Multiobjective topology optimization of planar trusses using stress trajectories and metaheuristic algorithms

Fuente: Redalyc
Enregistré dans:
Détails bibliographiques
Auteur principal: Luis Humberto Niño-Álvarez
Format: Artículo científico
Langue:en
Publié: Universidad de Antioquia 2023
Sujets:
Accès en ligne:
Tags: Ajouter un tag
Pas de tags, Soyez le premier à ajouter un tag!
_version_ 1876445321222946816
author Luis Humberto Niño-Álvarez
author_facet Luis Humberto Niño-Álvarez
contents Multiobjective topology optimization of planar trusses using stress trajectories and metaheuristic algorithms Luis Humberto Niño-Álvarez Oscar Javier Begambre-Carrillo Ingeniería Multi objective large scale truss stress trajectories topology optimization In civil engineering, structural optimization seeks an efficient use of material resources and the automatization of the design process of a wide range of structures such as frames, bridges, and other systems. This work develops a novel multiobjective topology optimization process to minimize planar trusses' weight and strain energy. In the initial stage, an optimized discrete geometry of the ground structure is generated from a continuum design space with general boundary conditions (loads and supports) using the stress trajectories theory. In the final stage, size optimization is performed using the concept of Envelope Pareto Front (EVP), which is obtained from the best solutions provided by three efficient multiobjective metaheuristic algorithms (NSGA-II, MOPSO and AMOSA). The results obtained on a large-scale truss (200 m span continuous bridge) showed that innovative geometries could be found (new connectivity patterns). The generation of an EVP allows getting a more significant number of non-dominated solutions, exploring a broader region of the Pareto front and the two objective functions, achieving greater convergence and diversity than the algorithms' individual performance. The computation cost of the optimization strategy was satisfactory, which allows its potential implementation in actual large-scale trusses, discovering optimized, innovative solutions for this type of structures. 2023 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43075471002 https://www.redalyc.org/journal/430/43075471002/ https://www.redalyc.org/journal/430/43075471002/html/ https://www.redalyc.org/journal/430/43075471002/43075471002.epub https://www.redalyc.org/journal/430/43075471002/movil https://doi.org/10.17533/udea.redin.20220576 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.107
format Artículo científico
id redalyc_43075471002
institution Redalyc
language en
publishDate 2023
publisher Universidad de Antioquia
spellingShingle Multiobjective topology optimization of planar trusses using stress trajectories and metaheuristic algorithms
Luis Humberto Niño-Álvarez
Ingeniería
Multi
objective
large scale truss
stress trajectories
topology optimization
Multiobjective topology optimization of planar trusses using stress trajectories and metaheuristic algorithms Luis Humberto Niño-Álvarez Oscar Javier Begambre-Carrillo Ingeniería Multi objective large scale truss stress trajectories topology optimization In civil engineering, structural optimization seeks an efficient use of material resources and the automatization of the design process of a wide range of structures such as frames, bridges, and other systems. This work develops a novel multiobjective topology optimization process to minimize planar trusses' weight and strain energy. In the initial stage, an optimized discrete geometry of the ground structure is generated from a continuum design space with general boundary conditions (loads and supports) using the stress trajectories theory. In the final stage, size optimization is performed using the concept of Envelope Pareto Front (EVP), which is obtained from the best solutions provided by three efficient multiobjective metaheuristic algorithms (NSGA-II, MOPSO and AMOSA). The results obtained on a large-scale truss (200 m span continuous bridge) showed that innovative geometries could be found (new connectivity patterns). The generation of an EVP allows getting a more significant number of non-dominated solutions, exploring a broader region of the Pareto front and the two objective functions, achieving greater convergence and diversity than the algorithms' individual performance. The computation cost of the optimization strategy was satisfactory, which allows its potential implementation in actual large-scale trusses, discovering optimized, innovative solutions for this type of structures. 2023 artículo científico 0120-6230 https://www.redalyc.org/articulo.oa?id=43075471002 https://www.redalyc.org/journal/430/43075471002/ https://www.redalyc.org/journal/430/43075471002/html/ https://www.redalyc.org/journal/430/43075471002/43075471002.epub https://www.redalyc.org/journal/430/43075471002/movil https://doi.org/10.17533/udea.redin.20220576 en http://www.redalyc.org/revista.oa?id=430 Revista Facultad de Ingeniería Universidad de Antioquia application/pdf Universidad de Antioquia Revista Facultad de Ingeniería Universidad de Antioquia (Colombia) Num.107
title Multiobjective topology optimization of planar trusses using stress trajectories and metaheuristic algorithms
topic Ingeniería
Multi
objective
large scale truss
stress trajectories
topology optimization
url https://www.redalyc.org/articulo.oa?id=43075471002
https://www.redalyc.org/journal/430/43075471002/
https://www.redalyc.org/journal/430/43075471002/html/
https://www.redalyc.org/journal/430/43075471002/43075471002.epub
https://www.redalyc.org/journal/430/43075471002/movil
https://doi.org/10.17533/udea.redin.20220576