Behavior prediction models and control charts for safety control of concrete dams

This paper presents a study for improving measurement procedures on concrete dams based on the development of behavior prediction models using multiple regression and control charts. The series of displacements of the TA-2 concrete block crest of the Tucuruí Hydroelectric Power Plant, the largest Brazilian hydroelectric power plant, was taken as an example of application. The methodology that was used generated a behavior prediction model that is in good agreement with the measured displacements. Two types of control charts were tested, both of which identified the change in structural behavior of the block.

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Main Authors: Lopes,R. A. C., Santos,E. P., Veloso,L. A. C. M.
Format: Digital revista
Language:English
Published: IBRACON - Instituto Brasileiro do Concreto 2012
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952012000300003
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spelling oai:scielo:S1983-419520120003000032012-09-20Behavior prediction models and control charts for safety control of concrete damsLopes,R. A. C.Santos,E. P.Veloso,L. A. C. M. concrete dams prediction models control charts safety control This paper presents a study for improving measurement procedures on concrete dams based on the development of behavior prediction models using multiple regression and control charts. The series of displacements of the TA-2 concrete block crest of the Tucuruí Hydroelectric Power Plant, the largest Brazilian hydroelectric power plant, was taken as an example of application. The methodology that was used generated a behavior prediction model that is in good agreement with the measured displacements. Two types of control charts were tested, both of which identified the change in structural behavior of the block.info:eu-repo/semantics/openAccessIBRACON - Instituto Brasileiro do ConcretoRevista IBRACON de Estruturas e Materiais v.5 n.3 20122012-06-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952012000300003en10.1590/S1983-41952012000300003
institution SCIELO
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country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Lopes,R. A. C.
Santos,E. P.
Veloso,L. A. C. M.
spellingShingle Lopes,R. A. C.
Santos,E. P.
Veloso,L. A. C. M.
Behavior prediction models and control charts for safety control of concrete dams
author_facet Lopes,R. A. C.
Santos,E. P.
Veloso,L. A. C. M.
author_sort Lopes,R. A. C.
title Behavior prediction models and control charts for safety control of concrete dams
title_short Behavior prediction models and control charts for safety control of concrete dams
title_full Behavior prediction models and control charts for safety control of concrete dams
title_fullStr Behavior prediction models and control charts for safety control of concrete dams
title_full_unstemmed Behavior prediction models and control charts for safety control of concrete dams
title_sort behavior prediction models and control charts for safety control of concrete dams
description This paper presents a study for improving measurement procedures on concrete dams based on the development of behavior prediction models using multiple regression and control charts. The series of displacements of the TA-2 concrete block crest of the Tucuruí Hydroelectric Power Plant, the largest Brazilian hydroelectric power plant, was taken as an example of application. The methodology that was used generated a behavior prediction model that is in good agreement with the measured displacements. Two types of control charts were tested, both of which identified the change in structural behavior of the block.
publisher IBRACON - Instituto Brasileiro do Concreto
publishDate 2012
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1983-41952012000300003
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AT santosep behaviorpredictionmodelsandcontrolchartsforsafetycontrolofconcretedams
AT velosolacm behaviorpredictionmodelsandcontrolchartsforsafetycontrolofconcretedams
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