Martínez Martín, FJ.; González Vidosa, F.; Hospitaler Pérez, A.; Yepes Piqueras, V. (2012). Multi-objective optimization design of bridge piers with hybrid heuristic algorithms. Journal of Zhejiang University Science A. 13(6):420-432. https://doi.org/10.1631/jzus.A1100304
Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/48931
Title:
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Multi-objective optimization design of bridge piers with hybrid heuristic algorithms
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Author:
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Martínez Martín, Francisco Joaquín
González Vidosa, Fernando
Hospitaler Pérez, Antonio
Yepes Piqueras, Víctor
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UPV Unit:
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Universitat Politècnica de València. Departamento de Ingeniería del Terreno - Departament d'Enginyeria del Terreny
Universitat Politècnica de València. Departamento de Ingeniería de la Construcción y de Proyectos de Ingeniería Civil - Departament d'Enginyeria de la Construcció i de Projectes d'Enginyeria Civil
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Issued date:
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Abstract:
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This paper describes one approach to the design of reinforced concrete (RC) bridge piers, using a three-hybrid multiobjective simulated annealing (SA) algorithm with a neighborhood move based on the mutation operator from ...[+]
This paper describes one approach to the design of reinforced concrete (RC) bridge piers, using a three-hybrid multiobjective 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. © Zhejiang University and Springer-Verlag Berlin Heidelberg 2012.
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Subjects:
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Bridge piers
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Concrete structures
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Multi-objective optimization
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Simulated annealing (SA)
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Structural design
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CO2 emissions
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Design variables
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Economic costs
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Hybrid heuristic algorithms
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Local search
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Multi objective
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Multi objective algorithm
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Multi objective optimizations (MOO)
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Mutation operators
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Objective functions
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Pareto front
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Random Walk
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Reinforcing steels
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Simulated annealing algorithms
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Structural concretes
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Structural engineer
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Carbon dioxide
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Concrete construction
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Heuristic algorithms
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Multiobjective optimization
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Reinforced concrete
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Simulated annealing
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Copyrigths:
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Cerrado |
Source:
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Journal of Zhejiang University Science A. (issn:
1673-565X
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DOI:
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10.1631/jzus.A1100304
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Publisher:
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Springer Verlag (Germany)
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Publisher version:
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http://dx.doi.org/10.1631/jzus.A1100304
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Project ID:
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info:eu-repo/grantAgreement/MICINN//BIA2011-23602/ES/DISEÑO EFICIENTE DE ESTRUCTURAS CON HORMIGONES NO CONVENCIONALES BASADOS EN CRITERIOS SOSTENIBLES MULTIOBJETIVO MEDIANTE EL EMPLEO DE TECNICAS DE MINERIA DE DATOS/
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Thanks:
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Project supported by the Spanish Ministry of Science and Innovation (No. BIA2011-23602), and the European Community with the European Regional Development Fund (FEDER), Spain
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Type:
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Artículo
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