Optimización de peso para armaduras 3-D empleando PSO (particle swarm optimization) y MSPSO (multi-species particle swarm optimization)
| dc.contributor.advisor | Begambre Carrillo, Oscar Javier | |
| dc.contributor.advisor | Villalba Morales, Jesus Daniel | |
| dc.contributor.author | Rueda Monsalve, Rafael Andres | |
| dc.date.accessioned | 2024-03-03T23:16:07Z | |
| dc.date.available | 2017 | |
| dc.date.available | 2024-03-03T23:16:07Z | |
| dc.date.created | 2017 | |
| dc.date.issued | 2017 | |
| dc.description.abstract | Las estructuras metálicas son ampliamente empleadas en la infraestructura de comunicaciones y de energía en el país, estas van extendiendo su cobertura a lo largo del territorio nacional, debido a ventajas como facilidad en el transporte al sitio de construcción y rapidez de ensamble, por diversos métodos, ya sea soldadura, pernos o remaches. Además de explorar nuevas zonas o mejorar su capacidad, el diseño puede ser una tarea compleja y meticulosa, debido a su costo elevado y la gran cantidad de tiempo que se invierte, y finalmente, éste aumenta el uso de los recursos computacionales que se llegasen a utilizar. En esta investigación se emplean los algoritmos PSO (particle swarm optimization) [1], [6] y el multi-especie PSO - MSPSO [10] con el fin de optimizar el peso de armaduras 3-D, mediante un programa en el software Matlab®1 [12] se realizó el proceso de optimización, el cual incluye el análisis matricial de las estructuras cumpliendo con el método Allowable Stress Design. Se analizan dos armaduras de 25 y 72 elementos respectivamente. La validación del proceso de optimización se realiza con base en lo reportado en la literatura para establecer sus semejanzas o diferencias. El peso mínimo como el número de evaluaciones de la función objetivo obtenidos, para las dos estructuras estudiadas, disminuyeron con respecto a lo conseguido en otras investigaciones. | |
| dc.description.abstractenglish | The metallic structures are widely employed in the communicative infrastructure and energy in this country. These are spreading their coverture throughout national territory due to some advantages like transportation to the placement in construction and the velocity to build it up. By using different methods such as welding, bolts or rivets: Moreover, exploring new placements or improving its capacity, the design may be a complex work and carefully, due to its expensive cost and the quantity of time that would be invested, to finally, it can extend the use of the computational resources that can be spent. In this research, it was employed the particle swarm optimization (PSO) [1], [6] and the multi-species PSO - MSPSO algorithms [10] in order to optimize the weight of 3-D trusses. Throughout a program performed on the software Matlab® [12]. It was used the the optimization process, which includes the matrix analysis of structures by following the methodology of Allowable Stress Design. It was analyzed in Two Steel trusses of 25 and 72 elements respectively. The validation of the optimization process was made based on what has been reported in the literature. To assimilate their similarities and differences. The minimum weight and the number of evaluations of the objective function obtained, for the two structures studied, decreased with respect to what has been achieved in other investigations. | |
| dc.description.degreelevel | Pregrado | |
| dc.description.degreename | Ingeniero Civil | |
| dc.format.mimetype | application/pdf | |
| dc.identifier.instname | Universidad Industrial de Santander | |
| dc.identifier.reponame | Universidad Industrial de Santander | |
| dc.identifier.repourl | https://noesis.uis.edu.co | |
| dc.identifier.uri | https://noesis.uis.edu.co/handle/20.500.14071/35983 | |
| dc.language.iso | spa | |
| dc.publisher | Universidad Industrial de Santander | |
| dc.publisher.faculty | Facultad de Ingenierías Fisicomecánicas | |
| dc.publisher.program | Ingeniería Civil | |
| dc.publisher.school | Escuela de Ingeniería Civil | |
| dc.rights | http://creativecommons.org/licenses/by/4.0/ | |
| dc.rights.accessrights | info:eu-repo/semantics/openAccess | |
| dc.rights.creativecommons | Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0) | |
| dc.rights.license | Attribution-NonCommercial 4.0 International (CC BY-NC 4.0) | |
| dc.rights.uri | http://creativecommons.org/licenses/by-nc/4.0 | |
| dc.subject | Optimización | |
| dc.subject | Pso | |
| dc.subject | Mspso | |
| dc.subject | Armaduras 3-D | |
| dc.subject.keyword | Optimization | |
| dc.subject.keyword | Pso | |
| dc.subject.keyword | Mspso | |
| dc.subject.keyword | Armaduras 3-D | |
| dc.title | Optimización de peso para armaduras 3-D empleando PSO (particle swarm optimization) y MSPSO (multi-species particle swarm optimization) | |
| dc.title.english | Weigh optimization for 3-d armors by using pso (particle swarm optimization) and mspso (multi-species particle swarm optimization). | |
| dc.type.coar | http://purl.org/coar/version/c_b1a7d7d4d402bcce | |
| dc.type.hasversion | http://purl.org/coar/resource_type/c_7a1f | |
| dc.type.local | Tesis/Trabajo de grado - Monografía - Pregrado |
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