Optimization of steel web core sandwich panel with genetic algorithm

Detalhes bibliográficos
Autor(a) principal: Benzo, Pier Giovanni
Data de Publicação: 2022
Outros Autores: Pereira, João Miguel, Sena-Cruz, José
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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spelling 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
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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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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)
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instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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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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