Design of reinforced concrete bridge frames by heuristic optimization

  • Authors:

  • Cristian Perea;Julian Alcala;Victor Yepes;Fernando Gonzalez-Vidosa;Antonio Hospitaler

  • Affiliations:

  • School of Civil Engineering, Construction Engineering Department, Technical University of Valencia, Campus de Vera, 46022 Valencia, Spain;School of Civil Engineering, Construction Engineering Department, Technical University of Valencia, Campus de Vera, 46022 Valencia, Spain;School of Civil Engineering, Construction Engineering Department, Technical University of Valencia, Campus de Vera, 46022 Valencia, Spain;School of Civil Engineering, Construction Engineering Department, Technical University of Valencia, Campus de Vera, 46022 Valencia, Spain;School of Civil Engineering, Construction Engineering Department, Technical University of Valencia, Campus de Vera, 46022 Valencia, Spain

  • Venue:
  • Advances in Engineering Software
  • Year:
  • 2008

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Abstract

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.