Development of topology optimization methodologies for a modular simulation platform

Detalhes bibliográficos
Autor(a) principal: Gonçalves, Mafalda Pereira
Data de Publicação: 2020
Tipo de documento: Dissertação
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10773/31314
Resumo: Structural optimization has gained popularity since its first studies in the late 19th century. Over the years, due to the improvement of technology, several works have been focused on its computational implementation. Among the most popular applications, topology optimization deals with the non-homogeneous material distribution in a structure in order to optimize a given structural objective. A compliance approach is usually carried out to evaluate a topology optimization problem. Moreover, it is also considered the Optimality Criterion and SIMP as the optimization method and the material interpolation scheme, respectively. In this work, several topology optimization problems are carried out and evaluated, from a multi-objective approach, where thermal and mechanical analyses are simultaneously considered, to thermoelastic phenomena. These problems are recognized for incorporating loads that depend on the solution (in this case, thermal loads). Also known as design-dependent loads, they depend on the material layout inside the structure and their magnitude has a direct impact on the optimization process. Therefore, in the resultant topologies, the instabilities associated with this type of loading become evident. The main focus of this work consists in introducing alternative ways to prevent these issues and deal with the problems’ instability. Therefore, an alternative procedure is proposed to control the problems that arise from the mentioned analysis. An adaptation of the Evolutionary Structural Optimization (ESO) method, also known as Bi-directional ESO, is implemented and the obtained results are compared with the conventional ones. The development of a computational tool consists in an additional outcome of this work and, therefore, the mentioned methodologies are implemented considering a numerical simulation software, based on the Finite Element Method (FEM), as background. Besides the FEM analysis, the computational tool becomes capable of solving different types of topology optimization problems
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spelling Development of topology optimization methodologies for a modular simulation platformTopology optimizationDesign-dependent loadsThermoelasticitySoftware developmentMATLABStructural optimization has gained popularity since its first studies in the late 19th century. Over the years, due to the improvement of technology, several works have been focused on its computational implementation. Among the most popular applications, topology optimization deals with the non-homogeneous material distribution in a structure in order to optimize a given structural objective. A compliance approach is usually carried out to evaluate a topology optimization problem. Moreover, it is also considered the Optimality Criterion and SIMP as the optimization method and the material interpolation scheme, respectively. In this work, several topology optimization problems are carried out and evaluated, from a multi-objective approach, where thermal and mechanical analyses are simultaneously considered, to thermoelastic phenomena. These problems are recognized for incorporating loads that depend on the solution (in this case, thermal loads). Also known as design-dependent loads, they depend on the material layout inside the structure and their magnitude has a direct impact on the optimization process. Therefore, in the resultant topologies, the instabilities associated with this type of loading become evident. The main focus of this work consists in introducing alternative ways to prevent these issues and deal with the problems’ instability. Therefore, an alternative procedure is proposed to control the problems that arise from the mentioned analysis. An adaptation of the Evolutionary Structural Optimization (ESO) method, also known as Bi-directional ESO, is implemented and the obtained results are compared with the conventional ones. The development of a computational tool consists in an additional outcome of this work and, therefore, the mentioned methodologies are implemented considering a numerical simulation software, based on the Finite Element Method (FEM), as background. Besides the FEM analysis, the computational tool becomes capable of solving different types of topology optimization problemsA otimização estrutural tem vindo a ganhar popularidade ao longo dos anos e, com o desenvolvimento da tecnologia, tem-se apostado na sua implementação computacional. Uma das áreas de maior desenvolvimento é a otimização topológica. Esta lida com a distribuição não homógenea de material numa estrutura de modo a otimizar um determinado objetivo estrutural. Tendo por base o método mais convencional, a minimização da compliance de uma estrutura é definida como objetivo de um problema de otimização topológica. Para além disso, o Critério do Ótimo, como método de otimização, e o SIMP, como esquema de interpolação do material, são implementados de modo a avaliar o algoritmo. Neste trabalho, várias abordagens são avaliadas de modo a estudar a aplicação da otimização topológica a problemas muti-física. Uma abordagem multi-objectivo onde as análises térmica e mecânica são simultaneamente ponderadas é estudada, assim como a influência de fenómenos de termoelasticidade. Estes fenómenos são reconhecidos por incorporarem carregamentos que dependem da solução, neste caso, os carregamentos térmicos. Estes são dependentes da distribuição do material na estrutura e a sua magnitude influencia em grande escala o processo de otimização. Nas topologias resultantes, instabilidades associadas a este tipo de carregamentos são notórias e dificilmente contornáveis devido às caraterísticas intrínsecas do processo de otimização escolhido. No presente trabalho são avaliados os resultados obtidos através dos algoritmos convencionais de otimização topológica. Para além disso, é proposta uma abordagem alternativa de modo a controlar as instabilidades que surgem nas análises referidas e a estabilizar o problema. Uma adapatção do método de otimização estrutural evolucionária (ESO - Evolutionary Structural Optimization), conhecida como BESO, é implementada e os resultados obtidos são comparados com os anteriores. Por fim, um dos resultados deste trabalho consiste no desenvolvi mento de uma ferramenta computacional com capacidade para solucionar as abordagens mencionadas. Em conjunto com a análise numérica, baseada no Método dos Elementos Finitos, as metodologias de otimização topológica são implementadas e adicionadas a um software que foi atualizado ao longo deste trabalho2021-05-05T13:22:20Z2020-07-27T00:00:00Z2020-07-27info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttp://hdl.handle.net/10773/31314engGonçalves, Mafalda Pereirainfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2024-02-22T12:00:26Zoai:ria.ua.pt:10773/31314Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T03:03:13.273809Repositório 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 Development of topology optimization methodologies for a modular simulation platform
title Development of topology optimization methodologies for a modular simulation platform
spellingShingle Development of topology optimization methodologies for a modular simulation platform
Gonçalves, Mafalda Pereira
Topology optimization
Design-dependent loads
Thermoelasticity
Software development
MATLAB
title_short Development of topology optimization methodologies for a modular simulation platform
title_full Development of topology optimization methodologies for a modular simulation platform
title_fullStr Development of topology optimization methodologies for a modular simulation platform
title_full_unstemmed Development of topology optimization methodologies for a modular simulation platform
title_sort Development of topology optimization methodologies for a modular simulation platform
author Gonçalves, Mafalda Pereira
author_facet Gonçalves, Mafalda Pereira
author_role author
dc.contributor.author.fl_str_mv Gonçalves, Mafalda Pereira
dc.subject.por.fl_str_mv Topology optimization
Design-dependent loads
Thermoelasticity
Software development
MATLAB
topic Topology optimization
Design-dependent loads
Thermoelasticity
Software development
MATLAB
description Structural optimization has gained popularity since its first studies in the late 19th century. Over the years, due to the improvement of technology, several works have been focused on its computational implementation. Among the most popular applications, topology optimization deals with the non-homogeneous material distribution in a structure in order to optimize a given structural objective. A compliance approach is usually carried out to evaluate a topology optimization problem. Moreover, it is also considered the Optimality Criterion and SIMP as the optimization method and the material interpolation scheme, respectively. In this work, several topology optimization problems are carried out and evaluated, from a multi-objective approach, where thermal and mechanical analyses are simultaneously considered, to thermoelastic phenomena. These problems are recognized for incorporating loads that depend on the solution (in this case, thermal loads). Also known as design-dependent loads, they depend on the material layout inside the structure and their magnitude has a direct impact on the optimization process. Therefore, in the resultant topologies, the instabilities associated with this type of loading become evident. The main focus of this work consists in introducing alternative ways to prevent these issues and deal with the problems’ instability. Therefore, an alternative procedure is proposed to control the problems that arise from the mentioned analysis. An adaptation of the Evolutionary Structural Optimization (ESO) method, also known as Bi-directional ESO, is implemented and the obtained results are compared with the conventional ones. The development of a computational tool consists in an additional outcome of this work and, therefore, the mentioned methodologies are implemented considering a numerical simulation software, based on the Finite Element Method (FEM), as background. Besides the FEM analysis, the computational tool becomes capable of solving different types of topology optimization problems
publishDate 2020
dc.date.none.fl_str_mv 2020-07-27T00:00:00Z
2020-07-27
2021-05-05T13:22:20Z
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instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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