| Issue |
E3S Web Conf.
Volume 7, 2016
3rd European Conference on Flood Risk Management (FLOODrisk 2016)
|
|
|---|---|---|
| Article Number | 03018 | |
| Number of page(s) | 6 | |
| Section | Performance and behaviour of flood defences | |
| DOI | https://doi.org/10.1051/e3sconf/20160703018 | |
| Published online | 20 October 2016 | |
Analysis of the filtration processes in soil embankment based on numerical modelling and temperature measurements
1 AGH University of Science and Technology, Faculty of Geology, Geophysics and Environmental Protection, Department of Geoinformatics and Applied Computer Science, al. Mickiewicza 30, 30-059 Krakow, Poland
2 NeoSentio Ltd., ul. Konfederacka 23, 30-306 Krakow, Poland
a Corresponding author: bukowska@agh.edu.pl
This paper presents analysis of the filtration processes in experimental soil embankment. The analysis is made during flooding experiments. The analysis is based on numerical modelling and temperature measurements. The measurements were performed on experimental embankment, which size is in scale 1:5 comparing to Polish typical river embankments. This experimental embankment was built in a frame of ISMOP project [1]. It was constructed by the NeoSentio company to investigate the influence of sensors installation for the filtration process and structure stability. The embankment was dry in the beginning of the experiment. The flooding and discharging process took about 8 hours. Filtration of water through the embankment caused changes of the inner temperature, which was measured by thermal sensors inside the embankment. Pore pressure sensors registered changes in water level in embankment. Furthermore, 2D numerical modelling in FLAC 7.0 software was performed. The model reflects the geometric and geotechnical attributes of the real embankment. Comparison between measured and modelled temperatures was performed. The model quite well predicts the time when water reach each sensor. But there is a difference in the rate of fall of water level. Modification the parameters of the model allows to fit the modelled data to measured values.
© The Authors, published by EDP Sciences, 2016
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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