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Design of reinforced concrete bridge frames by heuristic optimization

机译：启发式优化设计钢筋混凝土桥架

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This paper deals with the economic optimization of reinforced concrete box frames used in road construction. It shows the efficiency of four heuristic algorithms applied to a problem of 50 design variables. Heuristic methods used are the random walk and the descent local search. The metaheuristic methods are the threshold accepting and the simulated annealing. The four methods have been applied to the same frame of 13 m of horizontal span. The comparison of the four heuristic algorithms leads to the conclusion that the proposed threshold accepting is more efficient, since it improves cost results of the random walk and descent local search by 7.5% and 1.4%, respectively, while improving deviation of random results of the simulated annealing. Finally, the inclusion of the deflections and fatigue limit states appears to be crucial, since their ignorance leads to 3.9% more economic but unsafe results.
机译：本文探讨了用于公路建设的钢筋混凝土箱形框架的经济优化。它显示了将四种启发式算法应用于50个设计变量问题的效率。使用的启发式方法是随机游走和下降局部搜索。元启发法是阈值接受和模拟退火。这四种方法已应用于水平跨度为13 m的同一帧。四种启发式算法的比较得出以下结论：建议的阈值接受效率更高，因为它分别将随机游走和下降局部搜索的成本结果提高了7.5％和1.4％，同时改善了随机搜索和下降局部搜索的成本结果模拟退火。最后，将挠曲和疲劳极限状态包括在内似乎是至关重要的，因为它们的无知会导致3.9％的经济性但不安全的结果。

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