Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection

Detalhes bibliográficos
Autor(a) principal: Discher, Marcos Gottschalg
Data de Publicação: 2022
Outros Autores: Santos, Givanildo de Jesus, Teles, Eduardo Oliveira
Tipo de documento: Artigo
Idioma: por
Título da fonte: Cadernos de Prospecção (Online)
Texto Completo: https://periodicos.ufba.br/index.php/nit/article/view/44907
Resumo: Artificial Intelligence (AI) is a technology that makes use of machines that learn from experience and have the ability to perform complex tasks such as the design of reinforced concrete structures. The increase in the complexity of structures used in constructions brings the need for the development and implementation of new technologies in civil construction. Thus, the objective of this work was to carry out a scientific and technological prospection on the use of AI in the analysis and design of reinforced concrete structures. This work presents a qualitative-quantitative approach, of an exploratory nature, through scientific research in the bases of Capes and Web of Science, and patents in the bases of INPI and Orbit. Although the use of ICTs in civil construction is timid, the prospection pointed to a relevant growth in the use of AI in civil construction in the world, however, in Brazil the use of technology is still very incipient.
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spelling Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospectionUtilização de Inteligência Artificial para Análise e Dimensionamento de Estruturas em Concreto Armado: uma prospecção tecnológicaInteligência ArtificialEngenharia EstruturalConcreto Armado.Artificial IntelligenceStructural EngineeringReinforced Concrete.Artificial Intelligence (AI) is a technology that makes use of machines that learn from experience and have the ability to perform complex tasks such as the design of reinforced concrete structures. The increase in the complexity of structures used in constructions brings the need for the development and implementation of new technologies in civil construction. Thus, the objective of this work was to carry out a scientific and technological prospection on the use of AI in the analysis and design of reinforced concrete structures. This work presents a qualitative-quantitative approach, of an exploratory nature, through scientific research in the bases of Capes and Web of Science, and patents in the bases of INPI and Orbit. Although the use of ICTs in civil construction is timid, the prospection pointed to a relevant growth in the use of AI in civil construction in the world, however, in Brazil the use of technology is still very incipient.A Inteligência Artificial (IA) é uma tecnologia que faz uso de máquinas que aprendem com a experiência e possuem a capacidade de executar tarefas complexas como o dimensionamento de estruturas de concreto armado. O aumento na complexibilidade das estruturas utilizadas nas construções traz a necessidade de desenvolvimento e de implantação de novas tecnologias na construção civil. Assim, o objetivo deste trabalho é realizar uma prospecção científica e tecnológica sobre a utilização de IA na análise e no dimensionamento de estruturas em concreto armado. Este trabalho apresenta uma abordagem quali-quantitativa, de natureza exploratória, por meio de pesquisas científicas nas bases da Capes e Web of Science, e patentárias nas bases do INPI e do Orbit. Apesar de o uso de TICs na construção civil ser tímido, a prospecção apontou um crescimento relevante da utilização da IA na construção civil no mundo, no entanto, no Brasil, a utilização dessa tecnologia ainda é muito incipiente.Universidade Federal da Bahia2022-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufba.br/index.php/nit/article/view/4490710.9771/cp.v15i4.44907Cadernos de Prospecção; Vol. 15 No. 4 (2022); 1354-1368Cadernos de Prospecção; v. 15 n. 4 (2022); 1354-13682317-00261983-1358reponame:Cadernos de Prospecção (Online)instname:Universidade Federal da Bahia (UFBA)instacron:UFBAporhttps://periodicos.ufba.br/index.php/nit/article/view/44907/27599Copyright (c) 2022 Cadernos de Prospecçãohttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessDischer, Marcos GottschalgSantos, Givanildo de JesusTeles, Eduardo Oliveira2022-10-01T11:17:48Zoai:ojs.periodicos.ufba.br:article/44907Revistahttps://periodicos.ufba.br/index.php/nitPUBhttps://periodicos.ufba.br/index.php/nit/oaicadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com2317-00261983-1358opendoar:2022-10-01T11:17:48Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)false
dc.title.none.fl_str_mv Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection
Utilização de Inteligência Artificial para Análise e Dimensionamento de Estruturas em Concreto Armado: uma prospecção tecnológica
title Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection
spellingShingle Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection
Discher, Marcos Gottschalg
Inteligência Artificial
Engenharia Estrutural
Concreto Armado.
Artificial Intelligence
Structural Engineering
Reinforced Concrete.
title_short Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection
title_full Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection
title_fullStr Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection
title_full_unstemmed Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection
title_sort Use of Artificial Intelligence for Analysis and Dimensioning of Structures in Armed Concrete: a technological prospection
author Discher, Marcos Gottschalg
author_facet Discher, Marcos Gottschalg
Santos, Givanildo de Jesus
Teles, Eduardo Oliveira
author_role author
author2 Santos, Givanildo de Jesus
Teles, Eduardo Oliveira
author2_role author
author
dc.contributor.author.fl_str_mv Discher, Marcos Gottschalg
Santos, Givanildo de Jesus
Teles, Eduardo Oliveira
dc.subject.por.fl_str_mv Inteligência Artificial
Engenharia Estrutural
Concreto Armado.
Artificial Intelligence
Structural Engineering
Reinforced Concrete.
topic Inteligência Artificial
Engenharia Estrutural
Concreto Armado.
Artificial Intelligence
Structural Engineering
Reinforced Concrete.
description Artificial Intelligence (AI) is a technology that makes use of machines that learn from experience and have the ability to perform complex tasks such as the design of reinforced concrete structures. The increase in the complexity of structures used in constructions brings the need for the development and implementation of new technologies in civil construction. Thus, the objective of this work was to carry out a scientific and technological prospection on the use of AI in the analysis and design of reinforced concrete structures. This work presents a qualitative-quantitative approach, of an exploratory nature, through scientific research in the bases of Capes and Web of Science, and patents in the bases of INPI and Orbit. Although the use of ICTs in civil construction is timid, the prospection pointed to a relevant growth in the use of AI in civil construction in the world, however, in Brazil the use of technology is still very incipient.
publishDate 2022
dc.date.none.fl_str_mv 2022-10-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/44907
10.9771/cp.v15i4.44907
url https://periodicos.ufba.br/index.php/nit/article/view/44907
identifier_str_mv 10.9771/cp.v15i4.44907
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://periodicos.ufba.br/index.php/nit/article/view/44907/27599
dc.rights.driver.fl_str_mv Copyright (c) 2022 Cadernos de Prospecção
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2022 Cadernos de Prospecção
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidade Federal da Bahia
publisher.none.fl_str_mv Universidade Federal da Bahia
dc.source.none.fl_str_mv Cadernos de Prospecção; Vol. 15 No. 4 (2022); 1354-1368
Cadernos de Prospecção; v. 15 n. 4 (2022); 1354-1368
2317-0026
1983-1358
reponame:Cadernos de Prospecção (Online)
instname:Universidade Federal da Bahia (UFBA)
instacron:UFBA
instname_str Universidade Federal da Bahia (UFBA)
instacron_str UFBA
institution UFBA
reponame_str Cadernos de Prospecção (Online)
collection Cadernos de Prospecção (Online)
repository.name.fl_str_mv Cadernos de Prospecção (Online) - Universidade Federal da Bahia (UFBA)
repository.mail.fl_str_mv cadernosdeprospeccao@gmail.com || maliceribeiro@yahoo.com.br || cadernosdeprospeccao@gmail.com || saionaraluna@gmail.com
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