Physical Model of Rainfall Induced Landslide in Flume Test: Preliminary Results
Bibliographic record
Abstract
Physical modelling of landslides using scaled landslide models behavior began in 1970s in Japan at a scaled natural slope physical model. The laboratory experiments of landslide behavior in a scaled physical model (also called flume or flume test) started in 1980s and 1990s in Canada, Japan and Australia under 1g conditions. The main purpose of the landslide physical modelling 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 modelling of landslide remediation constructions behavior under static and seismic actions, funded by the Croatian Science Foundation. The main Project aim is the modelling of landslide remedial constructions’ behavior in physical models of scaled landslides in static (rainfall triggered landslides) and seismic conditions (earthquake triggered landslides) and their combination under 1g conditions. In this manuscript we will present the preliminary results obtained in landslide initiation test of a sandy slope (constructed of 0-1.0 mm the Drava River sand) exposed to an artificial rain typical for local conditions in Croatia by rainfall simulator. The results of landslide development were monitored by observation of volumetric water content and pore water pressure as well as by of surface displacement by structure from motion (SfM) surface observation displacement monitoring inside the model displaced mass. In this paper the preliminary results of provided test will be presented related to initiation and development of the observed instability of the sandy slope model.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".