Abstract. The numerical modelling of coupled mechanical, thermal and hydrogeological processes for a soil levee is presented in the paper. The modelling was performed for a real levee that was built in Poland as a part of the ISMOP project. Only four parameters were changed to build different flood waves: the water level, period of water increase, period of water decrease, and period of low water level after the experiment. Results of numerical modelling shows that it is possible and advisable to calculate simultaneously changes of thermal and hydro-mechanical fields. The presented results show that it is also possible to use thermal sensors in place of more expensive pore pressure sensors, with some limitations. The results of stability analysis show that the levee is less stable when the water level decreases, after which factor of safety decreases significantly. For all flooding wave parameters described in the paper, the levee is very stable and factor of safety variations for any particular stage were not very large.
This study presents a comparison of data acquisition, processing and interpretation between passive seismic interferometry (SI) and active multichannel analysis of surface waves (MASW) methods, both using surface waves for estimation S-wave velocity field. Measurements have been taken in the same geological engineering conditions on Just-Tegoborze landslide on the south of Poland. This comparison study has an important meaning from landslide hazard evaluation point of view. The landslide is located in Magura Nappe in Outer (Flysch) Carpathians. SI was based on registration of local seismic noise generated by high traffic on the state road which intersects the landslide. The main processing step was cross-correlation of seismic noise between every pair of receivers. It led to obtain series of empirical Green's functions for Rayleigh surface wave. However, in MASW method, seismic energy was released by an impact of 5 kg sledgehammer in a metal plate. Both methods included analysis of dispersion curves of Rayleigh surface wave. The inversion of picked fundamental modes was applied using genetic algorithm and resulted in 1D S-wave velocity models. The last step of interpretation included model visualization as the 2D S-wave velocity sections for studied profiles. Both MASW and SI methods allowed to estimate S-wave velocity field in Just-Tegoborze landslide subsurface. Dispersion images obtained from both methods provided similar phase velocity and frequency ranges. On S-wave velocity sections, the greater depth range was observed for SI method; however, lateral resolution was better for MASW. Slip surfaces in colluvial layer were not observed on either SI or MASW S-wave velocity sections. Only results obtained from SI allowed to distinguish probable slip surface located deeper, i.e. on the contact with less weathered flysch bedrock.
Abstract. 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.
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