Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam

Detalhes bibliográficos
Autor(a) principal: Mata, J.
Data de Publicação: 2012
Outros Autores: Tavares de Castro, A., Sá da Costa, J. M., Barateiro, J., Miranda , P.
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://repositorio.lnec.pt:8080/jspui/handle/123456789/1003928
Resumo: Dam safety control activities require an accurate knowledge of each specific dam, with the purpose of defining and justifying the judgment about its safety. This task is mainly supported by the cross validation between simulation models, measurements provided by the monitoring systems, and the parameters that characterize the dam's behaviour. The main issue is the assessment of the actual structural behaviour in real conditions, which can be used to detect any anomaly and/or malfunction in advance. Over the years, we can verify a significant evolution in the process of interpreting the physical quantities provided by dam monitoring systems. Nowadays, automated data acquisition systems have become a reality in several dams. These systems can be used to support the analysis for dam safety assessment in real time, but also lead to the increase of requirements related to the management, processing and analysis of large amounts of data. With the development of information systems to support the activities related to dam safety control, particularly the management of a large quantity of information, new challenges related to the management and analysis of information in real time are raised. The implementation of an Internal Early Warning System (IEWS) based on the automatic analysis of a large quantity of data in real time allows the early identification and notification of potential abnormal situations and makes the person responsible able to focus on other activities related with the dam safety control of dams. This paper addresses a proposal for an IEWS able to generate warnings in real time when non-accordance between observed and predicted values is verified. Subjects related to the definition of the thresholds for quantities measured by the monitoring system, as well as the notification process to the person responsible for the dam's safety control, are also discussed. This paper presents the actual Portuguese experience. Aspects related with the requirements for the IEWS are approached. Threshold definition with quantitative interpretation models based on statistical methods, such as multiple linear regression models, and artificial neural network models, is discussed.
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spelling Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete DamEarly warning systemSafety control of damsThreshold definitionInformation systemDam safety control activities require an accurate knowledge of each specific dam, with the purpose of defining and justifying the judgment about its safety. This task is mainly supported by the cross validation between simulation models, measurements provided by the monitoring systems, and the parameters that characterize the dam's behaviour. The main issue is the assessment of the actual structural behaviour in real conditions, which can be used to detect any anomaly and/or malfunction in advance. Over the years, we can verify a significant evolution in the process of interpreting the physical quantities provided by dam monitoring systems. Nowadays, automated data acquisition systems have become a reality in several dams. These systems can be used to support the analysis for dam safety assessment in real time, but also lead to the increase of requirements related to the management, processing and analysis of large amounts of data. With the development of information systems to support the activities related to dam safety control, particularly the management of a large quantity of information, new challenges related to the management and analysis of information in real time are raised. The implementation of an Internal Early Warning System (IEWS) based on the automatic analysis of a large quantity of data in real time allows the early identification and notification of potential abnormal situations and makes the person responsible able to focus on other activities related with the dam safety control of dams. This paper addresses a proposal for an IEWS able to generate warnings in real time when non-accordance between observed and predicted values is verified. Subjects related to the definition of the thresholds for quantities measured by the monitoring system, as well as the notification process to the person responsible for the dam's safety control, are also discussed. This paper presents the actual Portuguese experience. Aspects related with the requirements for the IEWS are approached. Threshold definition with quantitative interpretation models based on statistical methods, such as multiple linear regression models, and artificial neural network models, is discussed.2012-10-17T10:02:20Z2014-10-09T14:21:44Z2017-04-13T10:09:34Z2012-10-01T00:00:00Z2012-10conference objectinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://repositorio.lnec.pt:8080/jspui/handle/123456789/1003928eng2175-8182Mata, J.Tavares de Castro, A.Sá da Costa, J. M.Barateiro, J.Miranda , P.info: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:RCAAP2024-09-28T03:04:42Zoai:localhost:123456789/1003928Portal AgregadorONGhttps://www.rcaap.pt/oai/openairemluisa.alvim@gmail.comopendoar:71602024-09-28T03:04:42Repositório 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 Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam
title Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam
spellingShingle Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam
Mata, J.
Early warning system
Safety control of dams
Threshold definition
Information system
title_short Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam
title_full Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam
title_fullStr Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam
title_full_unstemmed Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam
title_sort Threshold Definition for Internal Early Warning Systems for Structural Safety Control of Dams. Application to a Large Concrete Dam
author Mata, J.
author_facet Mata, J.
Tavares de Castro, A.
Sá da Costa, J. M.
Barateiro, J.
Miranda , P.
author_role author
author2 Tavares de Castro, A.
Sá da Costa, J. M.
Barateiro, J.
Miranda , P.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Mata, J.
Tavares de Castro, A.
Sá da Costa, J. M.
Barateiro, J.
Miranda , P.
dc.subject.por.fl_str_mv Early warning system
Safety control of dams
Threshold definition
Information system
topic Early warning system
Safety control of dams
Threshold definition
Information system
description Dam safety control activities require an accurate knowledge of each specific dam, with the purpose of defining and justifying the judgment about its safety. This task is mainly supported by the cross validation between simulation models, measurements provided by the monitoring systems, and the parameters that characterize the dam's behaviour. The main issue is the assessment of the actual structural behaviour in real conditions, which can be used to detect any anomaly and/or malfunction in advance. Over the years, we can verify a significant evolution in the process of interpreting the physical quantities provided by dam monitoring systems. Nowadays, automated data acquisition systems have become a reality in several dams. These systems can be used to support the analysis for dam safety assessment in real time, but also lead to the increase of requirements related to the management, processing and analysis of large amounts of data. With the development of information systems to support the activities related to dam safety control, particularly the management of a large quantity of information, new challenges related to the management and analysis of information in real time are raised. The implementation of an Internal Early Warning System (IEWS) based on the automatic analysis of a large quantity of data in real time allows the early identification and notification of potential abnormal situations and makes the person responsible able to focus on other activities related with the dam safety control of dams. This paper addresses a proposal for an IEWS able to generate warnings in real time when non-accordance between observed and predicted values is verified. Subjects related to the definition of the thresholds for quantities measured by the monitoring system, as well as the notification process to the person responsible for the dam's safety control, are also discussed. This paper presents the actual Portuguese experience. Aspects related with the requirements for the IEWS are approached. Threshold definition with quantitative interpretation models based on statistical methods, such as multiple linear regression models, and artificial neural network models, is discussed.
publishDate 2012
dc.date.none.fl_str_mv 2012-10-17T10:02:20Z
2012-10-01T00:00:00Z
2012-10
2014-10-09T14:21:44Z
2017-04-13T10:09:34Z
dc.type.driver.fl_str_mv conference object
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 2175-8182
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dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
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reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv mluisa.alvim@gmail.com
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