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Record W2159923514 · doi:10.1139/cgj-2011-0371

Evaluating the behaviour of instrumented prototype rockfill dams

2013· article· en· W2159923514 on OpenAlexaffvenue
Sumi Siddiqua, James Blatz, N. C. Privat

Bibliographic record

VenueCanadian Geotechnical Journal · 2013
Typearticle
Languageen
FieldEngineering
TopicDam Engineering and Safety
Canadian institutionsResearch ManitobaUniversity of ManitobaUniversity of British Columbia, Okanagan Campus
Fundersnot available
KeywordsPiezometerGeotechnical engineeringEngineeringFlow (mathematics)HydraulicsFlow conditionsHydraulic structureTurbulenceGroundwaterMechanicsAquifer

Abstract

fetched live from OpenAlex

This paper studies the behaviour of prototype rockfill dams under turbulent flow conditions to identify the flow-through characteristics of rockfill materials and examines conventional design principles. Two scales of prototype rockfill dams were studied. The first type of prototype tests included fifteen 0.5 m tall dams constructed with three different downstream slope angles. The dams were monitored for upstream and downstream water level, discharge rate, particle movement on the downstream face, and any noticeable failure (local or global) during the experiments. The second set of prototype tests included two 1.2 m tall dams constructed to study the internal hydraulic conditions and required a flow environment to initiate particle movements in rockfill structures. The results from the testing of small-dimension dams (mini-dams) provided understanding for developing the methodologies to optimize the design and construction of the scale-dam tests. The hydraulic performances of the scale-dams are presented using vibrating-wire piezometers measurements. Experimental data of the stage–discharge relationship are compared with predictive models, which show strong correlations.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.094
Threshold uncertainty score0.634

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 integrity0.0000.001
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 head0.019
GPT teacher head0.255
Teacher spread0.236 · 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

Citations9
Published2013
Admission routes2
Has abstractyes

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