Evaluation of concrete deterioration through artificial neural networks based systems
Main Author: | |
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Publication Date: | 2014 |
Other Authors: | , |
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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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 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
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 |
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RCAAP |
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RCAAP |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
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Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) |
repository.name.fl_str_mv |
Repositórios Científicos de Acesso Aberto de Portugal (RCAAP) - FCCN, serviços digitais da FCT – Fundação para a Ciência e a Tecnologia |
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info@rcaap.pt |
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1833594989692583936 |