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CLC number: TU37; TP391

On-line Access: 2012-06-04

Received: 2011-11-09

Revision Accepted: 2012-02-23

Crosschecked: 2012-05-15

Cited: 8

Clicked: 3575

Citations:  Bibtex RefMan EndNote GB/T7714

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Journal of Zhejiang University SCIENCE A 2012 Vol.13 No.6 P.420-432

http://doi.org/10.1631/jzus.A1100304


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


Author(s):  Francisco J. Martinez-Martin, Fernando Gonzalez-Vidosa, Antonio Hospitaler, Víctor Yepes

Affiliation(s):  Department of Geotechnical Engineering, Universitat Politècnica de València, 46022 Valencia, Spain; more

Corresponding email(s):   vyepesp@upv.es

Key Words:  Bridge piers, Concrete structures, Multi-objective optimization, Simulated annealing (SA), Structural design


Francisco J. Martinez-Martin, Fernando Gonzalez-Vidosa, Antonio Hospitaler, Víctor Yepes. Multi-objective optimization design of bridge piers with hybrid heuristic algorithms[J]. Journal of Zhejiang University Science A, 2012, 13(6): 420-432.

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author="Francisco J. Martinez-Martin, Fernando Gonzalez-Vidosa, Antonio Hospitaler, Víctor Yepes",
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%A Antonio Hospitaler
%A Víctor Yepes
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T1 - Multi-objective optimization design of bridge piers with hybrid heuristic algorithms
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PB - Zhejiang University Press & Springer
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DOI - 10.1631/jzus.A1100304


Abstract: 
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.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article

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