Evaluation of concrete deterioration through artificial neural networks based systems

Bibliographic Details
Main Author: Gomes, Guida
Publication Date: 2014
Other Authors: Vicente, Henrique, Neves, José
Language: eng
Source: Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
Download full: http://hdl.handle.net/1822/31810
Summary: The deterioration of concrete structures is one of the major concerns of our society. Indeed, concrete is a relatively sensitive material, which degrades throughout time. Factors like age, use, periodic maintenance, type of environmental exposure and aggression by biological, chemical, mechanical and physical agents are important to determine the level of degradation of the concrete structures. Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks were used in order to evaluate the deterioration of concrete structures and the degree of confidence that one has on such a happening.
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spelling Evaluation of concrete deterioration through artificial neural networks based systemsArtificial neuronal networksConcrete degradationKnowledge representation and reasoningLogic programmingThe deterioration of concrete structures is one of the major concerns of our society. Indeed, concrete is a relatively sensitive material, which degrades throughout time. Factors like age, use, periodic maintenance, type of environmental exposure and aggression by biological, chemical, mechanical and physical agents are important to determine the level of degradation of the concrete structures. Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks were used in order to evaluate the deterioration of concrete structures and the degree of confidence that one has on such a happening.EuropmentUniversidade do MinhoGomes, GuidaVicente, HenriqueNeves, José20142014-01-01T00:00:00Zbook partinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://hdl.handle.net/1822/31810eng978-1-61804-241-5http://www.europment.org/library/2014/santorini/bypaper/MECHANICS/MECHANICS-19.pdfinfo:eu-repo/semantics/openAccessreponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)instname:FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiainstacron:RCAAP2024-05-11T04:42:49Zoai:repositorium.sdum.uminho.pt:1822/31810Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireinfo@rcaap.ptopendoar:https://opendoar.ac.uk/repository/71602025-05-28T14:56:15.433146Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologiafalse
dc.title.none.fl_str_mv Evaluation of concrete deterioration through artificial neural networks based systems
title Evaluation of concrete deterioration through artificial neural networks based systems
spellingShingle Evaluation of concrete deterioration through artificial neural networks based systems
Gomes, Guida
Artificial neuronal networks
Concrete degradation
Knowledge representation and reasoning
Logic programming
title_short Evaluation of concrete deterioration through artificial neural networks based systems
title_full Evaluation of concrete deterioration through artificial neural networks based systems
title_fullStr Evaluation of concrete deterioration through artificial neural networks based systems
title_full_unstemmed Evaluation of concrete deterioration through artificial neural networks based systems
title_sort Evaluation of concrete deterioration through artificial neural networks based systems
author Gomes, Guida
author_facet Gomes, Guida
Vicente, Henrique
Neves, José
author_role author
author2 Vicente, Henrique
Neves, José
author2_role author
author
dc.contributor.none.fl_str_mv Universidade do Minho
dc.contributor.author.fl_str_mv Gomes, Guida
Vicente, Henrique
Neves, José
dc.subject.por.fl_str_mv Artificial neuronal networks
Concrete degradation
Knowledge representation and reasoning
Logic programming
topic Artificial neuronal networks
Concrete degradation
Knowledge representation and reasoning
Logic programming
description The deterioration of concrete structures is one of the major concerns of our society. Indeed, concrete is a relatively sensitive material, which degrades throughout time. Factors like age, use, periodic maintenance, type of environmental exposure and aggression by biological, chemical, mechanical and physical agents are important to determine the level of degradation of the concrete structures. Logic Programming was used for knowledge representation and reasoning, letting the modeling of the universe of discourse in terms of defective data, information and knowledge. Artificial Neural Networks were used in order to evaluate the deterioration of concrete structures and the degree of confidence that one has on such a happening.
publishDate 2014
dc.date.none.fl_str_mv 2014
2014-01-01T00:00:00Z
dc.type.driver.fl_str_mv book part
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/1822/31810
url http://hdl.handle.net/1822/31810
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 978-1-61804-241-5
http://www.europment.org/library/2014/santorini/bypaper/MECHANICS/MECHANICS-19.pdf
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Europment
publisher.none.fl_str_mv Europment
dc.source.none.fl_str_mv reponame:Repositórios Científicos de Acesso Aberto de Portugal (RCAAP)
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