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Record W4385954717 · doi:10.1144/qjegh2022-042

Comparison of existing joint orientation parameters and their effect on rock erodibility in dam spillways

2023· article· en· W4385954717 on OpenAlexafffund
Marie-Hélène Wisse, Ali Saeidi, Marco Quirion

Bibliographic record

VenueQuarterly Journal of Engineering Geology and Hydrogeology · 2023
Typearticle
Languageen
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsHydro-QuébecUniversité du Québec à Chicoutimi
FundersMitacsHydro-QuébecCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada
KeywordsChartRock mass classificationJoint (building)Orientation (vector space)ErosionGeologyGeotechnical engineeringGeological Strength IndexSurface finishEngineeringStructural engineeringStatisticsGeometryMathematicsGeomorphology

Abstract

fetched live from OpenAlex

Rock mass erosion in unlined spillways causes significant structural damage and necessitates expensive repairs. The rock mass is made up of blocks formed by various arrangements of joint sets. The volume and the protrusion of these blocks, as well as the orientation, opening and roughness of the joints, are all features that can affect rock erodibility. Most of these features are incorporated in parameters developed for rock mass characterization. Three joint orientation parameters are compared in this article using a database containing geological and hydraulic information on scoured spillways. According to the detailed method, data are first classified according to rock quality using the Geological Strength Index obtained with the chart suggested by Marinos and Hoek (GSI chart ). Then, for each GSI chart class, data are distributed according to the damage level, stream power and joint orientation parameter chosen. This study shows that no joint orientation parameter is currently able to accurately represent the effect of joint orientation on erosion of excellent- to poor-quality rock mass. Moreover, this study shows that the GSI chart index is not a rock quality index that completely evaluates rock erosion, as some relevant parameters for evaluating rock erodibility are not considered.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.127
Threshold uncertainty score0.745

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.023
GPT teacher head0.265
Teacher spread0.242 · 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 routes2
Has abstractyes

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