Study of the influence of temperature and water level of the reservoir about the displacement of a concrete dam

Abstract Multivariate techniques are used in this study to analyze the monitoring data displacements of a concrete dam, measured by means of pendulums, extensometer bases and multiple rod extensometers, taking into account the action of environmental conditions, bounded by the surface temperature of the concrete at ambient temperature and the tank water level. The canonical correlation analysis is used to evaluate the influence of environmental variables in the displacement of structures and dam foundations. The factor analysis is used to identify data sources of variability and order the sensors according to the action of factors. The dates of the measurements are grouped according to similarities in the present observations, by applying the cluster analysis. Then the discriminant analysis is used to assess the groups as to their homogeneity. The results demonstrate that the techniques used for distinguishing the dam responses and identify the effects of changes in environmental conditions on the displacements of the structures and dam foundations.

[1]  Richard A. Johnson,et al.  Applied Multivariate Statistical Analysis , 1983 .

[2]  Keith Worden,et al.  An introduction to structural health monitoring , 2007, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.

[3]  A. De Sortis,et al.  Statistical analysis and structural identification in concrete dam monitoring , 2007 .

[4]  DAM DEFORMATION ANALYSIS USING THE PARTIAL LEAST SQUARES METHOD , 2008 .

[5]  He Jin-ping,et al.  Study on TMTD Statistical Model of Arch Dam Deformation Monitoring , 2011 .

[6]  Charles R. Farrar,et al.  Machine learning algorithms for damage detection under operational and environmental variability , 2011 .

[7]  J. Mata,et al.  Interpretation of concrete dam behaviour with artificial neural network and multiple linear regression models , 2011 .

[8]  Chang Xu,et al.  Hybrid GA/SIMPLS as alternative regression model in dam deformation analysis , 2012, Eng. Appl. Artif. Intell..

[9]  Maria Teresinha Arns Steiner,et al.  Itaipu Hydroelectric Power Plant Structural Geotechnical Instrumentation Temporal Data Under the Application of Multivariate Analysis – Grouping and Ranking Techniques , 2013 .

[10]  Lin Cheng,et al.  Two online dam safety monitoring models based on the process of extracting environmental effect , 2013, Adv. Eng. Softw..

[11]  J.M.G. Sá da Costa,et al.  Time–frequency analysis for concrete dam safety control: Correlation between the daily variation of structural response and air temperature , 2013 .

[12]  Guohua Liu,et al.  Towards an Error Correction Model for dam monitoring data analysis based on Cointegration Theory , 2013 .

[13]  J. Rodellar,et al.  A structural damage detection indicator based on principal component analysis and statistical hypothesis testing , 2014 .