Sürdürülebilir Kalkınma Amaçları

• 1

Yazarlar

• Bekdaş, G.(1)
• Bekdaş, Gebrail(1)
• Rafiq, Y.(1)
• Suter, G.(1)
• Temur, Rasim(1)
• Temür, R.(1)
• Toklu, Y.C.(1)
• Toklu, Yusuf Cengiz(1)
• Toklu, Ş.Ç.(1)
• Uzun, F.(1)
• de Wilde, P.(1)

• BildiriYalnız künye2013/r/bayburt/12537
  Nonlinear analysis of structures by Total Potential Optimization using Metaheuristic Algorithms (TPO/MA)

  Toklu, Y.C.; Bekdaş, G.; Temür, R.; Toklu, Ş.Ç.; Uzun, F.; de Wilde, P.; Suter, G.; Rafiq, Y.

  Structural analysis problems can be formulized as either root finding problems, or optimization problems. The general practice is to choose the first option directly or to convert the second option again to a root finding problem by taking relevant derivatives and equating them to zero. The second alternative is used very randomly as it is and that only for some simple demonstrative problems, most probably due to difficulty in solving optimization problems by classical methods. The method called Total Potential Optimization using Metaheuristic Algorithms (TPO/MA) described in this study successfully enables handling structural problems with optimization formulation. Using metaheuristic algorithms provides additional advantages in dealing with all kinds of constraints.

  AtıfScopus1

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• MakaleYalnız künye2013Scopus SJRQ2/r/bayburt/12460
  Analysis of trusses by total potential optimization method coupled with harmony search

  Toklu, Yusuf Cengiz; Bekdaş, Gebrail; Temur, Rasim

  Current methods of analysis of trusses depend on matrix formulations based on equilibrium equations which are in fact derived from energy principles, and compatibility conditions. Recently it has been shown that the minimum energy principle, by itself, in its pure and unmodified form, can well be exploited to analyze structures when coupled with an optimization algorithm, specifically with a meta-heuristic algorithm. The resulting technique that can be called Total Potential Optimization using Meta-heuristic Algorithms (TPO/MA) has already been applied to analyses of linear and nonlinear plane trusses successfully as coupled with simulated annealing and local search algorithms. In this study the technique is applied to both 2-dimensional and 3-dimensional trusses emphasizing robustness, reliability and accuracy. The trials have shown that the technique is robust in two senses: all runs result in answers, and all answers are acceptable as to the reliability and accuracy within the prescribed limits. It has also been shown that Harmony Search presents itself as an appropriate algorithm for the purpose.

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  AtıfScopus33·WoS26·OpenAlex26

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