Autor: |
Josip Peranić, Vedran Jagodnik, Nina Čeh, Martina Vivoda Prodan, Sara Pajalić, Željko Arbanas |
Přispěvatelé: |
Peranić, Josip, Vivoda Prodan, Martin, Bernat Gazibara, Sanja, Krkač, Martin, Mihalić Arbanas, Snježana, Arbanas, Željko |
Jazyk: |
angličtina |
Rok vydání: |
2022 |
Předmět: |
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Zdroj: |
Sara Pajalić |
Popis: |
Despite the considerable progress made in recent decades, there is still a need for a deeper understanding of the physical processes, mechanisms and crucial factors that lead to rainfall-induced landslides. With ongoing climate change affecting the frequency and intensity of meteorological extremes, and the imperatives of continuous urban expansion undoubtedly influencing the frequency and magnitude of landslides, it is no coincidence that the issue of rainfall-induced landslides has received increasing attention from both the scientific community and landslide practitioners in recent decades. Close observation of the hydromechanical response of slopes exposed to different rainfall loads plays a crucial role in understanding the driving mechanisms and factors affecting rainfall-induced landslides. In combination with appropriate monitoring techniques, small-scale physical landslide models can provide accurate insight into the relevant variables under precisely controlled initial and boundary conditions. This paper presents a model platform for physical modelling of scaled slopes under 1g rainfall infiltration conditions, developed at the Faculty of Civil Engineering, University of Rijeka, Croatia, within the four- year research project "Physical modelling of landslide remediation constructions' behaviour under static and seismic actions". Some of the main features of the model platform and the materials used for testing are described. Special attention is given to the sensor network that allows precise monitoring of soil moisture and pore water pressure in a scaled slope during rainfall simulation. Finally, two interesting examples of monitoring data are singled out and analysed with working frameworks relevant to the study of scaled slope models exposed to rainfall. |
Databáze: |
OpenAIRE |
Externí odkaz: |
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