تعداد نشریات | 31 |
تعداد شمارهها | 748 |
تعداد مقالات | 7,112 |
تعداد مشاهده مقاله | 10,245,895 |
تعداد دریافت فایل اصل مقاله | 6,899,567 |
بهینه سازی قاب های بتن آرمه بر اساس عملکرد با استفاده از الگوریتم های فراکاوشی و شبکۀ عصبی | ||
تحقیقات بتن | ||
مقاله 6، دوره 13، شماره 4 - شماره پیاپی 32، دی 1399، صفحه 67-81 اصل مقاله (867.38 K) | ||
نوع مقاله: مقاله پژوهشی | ||
شناسه دیجیتال (DOI): 10.22124/jcr.2020.13031.1357 | ||
نویسنده | ||
مسعود دانش* | ||
گروه عمران، دانشکدۀ فنی خوی، دانشگاه ارومیه، خوی، ایران | ||
چکیده | ||
هدف اصلی در بهینه سازی قابهای بتن آرمه براساس عملکرد، کاهش هزینه های ساخت با الزام ارضای قیدهای دریفت طبقات و چرخش مفاصل پلاستیک اعضا می باشد. در این تحقیق از الگوریتم های فراکاوشی اجتماع ذرات، برخورد اجسام، کرم شب تاب، کلونی مورچگان و خفاش، برای بهینه سازی قاب های بتن آرمۀ 3 و 6 طبقه براساس عملکرد استفاده شده، نتایج حاصله از الگوریتم های فوق با هم مقایسه شده اند. بهینه سازی سازه های بتن آرمه، بسیار پیچیده تر از سازه های فولادی می باشد. علت این امر، وجود اندازه های مختلف برای ابعاد اعضا و آرایش های متفاوت برای آرماتورگذاری میباشد. در این تحقیق با توجه به هزینۀ محاسباتی بالای ارزیابی عملکرد لرزه ای سازهها، برای افزایش سرعت محاسبات و کاهش زمان عملیات، از شبکه های عصبی استفاده شده است. نتایج عددی، عملکرد مناسب تر الگوریتم برخورد اجسام در مقایسه با سایر الگوریتم های فراکاوشی را نشان می دهد. | ||
کلیدواژهها | ||
بهینه سازی قاب های بتن آرمه بر اساس عملکرد؛ الگوریتم اجتماع ذرات PSO؛ الگوریتم کلونی مورچگان ACO؛ الگوریتم خفاش BAT؛ الگوریتم برخورد اجسامECBO | ||
مراجع | ||
[1] Zou, X.-K., Optimal seismic performance-based design of reinforced concrete buildings, in Structural Seismic Design Optimization and Earthquake Engineering: Formulations and Applications. 2012, IGI Global. p. 208-231. [2] Fragiadakis, M. and M. Papadrakakis, Performance‐based optimum seismic design of reinforced concrete structures. Earthquake Engineering & Structural Dynamics, 2008. 37(6): p. 825-844. [3] Khatibinia, M., S. Gharehbaghi, and A. Moustafa, Seismic reliability-based design optimization of reinforced concrete structures including soil-structure interaction effects, in Earthquake Engineering-From Engineering Seismology to Optimal Seismic Design of Engineering Structures. 2015, InTech. [4] Khatibinia, M., et al., Reliability-based design optimization of reinforced concrete structures including soil–structure interaction using a discrete gravitational search algorithm and a proposed metamodel. Engineering Optimization, 2013. 45(10): p. 1147-1165. [5] Park, R.L., R. Park, and T. Paulay, Reinforced concrete structures. 1975: John Wiley & Sons. [6] Gholizadeh, S. and V. Aligholizadeh, Optimum design of reinforced concrete frames using bat meta-heuristic algorithm. 2013. [7] Zou, X.-K. and C.-M. Chan, Optimal seismic performance-based design of reinforced concrete buildings using nonlinear pushover analysis. Engineering Structures, 2005. 27(8): p. 1289-1302. [8] Kaveh, A. and O. Sabzi, A comparative study of two meta-heuristic algorithms for optimum design of reinforced concrete frames. International Journal of Civil Engineering, 2011. 9(3): p. 193-206. [9] Haselton, C.B., et al., An assessment to benchmark the seismic performance of a code-conforming reinforced-concrete moment-frame building. Pacific Earthquake Engineering Research Center, 2008(2007/1). [10] Lee, C. and J. Ahn, Flexural design of reinforced concrete frames by genetic algorithm. Journal of structural engineering, 2003. 129(6): p. 762-774. [11] Gholizadeh, S. and R. Sojoudizadeh, Modified Sine-Cosine Algorithm for Sizing Optimization of Truss Structures with Discrete Design Variables. Int. J. Optim. Civil Eng, 2019. 9(2): p. 195-212. [12] Rajeev, S. and C. Krishnamoorthy, Discrete optimization of structures using genetic algorithms. Journal of structural engineering, 1992. 118(5): p. 1233-1250. [13] Kennedy, J. and R.C. Eberhart. A discrete binary version of the particle swarm algorithm. in Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on. 1997. IEEE. [14] Kaveh, A., et al., Performance-based seismic design of steel frames using ant colony optimization. Journal of Constructional Steel Research, 2010. 66(4): p. 566-574. [15] Kaveh, A. and M.I. Ghazaan, Enhanced whale optimization algorithm for sizing optimization of skeletal structures. Mechanics Based Design of Structures and Machines, 2017. 45(3): p. 345-362. [16] Yang, X.-S. Firefly algorithms for multimodal optimization. in International symposium on stochastic algorithms. 2009. Springer. [17] Yang, X.-S., A new metaheuristic bat-inspired algorithm, in Nature inspired cooperative strategies for optimization (NICSO 2010). 2010, Springer. p. 65-74. [18] Wang, F., H. Liu, and J. Cheng, Visualizing deep neural network by alternately image blurring and deblurring. Neural Networks, 2018. 97: p. 162-172. [19] Basu, S., et al., Deep neural networks for texture classification—A theoretical analysis. Neural Networks, 2018. 97: p. 173-182. [20] Lin, K.-Y. and D.M. Frangopol, Reliability-based optimum design of reinforced concrete girders. Structural safety, 1996. 18(2-3): p. 239-258. [21] Möller, O., et al., Structural optimization for performance-based design in earthquake engineering: Applications of neural networks. Structural Safety, 2009. 31(6): p. 490-499. [22] Möller, O., et al., Seismic structural reliability using different nonlinear dynamic response surface approximations. Structural Safety, 2009. 31(5): p. 432-442. [23] Fragiadakis, M. and M. Papadrakakis, Performance-based optimum seismic design of reinforced concrete structures. Earthquake Engineering & Structural Dynamics, 2008. 37(6): p. 825-844. [24] Khatibinia, M., et al., Reliability-based design optimization of reinforced concrete structures including soil–structure interaction using a discrete gravitational search algorithm and a proposed metamodel. Engineering Optimization, 2012. 45(10): p. 1147-1165. [25] Kaveh, A. and O. Sabzi, A comparative study of two meta-heuristic algorithms for optimum design of reinforced concrete frames. 2011. [26] Gholizadeh, S. and V. Aligholizadeh, Optimum design of reinforced concrete frames using bat meta-heuristic algorithm. Iran University of Science & Technology, 2013. 3(3): p. 483-497. [27] Danesh, M., S. Gholizadeh, and C. Gheyratmand, PERFORMANCE-BASED OPTIMIZATION AND SEISMIC COLLAPSE SAFETY ASSESSMENT OF STEEL MOMENT FRAMES. International Journal of Optimization in Civil Engineering, 2019. 9(3): p. 483-498. [28] Danesh, M., Evaluation of Seismic Performance of PBD Optimized Steel Moment Frames by Means of Neural Network. Jordan Journal of Civil Engineering, 2019. 13(3). [29] Committee, A., A.C. Institute, and I.O.f. Standardization. Building code requirements for structural concrete (ACI 318-08) and commentary. 2008. American Concrete Institute. [30] MathWorks, I., MATLAB: the language of technical computing. Desktop tools and development environment, version 7. Vol. 9. 2005: MathWorks. [31] Gu, Q., J. Conte, and M. Barbato, OpenSees command language manual response sensitivity analysis based on the direct differentiation method (DDM). Berkeley, CA: Pacific Earthquake Engineering Center, University of California, 2010. [32] Committee, A.S.S.R.S., Seismic rehabilitation of existing buildings (ASCE/SEI 41-06). American Society of Civil Engineers, Reston, VA, 2007. [33] Council, B.S.S., Prestandard and commentary for the seismic rehabilitation of buildings. Report FEMA-356, Washington, DC, 2000. [34] Vanderplaats, G.N., Numerical optimization techniques for engineering design. 2001: Vanderplaats Research and Development, Incorporated. | ||
آمار تعداد مشاهده مقاله: 1,080 تعداد دریافت فایل اصل مقاله: 798 |