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Record W4382700920 · doi:10.11159/iccste23.212

DEM Modelling Of Rock Masses Affected By Permafrost Degradation

2023· article· en· W4382700920 on OpenAlexvenueno aff
William Boffelli, Francesco Calvetti

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2023
Typearticle
Languageen
FieldEnvironmental Science
TopicLandslides and related hazards
Canadian institutionsnot available
Fundersnot available
KeywordsPermafrostDegradation (telecommunications)GeologyEarth scienceGeotechnical engineeringMining engineeringComputer scienceOceanographyTelecommunications

Abstract

fetched live from OpenAlex

An increasing number of rockfalls and rockslides has been observed in high mountains during the last decades.Permafrost degradation, driven by global warming, is considered to be the main triggering factor.This paper describes a multi-scale approach to the numerical modelling of potentially unstable rock slopes, by means of a Distinct Element model where the presence of ice in joints is taken into consideration.Starting from previous research at the material scale (ice and frozen soil) and at the joint scale, which allowed to define an original failure criterion for continuous and discontinuous rock joints filled with ice, a large scale DEM model of a selected mountain slope (punta Gnifetti, Monte Rosa massif) is defined and used to reproduce the actual configuration through back-analysis based on geomechanical investigation, and to assess evolutionary scenarios driven by the increase of persistence and of temperature.Relevant numerical issues, regarding boundary conditions and model generation are preliminary discussed, as well.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.443
Threshold uncertainty score0.245

Codex and Gemma teacher scores by category

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

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 head0.013
GPT teacher head0.204
Teacher spread0.191 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Civil, Structural and Transportation EngineeringSame topicLandslides and related hazardsFrench-language works237,207