Plane trusses optimization by means of parametric design and genetic algorithms applying visual programming
Fuente:
Redalyc
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Artículo científico |
| Lenguaje: | en |
| Publicado: |
Universidad Nacional Autónoma de México
2019
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
| _version_ | 1876459181883523072 |
|---|---|
| author | Hugo Félix Begliardo-Olivero |
| author_facet | Hugo Félix Begliardo-Olivero |
| contents | Plane trusses optimization by means of parametric design and genetic algorithms applying visual programming Hugo Félix Begliardo-Olivero Matías Bonelli-Hernández Ingeniería plane trusses parametric design genetic algorithms visual programming Structural optimization The optimization of structures is a wished goal, but it is not always achieved in engineering practice, due to either the large additional effort that it demands or the lack of necessary resources to carry it out. Structural engineers usually use batch procedures, consisting of utilizing the software, in which data are input, running the analysis and evaluating the results, along which it is decided whether the design is accepted or modifications must be made, in which case the process is repeated again. The consequence of this is that the final result, normally, will always be improvable. For that reason, the field of optimization has usually been reserved to the academia. The new currents of structural engineering seek optimization by means of parametric design and evolutionary computing. As an additional contribution to the use of these resources, the objective of this work is to present an algorithm developed through visual programming for sizing, shape and topology optimization of plane trusses of the classic Howe, Pratt or Warren typologies, and to highlight the advantages that the use of this resource provides for the professional work of structural engineers, since it allows them to develop their own algorithms without the need of previous knowledge of programming, and to achieve economic and environmental benefits from saving materials. All this configures a clear transfer of the advances of computer technology to professional practice, extending the frontiers of the academic sphere. As an example of application, a truss analyzed by traditional methods, without optimizing, and the same truss optimized with the aforementioned algorithm, are compared. 2019 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40465053002 https://www.redalyc.org/journal/404/40465053002/ https://www.redalyc.org/journal/404/40465053002/html/ https://www.redalyc.org/journal/404/40465053002/40465053002.epub https://www.redalyc.org/journal/404/40465053002/movil 10.22201/fi.25940732e.2019.20n4.038 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.4 Vol.XX |
| format | Artículo científico |
| id | redalyc_40465053002 |
| institution | Redalyc |
| language | en |
| publishDate | 2019 |
| publisher | Universidad Nacional Autónoma de México |
| spellingShingle | Plane trusses optimization by means of parametric design and genetic algorithms applying visual programming Hugo Félix Begliardo-Olivero Ingeniería plane trusses parametric design genetic algorithms visual programming Structural optimization Plane trusses optimization by means of parametric design and genetic algorithms applying visual programming Hugo Félix Begliardo-Olivero Matías Bonelli-Hernández Ingeniería plane trusses parametric design genetic algorithms visual programming Structural optimization The optimization of structures is a wished goal, but it is not always achieved in engineering practice, due to either the large additional effort that it demands or the lack of necessary resources to carry it out. Structural engineers usually use batch procedures, consisting of utilizing the software, in which data are input, running the analysis and evaluating the results, along which it is decided whether the design is accepted or modifications must be made, in which case the process is repeated again. The consequence of this is that the final result, normally, will always be improvable. For that reason, the field of optimization has usually been reserved to the academia. The new currents of structural engineering seek optimization by means of parametric design and evolutionary computing. As an additional contribution to the use of these resources, the objective of this work is to present an algorithm developed through visual programming for sizing, shape and topology optimization of plane trusses of the classic Howe, Pratt or Warren typologies, and to highlight the advantages that the use of this resource provides for the professional work of structural engineers, since it allows them to develop their own algorithms without the need of previous knowledge of programming, and to achieve economic and environmental benefits from saving materials. All this configures a clear transfer of the advances of computer technology to professional practice, extending the frontiers of the academic sphere. As an example of application, a truss analyzed by traditional methods, without optimizing, and the same truss optimized with the aforementioned algorithm, are compared. 2019 artículo científico 1405-7743 https://www.redalyc.org/articulo.oa?id=40465053002 https://www.redalyc.org/journal/404/40465053002/ https://www.redalyc.org/journal/404/40465053002/html/ https://www.redalyc.org/journal/404/40465053002/40465053002.epub https://www.redalyc.org/journal/404/40465053002/movil 10.22201/fi.25940732e.2019.20n4.038 en http://www.redalyc.org/revista.oa?id=404 Ingeniería. Investigación y Tecnología application/pdf Universidad Nacional Autónoma de México Ingeniería. Investigación y Tecnología (México) Num.4 Vol.XX |
| title | Plane trusses optimization by means of parametric design and genetic algorithms applying visual programming |
| topic | Ingeniería plane trusses parametric design genetic algorithms visual programming Structural optimization |
| url | https://www.redalyc.org/articulo.oa?id=40465053002 https://www.redalyc.org/journal/404/40465053002/ https://www.redalyc.org/journal/404/40465053002/html/ https://www.redalyc.org/journal/404/40465053002/40465053002.epub https://www.redalyc.org/journal/404/40465053002/movil |