Design of open reinforced concrete abutments road bridges with hybrid stochastic hill climbing algorithms
DOI:
https://doi.org/10.3989/ic.14.089Keywords:
Structural design, Heuristic optimization, Abutments, Simulated annealing, Threshold accepting, BridgesAbstract
This article deals with the minimum cost automatic design of reinforced concrete open abutments of road bridges, using a two-hybrid stochastic hill climbing algorithms with a neighborhood move based on the mutation operator from the genetic algorithms. These algorithms are based on the simulated annealing (SAMO) as well as on the threshold accepting procedure (TAMO). Both algorithms were applied to an open abutment which has 40 discrete variables. Savings have been found 18 % compared to an abutment of 9 m in height really executed. SAMO improves by only 0.5 % a similar run by TAMO. Additionally, the paper presents a parametric study of commonly used abutments from 6 to 15 m in height for different bearing conditions. Further, the results presented are of much value for the preliminary design of open abutments of road bridges. Finally, it is shown that cost savings are mainly located in the footing of these structures.
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