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dc.contributor.author | Yepes, V. | es_ES |
dc.contributor.author | Dasí-Gil, M. | es_ES |
dc.contributor.author | Martínez-Muñoz, D. | es_ES |
dc.contributor.author | López Desfilis, Vicente José | es_ES |
dc.contributor.author | Martí Albiñana, José Vicente | es_ES |
dc.date.accessioned | 2020-11-04T04:32:20Z | |
dc.date.available | 2020-11-04T04:32:20Z | |
dc.date.issued | 2019-08 | es_ES |
dc.identifier.uri | http://hdl.handle.net/10251/154030 | |
dc.description.abstract | [EN] The objective of this work was to apply heuristic optimization techniques to a steel-concrete composite pedestrian bridge, modeled like a beam on two supports. A program has been developed in Fortran programming language, capable of generating pedestrian bridges, checking them, and evaluating their cost. The following algorithms were implemented: descent local search (DLS), a hybrid simulated annealing with a mutation operator (SAMO2), and a glow-worms swarm optimization (GSO) in two variants. The first one only considers the GSO and the second combines GSO and DLS, applying the DSL heuristic to the best solutions obtained by the GSO. The results were compared according to the lowest cost. The GSO and DLS algorithms combined obtained the best results in terms of cost. Furthermore, a comparison between the CO2 emissions associated with the amount of materials obtained by every heuristic technique and the original design solution were studied. Finally, a parametric study was carried out according to the span length of the pedestrian bridge. | es_ES |
dc.description.sponsorship | The authors acknowledge the financial support of the Spanish Ministry of Economy and Business, along with FEDER funding (DIMALIFE Project: BIA2017-85098-R). | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | MDPI AG | es_ES |
dc.relation.ispartof | Applied Sciences | es_ES |
dc.rights | Reconocimiento (by) | es_ES |
dc.subject | Pedestrian bridge | es_ES |
dc.subject | Composite structures | es_ES |
dc.subject | Optimization | es_ES |
dc.subject | Metaheuristics | es_ES |
dc.subject | Structural design | es_ES |
dc.subject.classification | MECANICA DE LOS MEDIOS CONTINUOS Y TEORIA DE ESTRUCTURAS | es_ES |
dc.subject.classification | INGENIERIA DE LA CONSTRUCCION | es_ES |
dc.title | Heuristic Techniques for the Design of Steel-Concrete Composite Pedestrian Bridges | es_ES |
dc.type | Artículo | es_ES |
dc.identifier.doi | 10.3390/app9163253 | es_ES |
dc.relation.projectID | info:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2013-2016/BIA2017-85098-R/ES/DISEÑO Y MANTENIMIENTO OPTIMO ROBUSTO Y BASADO EN FIABILIDAD DE PUENTES E INFRAESTRUCTURAS VIARIAS DE ALTA EFICIENCIA SOCIAL Y MEDIOAMBIENTAL BAJO PRESUPUESTOS RESTRICTIVOS/ | es_ES |
dc.rights.accessRights | Abierto | es_ES |
dc.contributor.affiliation | 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 | es_ES |
dc.contributor.affiliation | Universitat Politècnica de València. Departamento de Mecánica de los Medios Continuos y Teoría de Estructuras - Departament de Mecànica dels Medis Continus i Teoria d'Estructures | es_ES |
dc.description.bibliographicCitation | Yepes, V.; Dasí-Gil, M.; Martínez-Muñoz, D.; López Desfilis, VJ.; Martí Albiñana, JV. (2019). Heuristic Techniques for the Design of Steel-Concrete Composite Pedestrian Bridges. Applied Sciences. 9(16):1-18. https://doi.org/10.3390/app9163253 | es_ES |
dc.description.accrualMethod | S | es_ES |
dc.relation.publisherversion | https://doi.org/10.3390/app9163253 | es_ES |
dc.description.upvformatpinicio | 1 | es_ES |
dc.description.upvformatpfin | 18 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 9 | es_ES |
dc.description.issue | 16 | es_ES |
dc.identifier.eissn | 2076-3417 | es_ES |
dc.relation.pasarela | S\392524 | es_ES |
dc.contributor.funder | Agencia Estatal de Investigación | es_ES |
dc.description.references | Liu, S., Tao, R., & Tam, C. M. (2013). Optimizing cost and CO2 emission for construction projects using particle swarm optimization. Habitat International, 37, 155-162. doi:10.1016/j.habitatint.2011.12.012 | es_ES |
dc.description.references | Sarma, K. C., & Adeli, H. (1998). Cost Optimization of Concrete Structures. Journal of Structural Engineering, 124(5), 570-578. doi:10.1061/(asce)0733-9445(1998)124:5(570) | es_ES |
dc.description.references | Adeli, H., & Kim, H. (2001). Cost optimization of composite floors using neural dynamics model. Communications in Numerical Methods in Engineering, 17(11), 771-787. doi:10.1002/cnm.448 | es_ES |
dc.description.references | Kravanja, S., & Šilih, S. (2003). Optimization based comparison between composite I beams and composite trusses. Journal of Constructional Steel Research, 59(5), 609-625. doi:10.1016/s0143-974x(02)00045-7 | es_ES |
dc.description.references | Senouci, A. B., & Al-Ansari, M. S. (2009). Cost optimization of composite beams using genetic algorithms. Advances in Engineering Software, 40(11), 1112-1118. doi:10.1016/j.advengsoft.2009.06.001 | es_ES |
dc.description.references | Kaveh, A., & Shakouri Mahmud Abadi, A. (2010). Cost optimization of a composite floor system using an improved harmony search algorithm. Journal of Constructional Steel Research, 66(5), 664-669. doi:10.1016/j.jcsr.2010.01.009 | es_ES |
dc.description.references | Ramires, F. B., Andrade, S. A. L. de, Vellasco, P. C. G. da S., & Lima, L. R. O. de. (2012). Genetic algorithm optimization of composite and steel endplate semi-rigid joints. Engineering Structures, 45, 177-191. doi:10.1016/j.engstruct.2012.05.051 | es_ES |
dc.description.references | Martí, J. V., Gonzalez-Vidosa, F., Yepes, V., & Alcalá, J. (2013). Design of prestressed concrete precast road bridges with hybrid simulated annealing. Engineering Structures, 48, 342-352. doi:10.1016/j.engstruct.2012.09.014 | es_ES |
dc.description.references | García-Segura, T., & Yepes, V. (2016). Multiobjective optimization of post-tensioned concrete box-girder road bridges considering cost, CO2 emissions, and safety. Engineering Structures, 125, 325-336. doi:10.1016/j.engstruct.2016.07.012 | es_ES |
dc.description.references | García-Segura, T., Yepes, V., & Frangopol, D. M. (2017). Multi-objective design of post-tensioned concrete road bridges using artificial neural networks. Structural and Multidisciplinary Optimization, 56(1), 139-150. doi:10.1007/s00158-017-1653-0 | es_ES |
dc.description.references | Soke, A., & Bingul, Z. (2006). Hybrid genetic algorithm and simulated annealing for two-dimensional non-guillotine rectangular packing problems. Engineering Applications of Artificial Intelligence, 19(5), 557-567. doi:10.1016/j.engappai.2005.12.003 | es_ES |
dc.description.references | Penadés-Plà, V., García-Segura, T., & Yepes, V. (2019). Accelerated optimization method for low-embodied energy concrete box-girder bridge design. Engineering Structures, 179, 556-565. doi:10.1016/j.engstruct.2018.11.015 | es_ES |
dc.description.references | Yepes, V., García-Segura, T., & Moreno-Jiménez, J. M. (2015). A cognitive approach for the multi-objective optimization of RC structural problems. Archives of Civil and Mechanical Engineering, 15(4), 1024-1036. doi:10.1016/j.acme.2015.05.001 | es_ES |
dc.description.references | Martí, J. V., García-Segura, T., & Yepes, V. (2016). Structural design of precast-prestressed concrete U-beam road bridges based on embodied energy. Journal of Cleaner Production, 120, 231-240. doi:10.1016/j.jclepro.2016.02.024 | es_ES |
dc.description.references | García-Segura, T., Yepes, V., Frangopol, D. M., & Yang, D. Y. (2017). Lifetime reliability-based optimization of post-tensioned box-girder bridges. Engineering Structures, 145, 381-391. doi:10.1016/j.engstruct.2017.05.013 | es_ES |
dc.description.references | Penadés-Plà, V., García-Segura, T., Martí, J., & Yepes, V. (2016). A Review of Multi-Criteria Decision-Making Methods Applied to the Sustainable Bridge Design. Sustainability, 8(12), 1295. doi:10.3390/su8121295 | es_ES |
dc.description.references | BEDEC ITEC Materials Database https://metabase.itec.cat/vide/es/bedec | es_ES |
dc.description.references | Yepes, V., Martí, J. V., & García-Segura, T. (2015). Cost and CO2 emission optimization of precast–prestressed concrete U-beam road bridges by a hybrid glowworm swarm algorithm. Automation in Construction, 49, 123-134. doi:10.1016/j.autcon.2014.10.013 | es_ES |
dc.description.references | Molina-Moreno, F., Martí, J. V., & Yepes, V. (2017). Carbon embodied optimization for buttressed earth-retaining walls: Implications for low-carbon conceptual designs. Journal of Cleaner Production, 164, 872-884. doi:10.1016/j.jclepro.2017.06.246 | es_ES |
dc.description.references | Kirkpatrick, S., Gelatt, C. D., & Vecchi, M. P. (1983). Optimization by Simulated Annealing. Science, 220(4598), 671-680. doi:10.1126/science.220.4598.671 | es_ES |
dc.description.references | Medina, J. R. (2001). Estimation of Incident and Reflected Waves Using Simulated Annealing. Journal of Waterway, Port, Coastal, and Ocean Engineering, 127(4), 213-221. doi:10.1061/(asce)0733-950x(2001)127:4(213) | es_ES |
dc.description.references | Krishnanand, K. N., & Ghose, D. (2009). Glowworm swarm optimisation: a new method for optimising multi-modal functions. International Journal of Computational Intelligence Studies, 1(1), 93. doi:10.1504/ijcistudies.2009.025340 | es_ES |