Computer software for analysis and design optimization of power transmission structures by simulated annealing and sensitivity analysis
| UDC.coleccion | Investigación | es_ES |
| UDC.departamento | Matemáticas | es_ES |
| UDC.endPage | 3663 | es_ES |
| UDC.grupoInv | Grupo de Métodos Numéricos en Enxeñaría (GMNI) | es_ES |
| UDC.journalTitle | Engineering with Computers | es_ES |
| UDC.startPage | 3649 | es_ES |
| UDC.volume | 37 | es_ES |
| dc.contributor.author | Couceiro, Iván | |
| dc.contributor.author | París, José | |
| dc.contributor.author | Navarrina, Fermín | |
| dc.contributor.author | Colominas, Ignasi | |
| dc.contributor.author | Martínez Varela, Santiago | |
| dc.contributor.other | Grupos de investigación-Grupo de Métodos Numéricos na Enxeñería | es_ES |
| dc.date.accessioned | 2024-01-29T16:56:56Z | |
| dc.date.available | 2024-01-29T16:56:56Z | |
| dc.date.issued | 2021 | |
| dc.description | Versión aceptada de https://doi.org/10.1007/s00366-020-01022-x | es_ES |
| dc.description.abstract | [Abstract:] This paper presents a computer software for the optimization of power transmission structures. The software employs a modified version of the Simulated Annealing algorithm that has been proven effective in large engineering problems. The target structures are three-dimensional steel trusses to be used as supporting towers of electrical lines. A mixed formulation merging continuous and discrete design variables is proposed for optimizing the size and shape of the trusses, including a first-order sensitivity analysis that reduces the computational cost. The implementation can be adapted to any kind of transmission tower and allows to quickly create a model to be analyzed and optimized in a few sequential steps. Despite its simplicity of use, the tools provided by the proposed framework allow to perform a full analysis of the design and provide an entire comprehension of its structural behavior. The software also includes a post-process and visualization tool set in a user-friendly graphical interface. | es_ES |
| dc.description.sponsorship | Xunta de Galicia; GRC2014/039 | es_ES |
| dc.description.sponsorship | This work has been partially supported by the Ministerio de Ciencia e Innovación (Grant #DPI2012-33622) of the Spanish Government, by the Consellería de Cultura, Educación e Ordenación Universitaria of the Xunta de Galicia (Grant #GRC2014/039) and by research fellowships of the Universidade da Coruña and the Fundación de la Ingeniería Civil de Galicia and has been cofinanced by FEDER funds. | es_ES |
| dc.identifier.citation | Couceiro, I., París, J., Martínez, S. et al. Computer software for analysis and design optimization of power transmission structures by simulated annealing and sensitivity analysis. Engineering with Computers 37, 3649–3663 (2021). https://doi.org/10.1007/s00366-020-01022-x | es_ES |
| dc.identifier.doi | 10.1007/s00366-020-01022-x | |
| dc.identifier.uri | http://hdl.handle.net/2183/35197 | |
| dc.language.iso | eng | es_ES |
| dc.publisher | Springer | es_ES |
| dc.relation.projectID | info:eu-repo/grantAgreement/MINECO/Plan Nacional de I+D+i 2008-2011/DPI2012-33622/ES/TECNOLOGIAS AVANZADAS DE OPTIMIZACION EN INGENIERIA: APLICACION AL TRANSPORTE Y GENERACION DE ENERGIA | es_ES |
| dc.relation.uri | https://doi.org/10.1007/s00366-020-01022-x | es_ES |
| dc.rights | © Springer-Verlag London Ltd., part of Springer Nature 2020 | es_ES |
| dc.rights.accessRights | open access | es_ES |
| dc.subject | Structural optimization | es_ES |
| dc.subject | Optimization software | es_ES |
| dc.subject | Transmission towers | es_ES |
| dc.title | Computer software for analysis and design optimization of power transmission structures by simulated annealing and sensitivity analysis | es_ES |
| dc.type | journal article | es_ES |
| dspace.entity.type | Publication | |
| relation.isAuthorOfPublication | 3b78b4c5-bf97-48d2-bbc2-bf728673e2f0 | |
| relation.isAuthorOfPublication | c36ce5d5-c9b2-4163-bf24-cc5eb9236470 | |
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| relation.isAuthorOfPublication | 338d0b0b-e58e-490d-aa25-bb0910154513 | |
| relation.isAuthorOfPublication.latestForDiscovery | 3b78b4c5-bf97-48d2-bbc2-bf728673e2f0 |
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