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Record W2157274554 · doi:10.1139/cgj-2013-0387

Interplay of rheology and entrainment in debris avalanches: a numerical study

2014· article· en· W2157274554 on OpenAlexvenueno aff
Sabatino Cuomo, Manuel Pastor, Leonardo Cascini, Giuseppe Claudio Castorino

Bibliographic record

VenueCanadian Geotechnical Journal · 2014
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsnot available
Fundersnot available
KeywordsDebrisLandslideDebris flowGeologyGeotechnical engineeringRheologyEntrainment (biomusicology)Shear (geology)PetrologyMaterials science

Abstract

fetched live from OpenAlex

Flow-type landslides are a major global hazard. They occur worldwide, and are responsible for a large number of casualties, significant structural damage to property and infrastructure, and economic losses. The features of debris avalanches are particularly important, as they involve open slopes and affect triangular source areas when initial slides turn into avalanches through further failures or eventual soil entrainment. In this paper, the propagation stage of debris avalanches is numerically modelled to provide information such as the propagation pattern of the mobilized material and its velocity, thickness, and run-out distance. The use of a “depth-integrated” model has the following advantages: (i) it adequately accommodates the irregular topography of real slopes, which greatly affects the evolution of the propagation stage; and (ii) it is less time consuming than full three-dimensional approaches. The model is named “GeoFlow_SPH” and has previously been applied to theoretical, experimental, and real case histories. The behaviour of debris avalanches is analysed with particular attention to the apical angle, one of the main features of this type of landslide, in relation to soil rheology, hillslope geometry, and the geometric aspect ratio of the triggering area. The role of bed entrainment is also investigated with reference to differences in steepness of the uppermost parts of open slopes. First, simplified benchmark slopes are analysed using both water-like materials (with negligible shear strength) and debris-type materials (saturated frictional soil). Next, the paper addresses three important case studies from the Campania region of southern Italy (Cervinara, Nocera Inferiore, and Sarno), where debris avalanches occur in pyroclastic soils that originated from the eruptive products of the Mount Vesuvius volcano. In all of the cases analysed, the effects of erosion rate are compared with those of simulated soil propagation height, run-out distance, and velocity. In a novel contribution to the existing research, the results obtained from analysis of both the benchmark slopes and the real case histories indicate that landslide propagation depends on the interplay of rheology and bed entrainment. In particular, increased erosion growth rates correspond to shorter run-out distances, lower velocities, and larger propagation depths. It is further shown that erosion depth increases with either friction angle or the consolidation coefficient of pore-water pressure; the latter reduces bed entrainment but does not significantly affect the apical angle of debris avalanches. Globally, the results are particularly satisfactory because they indicate that the GeoFlow_SPH model is a suitable tool for the analysis and forecasting of debris avalanches.

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)0.001
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 score0.072
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.214
Teacher spread0.210 · 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

Citations83
Published2014
Admission routes1
Has abstractyes

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