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Design optimization of precast-prestressed concrete road bridges with steel fiber-reinforcement by a hybrid evolutionary algorithm

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Design optimization of precast-prestressed concrete road bridges with steel fiber-reinforcement by a hybrid evolutionary algorithm

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dc.contributor.author Yepes, V. es_ES
dc.contributor.author Martí Albiñana, José Vicente es_ES
dc.contributor.author García-Segura, Tatiana es_ES
dc.date.accessioned 2017-02-07T11:43:23Z
dc.date.available 2017-02-07T11:43:23Z
dc.date.issued 2017
dc.identifier.issn 2046-0546
dc.identifier.uri http://hdl.handle.net/10251/77694
dc.description.abstract [EN] In this paper, the influence of steel fiber-reinforcement when designing precast-prestressed concrete (PPC) road bridges with a double U-shape cross-section is studied through heuristic optimization. A hybrid evolutionary algorithm (EA) combining a genetic algorithm (GA) with variable-depth neighborhood search (VDNS) is formulated to minimize the economic cost and CO2 emissions, while imposing constraints on all the relevant limit states. The case study proposed is a 30-m span-length with a deck width of 12 m. The problem involved 41 discrete design variables. The algorithm requires the initial calibration. Moreover, the heuristic is run nine times so as to obtain statistical information about the minimum, average and deviation of the results. The evolution of the objective function during the optimization procedure is highlighted. Findings show that heuristic optimization is a forthcoming option for the design of real-life prestressed structures. This paper provides useful knowledge that could offer a better understanding of the steel fiber-reinforcement in U-beam road bridges. es_ES
dc.description.sponsorship The authors acknowledge the financial support of the Spanish Ministry of Economy and Competitiveness, along with FEDER funding (BRIDLIFE Project: BIA2014-56574-R) and the Research and Development Support Program of Polytechnic University of Valencia (PAID-02-15).
dc.language Inglés es_ES
dc.publisher WIT Press es_ES
dc.relation info:eu-repo/grantAgreement/MINECO//BIA2014-56574-R/ES/TOMA DE DECISIONES EN LA GESTION DEL CICLO DE VIDA DE PUENTES PRETENSADOS DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS/ es_ES
dc.relation UPV/PAID-02-15 es_ES
dc.relation.ispartof International Journal of Computational Methods and Experimental Measurements es_ES
dc.rights Reserva de todos los derechos es_ES
dc.subject Hybrid evolutionary algorithm es_ES
dc.subject Precast-prestressed concrete es_ES
dc.subject Steel fiber-reinforcement es_ES
dc.subject U-shape cross-section es_ES
dc.subject.classification INGENIERIA DE LA CONSTRUCCION es_ES
dc.title Design optimization of precast-prestressed concrete road bridges with steel fiber-reinforcement by a hybrid evolutionary algorithm es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.2495/CMEM-V5-N2-179-189
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Escuela Técnica Superior de Ingenieros de Caminos, Canales y Puertos - Escola Tècnica Superior d'Enginyers de Camins, Canals i Ports es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Ciencia y Tecnología del Hormigón - Institut de Ciència i Tecnologia del Formigó es_ES
dc.description.bibliographicCitation Yepes, V.; Martí Albiñana, JV.; García-Segura, T. (2017). Design optimization of precast-prestressed concrete road bridges with steel fiber-reinforcement by a hybrid evolutionary algorithm. International Journal of Computational Methods and Experimental Measurements. 5(2):179-189. https://doi.org/10.2495/CMEM-V5-N2-179-189 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://www.witpress.com/elibrary/cmem-volumes/5/2/1618 es_ES
dc.description.upvformatpinicio 179 es_ES
dc.description.upvformatpfin 189 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 5 es_ES
dc.description.issue 2 es_ES
dc.relation.senia 321299 es_ES
dc.contributor.funder Ministerio de Economía y Competitividad
dc.contributor.funder Universitat Politècnica de València


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