پیوندهای مفید
آمار
| تعداد نشریات | 21 |
| تعداد شماره‌ها | 641 |
| تعداد مقالات | 9,362 |
| تعداد مشاهده مقاله | 68,024,415 |
| تعداد دریافت فایل اصل مقاله | 29,206,078 |
Comparison of ASD and LRFD with W sections for the optimization and stress ratio of steel frames using genetic algorithm in SAP2000 and ETABS | ||
| International Journal of Nonlinear Analysis and Applications | ||
| مقالات آماده انتشار، اصلاح شده برای چاپ، انتشار آنلاین از تاریخ 19 اسفند 1403 اصل مقاله (1000.99 K) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22075/ijnaa.2024.34184.5101 | ||
| نویسندگان | ||
| Mahdi Mohammadi Farsam* 1؛ Masoud Mahmoud Abadi1؛ Farzad Lari2 | ||
| 1Department of Civil Engineering, Faculty of Engineering, University of Qom, Qom, Iran | ||
| 2Department of Engineering, South Tehran Branch, Islamic Azad University, Tehran, Iran | ||
| تاریخ دریافت: 30 بهمن 1402، تاریخ بازنگری: 31 اردیبهشت 1403، تاریخ پذیرش: 05 خرداد 1403 | ||
| چکیده | ||
| Any optimum design requires adequate skill and experience. Overall, having a multitude of variables in a design makes manual optimization fairly difficult or even unattainable. Importantly, due to the paucity of resources and the existence of competitive space, one can only implement and accomplish high-throughput plans, thereby making it crucial to profit from optimization methods. In this research, the objective function was the structure's weight, which was supposed to be directly correlated with its cost. Design models were optimized separately, investigated, and compared using genetic algorithm (GA), LRFD, and ASD analyses with W sections for frames. The cross-section of beams and columns were studied as design variables, and the constraints specified in the Iranian National Building Code (Part 10) were considered design constraints. Ultimately, the graphs for GA and stress ratio in each condition of LRFD and ASD for the W sections were obtained and compared, followed by analyzing and comparing the stress ratio in SAP2000. | ||
| کلیدواژه‌ها | ||
| Optimization؛ Steel structures؛ Genetic algorithm؛ LRFD analysis؛ ASD analysis؛ Sap2000 | ||
| مراجع | ||
|
[1] S.H. Afzali, A. Darabi, and M. Niazkar, Steel frame optimal design using MHBMO algorithm, Steel Struct. 16 (2016), no. 2, 455–465. [2] M. Bahreynipour Sirjani and A. Robati, Weight optimization of steel moment frame based on genetic algorithm, 3 rd Int. Conf. Civil Engin. Archit. Urban Design, Tabriz, 2018. [3] E. Dogan and M.P. Saka, Optimum design of unbraced steel frames to LRFD–AISC using particle swarm optimization, Adv. Engin. Software 46 (2012), no. 1, 27–34. 4] B. Ekici, C. Cubukcuoglu, M. Turrin, and I.S. Sariyildiz, Performative computational architecture using swarm and evolutionary optimisation: A review, Build. Envir. 147 (2018), no. 9, 356–371. [5] S. Gholizadeh, Performance-based optimum seismic design of steel structures by a modified firefly algorithm and a new neural network, Adv. Engin. Software 81 (2015), no. 10, 50–65. [6] S. Khalafi and S.A. Hoseyni, Performance optimization of steel moment frame structure using meta-heuristic optimization algorithms, 2nd Nat. Conf. Appl. Res. Civil Engin. (structural engineering and construction management), Tehran, 2017. [7] C.S. Kao and I. Yeh, Optimal design of reinforced concrete plane frames using artificial neural networks, Comput. Concrete 14 (2014), no. 4, 445–462. [8] A. Kaveh, B. Farahmand Azar, A. Hadidi, F. Rezazadeh Sorochi, and S. Talatahari, Performance-based seismic design of steel frames using ant colony optimization, J. Construct. Steel Res. 66 (2010), no. 4, 566–574. [9] A. Kaveh and A. Nasrollahi, Performance-based seismic design of steel frames utilizing charged system search optimization, Appl. Soft Comput. 22 (2014), no. 6, 213–221. [10] A. Kaveh and S. Talatahari, An improved ant colony optimization for the design of planar steel frames, Engin. Struct. 32 (2010), no. 3, 864–873. [11] A. Kaveh and S. Talatahari, Charged system search for optimal design of frame structures, Appl. Soft Comput. 12 (2012), no. 1, 382–393. [12] A. Kaveh and P. Zakian, Optimal design of steel frames under seismic loading using two meta-heuristic algorithms, J. Construct. Steel Res. 82 (2013), no. 3, 111–130. [13] P. Kripakaran, B. Hall, and A. Gupta, A genetic algorithm for design of moment-resisting steel frames, Struct. Multidisc. Optim. 44 (2011), no. 2, 559–574. [14] M. Kociecki and H. Adeli, Two-phase genetic algorithm for topology optimization of free-form steel space-frame roof structures with complex curvatures, Engin. Appl. Artific. Intell. 32 (2014), no. 4, 218–227. [15] M.R. Maheri and M.M. Narimani, An enhanced harmony search algorithm for optimum design of side sway steel frames, Comput. Struct. 136 (2014), no. 8, 78–89. [16] M. Mohammadi Farsam, M.R. Adel Parvar, and M. Mahmoodabadi, Optimization of steel frames with genetic algorithm and LRFD analysis, Int. Conf. Civil Engin. Archit. Urban Plann. Contemp. Iran, Tehran, 2017. [17] M. Mohammadi Farsam and M. Mahmoodabadi, Comparison of optimization of steel frames by ASD method with I and W sections using genetic algorithm, 11th Nat. Conf. 4th Int. Conf. Struct. Steel 2nd Nat. Conf. Light Steel Frames (LSF), Tehran, 2024. [18] D.T. Phan, J.B. Lim, T.T. Tanyimboh, A. Wrzesien, W. Sha, and R. Lawson, Optimal design of cold-formed steel portal frames for stressed-skin action using genetic algorithm, Engin. Struct. 3 (2015), no. 2, 36–49. [19] O. Sadik, M. Degertekin, and S. Hayalioglu, Harmony search algorithm for minimum cost design of steel frames with semi-rigid connections and column bases, Ind. Appl. 42 (2010), no. 5, 755–768. [20] M. Sepehari Manesh, B. Ahmadi Nadoushan, and H.A. Rahimi Bandarabadi, Optimization of space-frame structures using genetic algorithm based on reliability theory, 12th Nat. Cong. Civil Engin., Tabriz, 2020. [21] R. Sojoodizadeh and S. Gholizadeh, Elite particle method in discrete optimization of structures, Civil Envir. Engin. 52 (2023), no. 3. [22] V. Togan, Design of planar steel frames using Teaching: Learning based optimization, Engin. Struct. 34 (2012), no. 4, 225–232. [23] G. Yanglin, X. Yusong, and X. Lei, Optimal capacity design of eccentrically braced steel frameworks using nonlinear response history analysis, Engin. Struct. 48 (2013), no. 4, 28–36. | ||
|
آمار تعداد مشاهده مقاله: 602 تعداد دریافت فایل اصل مقاله: 66 |
||