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Using particle image velocimetry to monitor soil behavior during landslides in flume experiments

Grant number: 19/16458-2
Support type:Scholarships abroad - Research Internship - Master's degree
Effective date (Start): October 21, 2019
Effective date (End): March 19, 2020
Field of knowledge:Physical Sciences and Mathematics - Geosciences - Geology
Principal researcher:Ana Elisa Silva de Abreu
Grantee:Malena D'Elia Otero
Supervisor abroad: Amin Askarinejad
Home Institution: Instituto de Geociências (IG). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil
Research place: Delft University of Technology (TU Delft), Netherlands  
Associated to the scholarship:18/15869-6 - Use of sensor nodes for soil variables monitoring and landslides early detection, BP.MS

Abstract

Early Warning Systems (EWS) are a non-structural measure for disaster prevention. The use of sensor nodes for monitoring of environmental disasters is gradually increasing and showing promising results. An ongoing research is studying the use of accelerometers as sensor nodes for monitoring landslides in a joint effort of Campinas State University and the Technological Research Institute of São Paulo State. In this study Particle Image Velocimetry (PIV) will be used to validate the displacement data estimated from the measurements performed with the accelerometers in flume experiments. PIV is a non-invasive technique which has been largely and successfully used to calculate displacements in geotechnical models. It allows the estimation of superficial displacements by comparing images from the same study area in different times. The flume experiments and data acquisition will be performed in Brazil in the months preceding the scholar exchange. During the scholar exchange in Delft University of Technology in Holland the images of the experiments will be treated with the PIV technique and compared to the velocities estimated from the accelerometers data. The results of the research will contribute to increase the knowledge about the triggering of landslides in sandy soils and to validate the applicability of innovative sensors for landslide risk monitoring. (AU)

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