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Seismic Design Optimization of Steel Frames with Steel Shear Wall System Using Modified Dolphin Algorithm

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Abstract

The first step in any successful design of a structure is selecting the exact and accurate designing method. Designing a structure most economically (i.e. materials such as steel and concrete) by satisfying seismic and gravity criteria based on codes of practice is a complicated procedure that requires not only technical engineering knowledge but also years of experience. Thus, this paper presents an efficient and reliable approach to obtain the optimum design in steel frames with shear walls as the main seismic bearing component. The main objective is to use a modified dolphin echolocation algorithm with a multi-variability ability approach in achieving the optimized results. This approach represents the best positioning option for steel shear walls in elevations, spans, and dimensions of the elements. According to modifications applied to the algorithm, the computational time decreases, and the results are highly accurate. The designed structures with the minimum amount of steel satisfy all the requirements in the seismic design and steel structures design code, and the results of this work are entirely efficient. This efficiency is illustrated by three numerical examples. The results illustrated the superiority of the metaheuristic approach over the standard procedure. Besides, considering the weight of shear wall for the first time led to the 10% reduction of the weight of the structure.

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References

  • AISC-ANSI. (2010). AISC 341–10, seismic provisions for structural steel buildings. Chicago: American Institute of Steel Construction.

    Google Scholar 

  • Astaneh-Asl, A. (2001). Seismic behavior and design of steel shear walls. Moraga, CA: Structural Steel Educational Council

  • Au, W. W. L. (2012). The sonar of dolphins. Berlin: Springer Science & Business Media.

    Google Scholar 

  • Beheshti Aval, S. B., Ketabdari, H., & Asil Gharebaghi, S. (2017). Estimating shear strength of short rectangular reinforced concrete columns using nonlinear regression and gene expression programming. Structures, 12, 13–23.

    Article  Google Scholar 

  • Berman, J. W. (2003). Cyclic Testing of Light-Gauge Steel Plate Shear Walls. In: STESSA 2003-Behaviour of Steel Structures in Seismic Areas: Proceedings of the 4th International Specialty Conference, Naples, Italy, 9–12 June 2003, p. 135. CRC Press

  • Canadian Standards Association. (2001). CAN/CSA–S16. 1 limit states design of steel structures." Mississauga, Ontario

  • Daryan, A. S., Palizi, S., & Farhoudi, N. (2019). Optimization of plastic analysis of moment frames using modified dolphin echolocation algorithm. Advances in Structural Engineering, 22(11), 2504–2516. https://doi.org/10.1177/1369433219845151

    Article  Google Scholar 

  • Doan, Q. H., & Dongkyu, L. (2019). Optimal formation assessment of multi-layered ground retrofit with arch-grid units considering buckling load factor. International Journal of Steel Structures, 19(1), 269–282. https://doi.org/10.1007/s13296-018-0115-x

    Article  Google Scholar 

  • Dorigo, M., Birattari, M., & Stutzle, T. (2006). Ant colony optimization. IEEE computational intelligence magazine, 1(4), 28–39. https://doi.org/10.1109/MCI.2006.329691

    Article  Google Scholar 

  • Gandomi, A. H., Yang, X.-S., & Alavi, A. H. (2013). Cuckoo search algorithm: a metaheuristic approach to solve structural optimization problems. Engineering with Computers, 29(1), 17–35. https://doi.org/10.1007/s00366-011-0241-y

    Article  Google Scholar 

  • Geem, Z. W., Joong, H. K., & Loganathan, G. V. (2001). A new heuristic optimization algorithm: Harmony search. Simulation, 76(2), 60–68. https://doi.org/10.1177/003754970107600201

    Article  Google Scholar 

  • Gholizadeh, S., & Poorhoseini, H. (2016). Seismic layout optimization of steel braced frames by an improved dolphin echolocation algorithm. Structural and Multidisciplinary Optimization, 54(4), 1011–1029. https://doi.org/10.1007/s00158-016-1461-y

    Article  Google Scholar 

  • Gholizadeh, S., & Shahrezaei, A. M. (2015). Optimal placement of steel plate shear walls for steel frames by bat algorithm. The Structural Design of Tall and Special Buildings, 24(1), 1–18. https://doi.org/10.1002/tal.1151

    Article  Google Scholar 

  • Goldberg, D. E., Samtani, M. P. (1986). Engineering optimization via genetic algorithm. In Electronic computation, pp. 471–482. ASCE.

  • Hagishita, T., & Ohsaki, M. (2008). Optimal placement of braces for steel frames with semi-rigid joints by scatter search. Computers & structures, 86(21–22), 1983–1993. https://doi.org/10.1016/j.compstruc.2008.05.002

    Article  Google Scholar 

  • Karaboga, D., & Bahriye, B. (2007). Artificial bee colony (ABC) optimization algorithm for solving constrained optimization problems. International Fuzzy Systems Association World Congress. https://doi.org/10.1007/978-3-540-72950-1_77

    Article  MATH  Google Scholar 

  • Kaveh, A., Farhoodi, N. (2010). Layout optimization for x-bracing of planar steel frames using ant system. 256–275

  • Kaveh, A., & Farhoudi, N. (2011). A unified approach to parameter selection in meta-heuristic algorithms for layout optimization. Journal of Constructional Steel Research, 67(10), 1453–1462. https://doi.org/10.1016/j.jcsr.2011.03.019

    Article  Google Scholar 

  • Kaveh, A., & Farhoudi, N. (2013). A new optimization method: Dolphin echolocation. Advances in Engineering Software, 59, 53–70.

    Article  Google Scholar 

  • Kaveh, A., & Farhoudi, N. (2015). Layout optimization of braced frames using differential evolution algorithm and dolphin echolocation optimization. Periodica Polytechnica Civil Engineering, 59(3), 441–449. https://doi.org/10.3311/PPci.8155

    Article  Google Scholar 

  • Kaveh, A., & Farhoudi, N. (2016). Dolphin monitoring for enhancing metaheuristic algorithms: Layout optimization of braced frames. Computers & Structures, 165, 1–9. https://doi.org/10.1016/j.compstruc.2015.11.012

    Article  Google Scholar 

  • Kennedy, J., Russell, E. (1995) Particle swarm optimization. In: Proceedings of ICNN'95-International Conference on Neural Networks, 4: 1942–1948 IEEE. https://doi.org/10.1109/ICNN.1995.488968

  • Ketabdari, H., Saedi Daryan, A., & Hassani, N. (2019). Predicting post-fire mechanical properties of grade 8.8 and 10.9 steel bolts. Journal of Constructional Steel Research, 162, 105735.

    Article  Google Scholar 

  • Ketabdari, H., Karimi, F., & Rasouli, M. (2020). Shear strength prediction of short circular reinforced-concrete columns using soft computing methods. Advances in Structural Engineering, 23(14), 3048–3061.

    Article  Google Scholar 

  • Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by simulated annealing. Science, 220(4598), 671–680. https://doi.org/10.1126/science.220.4598.671

    Article  MathSciNet  MATH  Google Scholar 

  • Lee, D., & Shin, S. (2015). High tensile UL700 frame module with adjustable control of length and angle. Journal of Constructional Steel Research, 106, 246–257. https://doi.org/10.1016/j.jcsr.2014.12.003

    Article  Google Scholar 

  • Lee, D., Shin, S., & Doan, Q. H. (2018). Real-time robust assessment of angles and positions of nonscaled steel outrigger structure with Maxwell-Mohr method. Construction and Building Materials, 186, 1161–1176. https://doi.org/10.1016/j.conbuildmat.2018.07.212

    Article  Google Scholar 

  • Palizi, S., & Daryan, A. S. (2020). Plastic analysis of braced frames by application of metaheuristic optimization algorithms. International Journal of Steel Structures. https://doi.org/10.1007/s13296-020-00347-z

    Article  Google Scholar 

  • Sabelli, R., & Michel, B. (2007). Design guide 20: Steel plate shear walls. Chicago, IL: American Institute of Steel Construction.

    Google Scholar 

  • Sabouri-Ghomi, S., & Sajjadi, S. R. A. (2012). Experimental and theoretical studies of steel shear walls with and without stiffeners. Journal of constructional steel research, 75, 152–159. https://doi.org/10.1016/j.jcsr.2012.03.018

    Article  Google Scholar 

  • Saedi Daryan, A., & Palizi, S. (2020). New Plastic Analysis Procedure for Collapse Prediction of Braced Frames by Means of Genetic Algorithm. Journal of Structural Engineering, 146(1), 04019168. https://doi.org/10.1061/(ASCE)ST.1943-541X.0002462

    Article  Google Scholar 

  • Salari, M. (2019). Layout optimization of steel shear wall exposed to seismic load using optimization algorithm, Master's thesis for Earthquake Engineering, Department of Civil Engineering, Shahid Beheshti University, Tehran, Iran

  • SEI/ASCE 7-05. (2005). Minimum design loads for buildings and other structures. American Sosiety of Civil Engineers, Reston, VA

  • Standard 2800, (1394) Building regulations for earthquake engineering, 4 ed., Housing and Urban Planning Research Center, Ministry of Roads and Urban Planning, Tehran, Iran, (In Persian)

  • The National Building Regulations. (1392). Theme 10: Design and Implementation of Steel Buildings, Ministry of Roads and Urban Development, Deputy Director of Housing and Building, Tehran, Iran, (In Persian)

  • Yang, X.-S. (2010). Firefly algorithm, stochastic test functions and design optimisation. International journal of bio-inspired computation, 2(2), 78–84. https://doi.org/10.1504/IJBIC.2010.032124

    Article  Google Scholar 

  • Yang, X.-S. (2011). Bat algorithm for multi-objective optimisation. International Journal of Bio-Inspired Computation, 3(5), 267–274. https://doi.org/10.1504/IJBIC.2011.042259

    Article  Google Scholar 

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Correspondence to Amir Saedi Daryan.

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Saedi Daryan, A., Salari, M., Farhoudi, N. et al. Seismic Design Optimization of Steel Frames with Steel Shear Wall System Using Modified Dolphin Algorithm. Int J Steel Struct 21, 771–786 (2021). https://doi.org/10.1007/s13296-021-00472-3

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  • DOI: https://doi.org/10.1007/s13296-021-00472-3

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