Monitoring and Data Analysis in Small-Scale Landslide Physical Model
Physical modeling of landslides using scaled landslide models began in the 1970s in Japan at scaled natural slope physical models. Laboratory experiments of landslide behavior in scaled physical models (also known as flume or flume test) started in the 1980s and 1990s in Canada, Japan, and Australia...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2021-05-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/11/11/5040 |
| _version_ | 1797532101222858752 |
|---|---|
| author | Sara Pajalić Josip Peranić Sandra Maksimović Nina Čeh Vedran Jagodnik Željko Arbanas |
| author_facet | Sara Pajalić Josip Peranić Sandra Maksimović Nina Čeh Vedran Jagodnik Željko Arbanas |
| author_sort | Sara Pajalić |
| collection | DOAJ |
| description | Physical modeling of landslides using scaled landslide models began in the 1970s in Japan at scaled natural slope physical models. Laboratory experiments of landslide behavior in scaled physical models (also known as flume or flume test) started in the 1980s and 1990s in Canada, Japan, and Australia under 1 g conditions. The main purpose of the landslide physical modeling in the last 25 years was research of initiation, motion, and accumulation of fast flow-like landslides caused by infiltration of water in a slope. In October 2018, at the Faculty of Civil Engineering University of Rijeka, started a four-year research project “Physical modeling of landslide remediation constructions’ behavior under static and seismic actions” funded by the Croatian Science Foundation. This paper presents an overview of the methods and monitoring equipment used in the physical models of a sandy slope exposed to artificial rainfall. Landslide development was monitored by observation of volumetric water content and acceleration as well as by observations of surface displacement by means of high-speed stereo cameras, terrestrial laser scanning, and structure-from-motion photogrammetry. Some of the preliminary results of the initial series of experiments are presented, and advantages and disadvantages of the used equipment are discussed. |
| first_indexed | 2024-03-10T10:54:18Z |
| format | Article |
| id | doaj.art-146c4e5e331a47598c8513674e45a142 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T10:54:18Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-146c4e5e331a47598c8513674e45a1422023-11-21T21:59:48ZengMDPI AGApplied Sciences2076-34172021-05-011111504010.3390/app11115040Monitoring and Data Analysis in Small-Scale Landslide Physical ModelSara Pajalić0Josip Peranić1Sandra Maksimović2Nina Čeh3Vedran Jagodnik4Željko Arbanas5Faculty of Civil Engineering, University of Rijeka, 51000 Rijeka, CroatiaFaculty of Civil Engineering, University of Rijeka, 51000 Rijeka, CroatiaStarum Ltd., 52100 Pula, CroatiaFaculty of Civil Engineering, University of Rijeka, 51000 Rijeka, CroatiaFaculty of Civil Engineering, University of Rijeka, 51000 Rijeka, CroatiaFaculty of Civil Engineering, University of Rijeka, 51000 Rijeka, CroatiaPhysical modeling of landslides using scaled landslide models began in the 1970s in Japan at scaled natural slope physical models. Laboratory experiments of landslide behavior in scaled physical models (also known as flume or flume test) started in the 1980s and 1990s in Canada, Japan, and Australia under 1 g conditions. The main purpose of the landslide physical modeling in the last 25 years was research of initiation, motion, and accumulation of fast flow-like landslides caused by infiltration of water in a slope. In October 2018, at the Faculty of Civil Engineering University of Rijeka, started a four-year research project “Physical modeling of landslide remediation constructions’ behavior under static and seismic actions” funded by the Croatian Science Foundation. This paper presents an overview of the methods and monitoring equipment used in the physical models of a sandy slope exposed to artificial rainfall. Landslide development was monitored by observation of volumetric water content and acceleration as well as by observations of surface displacement by means of high-speed stereo cameras, terrestrial laser scanning, and structure-from-motion photogrammetry. Some of the preliminary results of the initial series of experiments are presented, and advantages and disadvantages of the used equipment are discussed.https://www.mdpi.com/2076-3417/11/11/5040landslidesphysical modelingartificial rainfallmonitoringobservationsequipment |
| spellingShingle | Sara Pajalić Josip Peranić Sandra Maksimović Nina Čeh Vedran Jagodnik Željko Arbanas Monitoring and Data Analysis in Small-Scale Landslide Physical Model Applied Sciences landslides physical modeling artificial rainfall monitoring observations equipment |
| title | Monitoring and Data Analysis in Small-Scale Landslide Physical Model |
| title_full | Monitoring and Data Analysis in Small-Scale Landslide Physical Model |
| title_fullStr | Monitoring and Data Analysis in Small-Scale Landslide Physical Model |
| title_full_unstemmed | Monitoring and Data Analysis in Small-Scale Landslide Physical Model |
| title_short | Monitoring and Data Analysis in Small-Scale Landslide Physical Model |
| title_sort | monitoring and data analysis in small scale landslide physical model |
| topic | landslides physical modeling artificial rainfall monitoring observations equipment |
| url | https://www.mdpi.com/2076-3417/11/11/5040 |
| work_keys_str_mv | AT sarapajalic monitoringanddataanalysisinsmallscalelandslidephysicalmodel AT josipperanic monitoringanddataanalysisinsmallscalelandslidephysicalmodel AT sandramaksimovic monitoringanddataanalysisinsmallscalelandslidephysicalmodel AT ninaceh monitoringanddataanalysisinsmallscalelandslidephysicalmodel AT vedranjagodnik monitoringanddataanalysisinsmallscalelandslidephysicalmodel AT zeljkoarbanas monitoringanddataanalysisinsmallscalelandslidephysicalmodel |