Multi-objective optimization design of bridge piers with hybrid heuristic algorithms

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 algo- rithms （GAs）, namely MOSAMO1, MOSAMO2 and MOSAMO3. The pro...

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Bibliographic Details
Published inJournal of Zhejiang University. A. Science Vol. 13; no. 6; pp. 420 - 432
Main Authors Martinez-Martin, Francisco J., Gonzalez-Vidosa, Fernando, Hospitaler, Antonio, Yepes, Víctor
Format Journal Article
LanguageEnglish
Published Heidelberg SP Zhejiang University Press 01.06.2012
Subjects
Algorithms
Bridge piers
Bridges (structures)
Civil Engineering
Classical and Continuum Physics
Economics
Engineering
Genetic algorithms
Industrial Chemistry/Chemical Engineering
Mechanical Engineering
Piers
Reinforced concrete
Reinforcing steels
Searching
Structural design
Bridge piers
TU37
Concrete structures
Simulated annealing (SA)
Multi-objective optimization
TP391
Online AccessGet full text
ISSN1673-565X
1862-1775
DOI10.1631/jzus.A1100304

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Summary: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 algo- rithms （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.
Bibliography:Bridge piers, Concrete structures, Multi-objective optimization, Simulated annealing （SA）, Structural design
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 algo- rithms （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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ISSN:1673-565X
1862-1775
DOI:10.1631/jzus.A1100304