Optimization of steel web core sandwich panel with genetic algorithm
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/1822/79578 |
Resumo: | In civil engineering there is a need for lightweight structural elements, specifically in applications such as the rehabilitation of degraded floors in existing buildings and modular construction. Metaheuristic search procedures are suitable to tackle optimization problems concerning material efficiency, but their use in real design applications is still limited. This paper presents the preliminary design in terms of structural, thermal, and acoustic performance of a floor system based on steel web core sandwich panels with polyurethane (PUR) foam core and a new genetic algorithm (GA) procedure developed to optimize its mass. The optimization study also addresses the minimization of cost and environmental impact and includes a wide range of practical engineering requirements. The constraints stemming from the building codes are incorporated in a new adaptive penalty function whose formulation and performance are thoroughly investigated. Examples of how to formulate the optimization problem in terms of Eurocode verifications are provided to foster the use of optimization procedures in current design practice. The results are presented in terms of design variables and constraints search histories as well as optimal feasible and unfeasible solutions. General conclusions and specific recommendations are drawn based on the case study presented for the design of sandwich floor panels and steel web core sandwich panels, respectively. |
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Optimization of steel web core sandwich panel with genetic algorithmLightweightSandwich panelOptimizationGenetic algorithmPenalty functionEngenharia e Tecnologia::Engenharia CivilScience & TechnologyIndústria, inovação e infraestruturasCidades e comunidades sustentáveisProdução e consumo sustentáveisIn civil engineering there is a need for lightweight structural elements, specifically in applications such as the rehabilitation of degraded floors in existing buildings and modular construction. Metaheuristic search procedures are suitable to tackle optimization problems concerning material efficiency, but their use in real design applications is still limited. This paper presents the preliminary design in terms of structural, thermal, and acoustic performance of a floor system based on steel web core sandwich panels with polyurethane (PUR) foam core and a new genetic algorithm (GA) procedure developed to optimize its mass. The optimization study also addresses the minimization of cost and environmental impact and includes a wide range of practical engineering requirements. The constraints stemming from the building codes are incorporated in a new adaptive penalty function whose formulation and performance are thoroughly investigated. Examples of how to formulate the optimization problem in terms of Eurocode verifications are provided to foster the use of optimization procedures in current design practice. The results are presented in terms of design variables and constraints search histories as well as optimal feasible and unfeasible solutions. General conclusions and specific recommendations are drawn based on the case study presented for the design of sandwich floor panels and steel web core sandwich panels, respectively.This work was developed within the scope of the research project "Lightslab -Desenvolvimento de solucoes inovadoras de lajes de painel sandwich", supported by FEDER funds through the Operational Program for Operational Program for Competitiveness and Internationalization (POCI) and the Portuguese National Innovation Agency (ANI) -project no. 33865 [POCI-01-0247-FEDER-033865]. This work was partly financed by FCT/MCTES through national funds (PIDDAC) under the R&D Unit Institute for Sustainability and Innovation in Structural Engineering (ISISE), under reference UIDB/04029/2020. The first and third authors wish also to acknowledge the grants DFA/BD/8319/2020 and SFRH/BSAB/150266/2019 respectively, provided by Fundacao para a Ciencia e a Tecnologia, IP (FCT), financed by European Social Fund and national funds through the FCT/MCTES.ElsevierUniversidade do MinhoBenzo, Pier GiovanniPereira, João MiguelSena-Cruz, José2022-022022-02-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/1822/79578eng0141-02961873-732310.1016/j.engstruct.2021.113805113805https://www.sciencedirect.com/science/article/pii/S0141029621018769info:eu-repo/semantics/embargoedAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-03-02T01:18:20Zoai:repositorium.sdum.uminho.pt:1822/79578Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T18:58:39.392056Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Optimization of steel web core sandwich panel with genetic algorithm |
title |
Optimization of steel web core sandwich panel with genetic algorithm |
spellingShingle |
Optimization of steel web core sandwich panel with genetic algorithm Benzo, Pier Giovanni Lightweight Sandwich panel Optimization Genetic algorithm Penalty function Engenharia e Tecnologia::Engenharia Civil Science & Technology Indústria, inovação e infraestruturas Cidades e comunidades sustentáveis Produção e consumo sustentáveis |
title_short |
Optimization of steel web core sandwich panel with genetic algorithm |
title_full |
Optimization of steel web core sandwich panel with genetic algorithm |
title_fullStr |
Optimization of steel web core sandwich panel with genetic algorithm |
title_full_unstemmed |
Optimization of steel web core sandwich panel with genetic algorithm |
title_sort |
Optimization of steel web core sandwich panel with genetic algorithm |
author |
Benzo, Pier Giovanni |
author_facet |
Benzo, Pier Giovanni Pereira, João Miguel Sena-Cruz, José |
author_role |
author |
author2 |
Pereira, João Miguel Sena-Cruz, José |
author2_role |
author author |
dc.contributor.none.fl_str_mv |
Universidade do Minho |
dc.contributor.author.fl_str_mv |
Benzo, Pier Giovanni Pereira, João Miguel Sena-Cruz, José |
dc.subject.por.fl_str_mv |
Lightweight Sandwich panel Optimization Genetic algorithm Penalty function Engenharia e Tecnologia::Engenharia Civil Science & Technology Indústria, inovação e infraestruturas Cidades e comunidades sustentáveis Produção e consumo sustentáveis |
topic |
Lightweight Sandwich panel Optimization Genetic algorithm Penalty function Engenharia e Tecnologia::Engenharia Civil Science & Technology Indústria, inovação e infraestruturas Cidades e comunidades sustentáveis Produção e consumo sustentáveis |
description |
In civil engineering there is a need for lightweight structural elements, specifically in applications such as the rehabilitation of degraded floors in existing buildings and modular construction. Metaheuristic search procedures are suitable to tackle optimization problems concerning material efficiency, but their use in real design applications is still limited. This paper presents the preliminary design in terms of structural, thermal, and acoustic performance of a floor system based on steel web core sandwich panels with polyurethane (PUR) foam core and a new genetic algorithm (GA) procedure developed to optimize its mass. The optimization study also addresses the minimization of cost and environmental impact and includes a wide range of practical engineering requirements. The constraints stemming from the building codes are incorporated in a new adaptive penalty function whose formulation and performance are thoroughly investigated. Examples of how to formulate the optimization problem in terms of Eurocode verifications are provided to foster the use of optimization procedures in current design practice. The results are presented in terms of design variables and constraints search histories as well as optimal feasible and unfeasible solutions. General conclusions and specific recommendations are drawn based on the case study presented for the design of sandwich floor panels and steel web core sandwich panels, respectively. |
publishDate |
2022 |
dc.date.none.fl_str_mv |
2022-02 2022-02-01T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/1822/79578 |
url |
https://hdl.handle.net/1822/79578 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
0141-0296 1873-7323 10.1016/j.engstruct.2021.113805 113805 https://www.sciencedirect.com/science/article/pii/S0141029621018769 |
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info:eu-repo/semantics/embargoedAccess |
eu_rights_str_mv |
embargoedAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier |
publisher.none.fl_str_mv |
Elsevier |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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1799132376988647424 |