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Record W2112528908 · doi:10.1139/t09-143

Analysis of run-up of granular avalanches against steep, adverse slopes and protective barriers

2010· article· en· W2112528908 on OpenAlexaffvenue
D. Mancarella, Oldrich Hungr

Bibliographic record

VenueCanadian Geotechnical Journal · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsFlumeGeologyPerpendicularGeotechnical engineeringMechanicsLandslideFlow (mathematics)Shock (circulatory)RADIUSGeometryPhysicsMathematics

Abstract

fetched live from OpenAlex

The purpose of this study was to determine whether run-up of rapid landslides or avalanches against protective dykes or walls placed perpendicular to the path can be predicted using a dynamic model based on shallow-flow assumptions. A series of laboratory experiments were carried out involving rapid flow of dry sand in a flume, arrested by a steep adverse slope. The barrier slope was varied and included a perpendicular wall. A curved transition of varying radius separated the path from the barrier. The dynamic internal and basal friction angles of the sand were determined by independent testing. The results were analysed using a Savage–Hutter type model. A shock wave was observed as the flow approached the barrier toe and the model had to be improved by an original velocity-smoothing algorithm to prevent numerical instability. The new model is capable of simulating the entire process of run-up of the leading edge against the barrier face, deposition of the sand behind the barrier, and backward migration of the shock wave. Comparisons between experiment and analysis results are presented. The model tends to overpredict the vertical run-up in cases where the barrier slope is steep. The results of traditional run-up formulas are also compared.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.254
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.004
GPT teacher head0.193
Teacher spread0.189 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations70
Published2010
Admission routes2
Has abstractyes

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