期刊
JOURNAL OF ZHEJIANG UNIVERSITY-SCIENCE A
卷 13, 期 6, 页码 420-432出版社
ZHEJIANG UNIV PRESS
DOI: 10.1631/jzus.A1100304
关键词
Bridge piers; Concrete structures; Multi-objective optimization; Simulated annealing (SA); Structural design
资金
- Spanish Ministry of Science and Innovation [BIA2011-23602]
- European Community
- European Regional Development Fund (FEDER), Spain
This paper describes one approach to the design of reinforced concrete (RC) bridge piers, using a three-hybrid multi-objective simulated annealing (SA) algorithm with a neighborhood move based on the mutation operator from the genetic algorithms (GAs), namely MOSAMO1, MOSAMO2 and MOSAMO3. The procedure is applied to three objective functions: the economic cost, the reinforcing steel congestion and the embedded CO2 emissions. Additional results for a random walk and a descent local search multi-objective algorithm are presented. The evaluation of solutions follows the Spanish Code for structural concrete. The methodology was applied to a typical bridge pier of 23.97 m in height. This example involved 110 design variables. Results indicate that algorithm MOSAMO2 outperforms other algorithms regarding the definition of Pareto fronts. Further, the proposed procedure will help structural engineers to enhance their bridge pier designs.
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