Simultaneous analysis and optimal design of truss structures via displacement method

被引:0
作者
Kaveh A. [1 ]
Bijari Sh. [1 ]
机构
[1] Centre of Excellence for Fundamental Studies in Structural Engineering, Iran University of Science and Technology, P.O. Box 16846-13114, Narmak, Tehran
关键词
Displacement method; Metaheuristic algorithms; Optimization; Simultaneous analysis and design; Strain energy; Truss structures;
D O I
10.24200/SCI.2019.51563.2253
中图分类号
学科分类号
摘要
This study proposes an efficient technique called displacement method of analysis and applies three metaheuristic algorithms, namely Colliding Bodies Optimization (CBO), Enhanced Colliding Bodies Optimization (ECBO), and Vibrating Particles System (VPS), to perform the simultaneous analysis and optimal design of trusses. The proposed method was applied to the minimum weight design of some planar and spatial truss structures. To investigate the accuracy and effectiveness of the presented method, the problems were designed using the same metaheuristic algorithms through pure force and pure displacement methods as analysis tools (non-simultaneous). Then, the resulting structural weights were compared. © 2020 Sharif University of Technology. All rights reserved.
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收藏
页码:1176 / 1186
页数:10
相关论文
共 26 条
  • [1] Kaveh A., Rahami H., Analysis, design and optimization of structures using force method and genetic algorithm, Int. J. Numer. Methods Eng, 65, pp. 1570-1584, (2016)
  • [2] Kaveh A., Ilchi Ghazaan M., Vibrating particles system algorithm for truss optimization with multiple natural frequency constraints, Acta Mech, 228, 1, pp. 307-322, (2017)
  • [3] Holland J.H., Adaptation in Natural and Artificial Systems, (1975)
  • [4] Eberhart R.C., Kennedy J., A new optimizer using particle swarm theory, Proceedings of the Sixth International Symposium on Micro Machine and Human Science, (1995)
  • [5] Dorigo M., Maniezzo V., Colorni A., The ant system: optimization by a colony of cooperating agents, IEEE Trans. Syst. Man, Cybernet.
  • [6] Part B, 26, pp. 29-41, (1996)
  • [7] Geem Z.W., Joong H.K., Loganathan G.V., A new heuristic optimization algorithm: harmony search, Simul, 76, 2, pp. 60-68, (2001)
  • [8] Erol O.K., Eksin I., New optimization method: big bang-big crunch, Adv. Eng. Softw, 37, pp. 106-111, (2006)
  • [9] Yang X.S., Nature-Inspired Metaheuristic Algorithms, (2010)
  • [10] Kaveh A., Motie Share M.A., Moslehi M., A new meta-heuristic algorithm for optimization: magnetic charged system search, Acta Mech, 224, 1, pp. 85-107, (2013)