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Otimização e simulação em projetos de infraestrutura usando BIM
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Palavras-chave

tomada de decisão
modelos matemáticos
solução ótima
modelagem da informação da construção
design generativo

Como Citar

CRIPPA, Julianna; UGAYA, Cássia Maria Lie. Otimização e simulação em projetos de infraestrutura usando BIM: uma revisão sistemática da literatura. PARC Pesquisa em Arquitetura e Construção, Campinas, SP, v. 15, n. 00, p. eo24010, 2024. DOI: 10.20396/parc.v15i00.8674190. Disponível em: https://periodicos.sbu.unicamp.br/ojs/index.php/parc/article/view/8674190. Acesso em: 27 jul. 2024.

Resumo

Este estudo apresenta uma análise bibliométrica abrangente e uma revisão sistemática da literatura sobre práticas de otimização e simulação em projetos de infraestrutura usando a Modelagem da Informação da Construção (BIM). O principal objetivo deste artigo é identificar sistematicamente os métodos propostos na literatura que tenham aplicado otimização ou simulação com BIM em projetos de infraestrutura, e posteriormente analisar e correlacionar essas aplicações. A análise abordou 22 documentos de várias fontes, destacando "Transportation Research Procedia" e "Tunnelling and Underground Space Technology". O número de publicações oscilou ao longo dos anos, com a Itália liderando as contribuições e colaboração internacional. O total de citações contabilizou 197, sendo que a publicação mais citada alcançou 67. A pesquisa identificou palavras-chave como "Building Information Modeling," "Infrastructure Projects" e "Geographic Information System (GIS)". A Simulação Digital liderou como técnica mais aplicada, seguida por algoritmos de Inteligência Artificial, especialmente o Algoritmo Genético. As ferramentas da Autodesk, como Civil 3D e Revit, predominaram, junto com interfaces como Dynamo, Grasshopper, e linguagens como Python. No geral, a pesquisa esclarece o estado atual da aplicação destas práticas em projetos de infraestrutura usando o BIM e fornece insights valiosos para pesquisadores e profissionais. A ampla variedade de objetos, objetivos, fases, ferramentas e técnicas utilizadas no processo de otimização abre caminho para futuras investigações neste contexto.

https://doi.org/10.20396/parc.v15i00.8674190
PDF (English)

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