Multi-objective optimization for bridge and viaduct design: case study

Abstract: This article presents the application of the Multiple Objective Particle Swarm Optimization (MOPSO) method, enhanced with specifically tuned parameters using the Taguchi method, for optimizing bridge and viaduct designs. Unlike conventional approaches, the optimization in this study encomp...

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Main Authors: Eduardo Vicente Wolf Trentini, Guilherme Aris Parsekian, Túlio Nogueira Bittencourt
Format: Article
Language:English
Published: Instituto Brasileiro do Concreto (IBRACON) 2024-12-01
Series:Revista IBRACON de Estruturas e Materiais
Subjects:
Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952025000100204&lng=en&tlng=en
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author Eduardo Vicente Wolf Trentini
Guilherme Aris Parsekian
Túlio Nogueira Bittencourt
author_facet Eduardo Vicente Wolf Trentini
Guilherme Aris Parsekian
Túlio Nogueira Bittencourt
author_sort Eduardo Vicente Wolf Trentini
collection DOAJ
description Abstract: This article presents the application of the Multiple Objective Particle Swarm Optimization (MOPSO) method, enhanced with specifically tuned parameters using the Taguchi method, for optimizing bridge and viaduct designs. Unlike conventional approaches, the optimization in this study encompasses the entire structure rather than focusing solely on the deck. This approach is illustrated through case studies on two viaducts located in Atalaia and Mandaguaçu along the BR-376 highway in Paraná, Brazil. In Atalaia, the optimized solutions achieved reductions in construction costs by 10.5% to 22.7%, CO2 emissions by 8.9% to 21.2%, and extended the design service life by 24.0% to 540.7%. Similarly, in Mandaguaçu, the optimizations resulted in cost reductions ranging from 9.1% to 23.2%, decreases in CO2 emissions from 12.7% to 23.5%, and increases in the design service life by up to 540.7%. The study also revealed consistent patterns between the degrees of freedom and objective functions; specifically, larger cross-sectional dimensions tended to lower costs, while smaller dimensions were associated with reduced CO2 emissions. These findings illustrate the real-world performance improvements afforded by the optimization process, which not only reduces the global cost per year of service compared to the original designs but also enhances economic and environmental performance, thereby demonstrating the effectiveness of MOPSO in structural optimization for sustainable infrastructure development.
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publishDate 2024-12-01
publisher Instituto Brasileiro do Concreto (IBRACON)
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series Revista IBRACON de Estruturas e Materiais
spelling doaj-art-4d1fba3faca542cba18186d566b465e12024-12-03T07:48:05ZengInstituto Brasileiro do Concreto (IBRACON)Revista IBRACON de Estruturas e Materiais1983-41952024-12-0118110.1590/s1983-41952025000800004Multi-objective optimization for bridge and viaduct design: case studyEduardo Vicente Wolf Trentinihttps://orcid.org/0000-0001-8500-2723Guilherme Aris Parsekianhttps://orcid.org/0000-0002-5939-2032Túlio Nogueira Bittencourthttps://orcid.org/0000-0001-6523-2687Abstract: This article presents the application of the Multiple Objective Particle Swarm Optimization (MOPSO) method, enhanced with specifically tuned parameters using the Taguchi method, for optimizing bridge and viaduct designs. Unlike conventional approaches, the optimization in this study encompasses the entire structure rather than focusing solely on the deck. This approach is illustrated through case studies on two viaducts located in Atalaia and Mandaguaçu along the BR-376 highway in Paraná, Brazil. In Atalaia, the optimized solutions achieved reductions in construction costs by 10.5% to 22.7%, CO2 emissions by 8.9% to 21.2%, and extended the design service life by 24.0% to 540.7%. Similarly, in Mandaguaçu, the optimizations resulted in cost reductions ranging from 9.1% to 23.2%, decreases in CO2 emissions from 12.7% to 23.5%, and increases in the design service life by up to 540.7%. The study also revealed consistent patterns between the degrees of freedom and objective functions; specifically, larger cross-sectional dimensions tended to lower costs, while smaller dimensions were associated with reduced CO2 emissions. These findings illustrate the real-world performance improvements afforded by the optimization process, which not only reduces the global cost per year of service compared to the original designs but also enhances economic and environmental performance, thereby demonstrating the effectiveness of MOPSO in structural optimization for sustainable infrastructure development.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952025000100204&lng=en&tlng=enbridgeviaductmultiple objective particle swarm optimizationstructural optimizationsustainable infrastructure development
spellingShingle Eduardo Vicente Wolf Trentini
Guilherme Aris Parsekian
Túlio Nogueira Bittencourt
Multi-objective optimization for bridge and viaduct design: case study
Revista IBRACON de Estruturas e Materiais
bridge
viaduct
multiple objective particle swarm optimization
structural optimization
sustainable infrastructure development
title Multi-objective optimization for bridge and viaduct design: case study
title_full Multi-objective optimization for bridge and viaduct design: case study
title_fullStr Multi-objective optimization for bridge and viaduct design: case study
title_full_unstemmed Multi-objective optimization for bridge and viaduct design: case study
title_short Multi-objective optimization for bridge and viaduct design: case study
title_sort multi objective optimization for bridge and viaduct design case study
topic bridge
viaduct
multiple objective particle swarm optimization
structural optimization
sustainable infrastructure development
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952025000100204&lng=en&tlng=en
work_keys_str_mv AT eduardovicentewolftrentini multiobjectiveoptimizationforbridgeandviaductdesigncasestudy
AT guilhermearisparsekian multiobjectiveoptimizationforbridgeandviaductdesigncasestudy
AT tulionogueirabittencourt multiobjectiveoptimizationforbridgeandviaductdesigncasestudy