic isolation systems using metaheuristic search methods, Soil Dynamics and Earthquake Engineering, 131, 106012, 2020.
• Peng, Y., Ma, Y., Huang, T., De Domenico, D., Reliability-based design optimization of adaptive sliding base isolation system for improving seismic performance of structures, Reliability Engineering and System Safety, 205, 107167, 2021.
• Rizzian, L., Leger, N., Marchi, M., Multiobjective sizing optimization of seismic-isolated reinforced concrete structures, Procedia Engineering, 199, 372-377, 2017.
• Jiang, L., Zhong, J., Yuan, W., The pulse effect on the isolation device optimization of simply supported bridges in near-fault regions, Structures, 27, 853-867, 2020.
• LRFD-AISC, Manual of steel construction, In: “Load and Resistance Factor Design”, Third Edition, AISC, I&II, 2001.
• Ad Hoc Committee on Serviceability, Structural serviceability: A critical appraisal and research needs, Journal of Structural Engineering, ASCE, 112(12), 2646–2664, 1986.
• Karaboga, D., An idea based on honey bee swarm for numerical optimization, Technical Report-TR 06, 2005.
• Karaboga, D., Basturk, B., A powerful and efficient algorithm for numerical function optimization: artificial bee colony (ABC) algorithm, Journal of Global Optimization, 39, 459-471, 2007.
• Basturk, B., Karaboga, D., An artificial bee colony (ABC) algorithm for numeric function optimization, Proceedings of IEEE Swarm Intelligence Symposium, Indianapolis, Indiana, USA, 12–14 May 2006.
• Karaboga, D., Basturk, B., Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems, IFSA 2007: Foundations of Fuzzy Logic and Soft Computing, LNCS: 4529, 789–798, 2007.
• Karaboga, D., Basturk, B., On the performance of artificial bee colony (ABC) algorithm, Applied Soft Computing, 8(1), 687–697, 2008.
• Karaboga, D., Akay, B., A modified artificial bee colony (ABC) algorithm for constrained optimization problems, Applied Soft Computing, 11, 3021–3031, 2011.
• Karaboga, D., Gorkemli, B., Ozturk, C., Karaboga, N., A comprehensive survey: artificial bee colony (ABC) algorithm and applications. Artificial Intelligence Review, 42, 21–57, 2014.
• Constantinou, M.C., Kalpakidis, I., Filiatrault, A., Ecker Lay, R.A., LRFD-Based analysis and design procedures for bridge bearings and seismic isolators, Technical Report, 2010.