Representativeness of measurements in the interpretation of earth dam behaviour

2006 ◽  
Vol 43 (1) ◽  
pp. 87-99 ◽  
Author(s):  
Luca Pagano ◽  
Stefania Sica ◽  
Augusto Desideri

The representativeness of measurements monitored in earth dams is analysed to investigate how a given measured quantity can be used to interpret the dam's mechanical behaviour. Representativeness is evaluated on the basis of spatial continuity of the measured quantity and the sensitivity of that quantity to natural mechanical nonhomogeneity. The discussion is supported by results from case studies and numerical examples. The study is mainly focused on pore-water pressure measurements. Spatial continuity of pore-water pressure is analysed with consideration of both saturation and drainage conditions. The paper discusses how pore-water pressure representativeness can vary over the lifetime of the dam.Key words: earth dam, pore-water pressure, monitoring.

2010 ◽  
Vol 50 (2) ◽  
pp. 295-307 ◽  
Author(s):  
Luca Pagano ◽  
Enzo Fontanella ◽  
Stefania Sica ◽  
Augusto Desideri

2021 ◽  
Vol 45 (2) ◽  
pp. 20210008
Author(s):  
Yawu Liang ◽  
Nicholas Beier ◽  
D. C. Sego

2021 ◽  
Vol 14 (13) ◽  
Author(s):  
Behrang Beiranvand ◽  
Mostafa zeinolebadi rozbahani ◽  
Ahmad Reza Mazaheri ◽  
Mehdi Komasi

Author(s):  
Behrang Beiranvand ◽  
Mehdi Komasi

AbstractOne of the most important issues in earth dams is the control rate of seepage from the foundation and dam bodies. Due to the site of the dams, to increase the creep length and reduce the seepage, there are several methods for sealing the reservoir of dams that construction of the cut-off wall under the clay core of the dams is one of the most effective methods. In this study, the seepage rate and pore water pressure of the Eyvashan earth dam, comparison of instrument results with the results of numerical analysis and, finally, the performance of the cut-off wall are investigated. According to the results of instrumental and numerical analysis, the maximum seepage rate in full reservoir conditions is equal to 831,604 m3/year. To fit the data of instrumentation and numerical analysis, multivariate regression was used and the coefficient of determination was used which R2 = 0.9892 and R2 = 0.9834, respectively, were obtained for seepage and pore water pressure. Very good agreement between the results of the observed data and the predicted data indicates the proper behavior of the dam in terms of pore water pressure. Also, due to the results of numerical simulation and instrumentation, the pore water pressure in the downstream part of the cut-off wall is suddenly dropped, which indicates the correct operation of the cut-off wall.


Landslides ◽  
2021 ◽  
Author(s):  
Gaetano Pecoraro ◽  
Michele Calvello

AbstractA methodology designed to integrate widespread meteorological monitoring and pore water pressure measurements is proposed. The procedure is tested in 30 hydrological basins highly susceptible to weather-induced landslides in Norway. The following data are used: a catalog of 125 weather-induced landslides in soils registered between January 2013 and June 2017, widespread meteorological monitoring data employed in a territorial warning model, and pore water pressure measurements retrieved from boreholes installed for a variety of geotechnical projects. The territorial warning model is initially applied to identify the warning events and the correspondent warning level in the test areas over the analysis period. Afterwards, a method for assessing the territorial warning events by analyzing the trends of the monitored pore water pressures is proposed. Finally, an augmented territorial warning model is calibrated and validated using statistical indicators widely adopted in literature. The analysis of the results reveals a satisfactory correspondence between days with landslides and the warning levels provided by the augmented territorial warning model. A final comparison between the results of the model calibration and the model validation highlighted the consistency of the model performance, once the three model parameters are adequately set.


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