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Record W7161997330 · doi:10.82308/35926

Analysis of rime ice accumulation at Mont Bélair and design of transmission lines

2004· dissertation· en· W7161997330 on OpenAlexaboutno aff
Zhang Yang

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicIcing and De-icing Technologies
Canadian institutionsnot available
Fundersnot available
KeywordsHard rimeIcingFreezing rainIce formationAccretion (finance)

Abstract

fetched live from OpenAlex

The objective of this thesis is to review current approaches for the specification of design loads for rime ice and to propose improvements based on an analysis of field data provided by Hydro-Quebec. Hydro-Quebec established an experimental site on Mont Belair in 1994 for the purpose of obtaining much more detailed data on ice accretion in real time for both glaze ice and rime ice. In this study, rime ice events were identified, analyzed and characterized in terms of their recurrence, severity and relationship to winds. IEC-60826 (2000) recommended procedures are used to calculate design rime ice and wind-on-ice loadsusing the ice load map of CSA C22.3 No. 1-01. The Extreme Type I (Gumbel) distribution is chosen for rime ice in the calculation of design loads based on a reliability-based method. Design rime ice loads derived from the two procedures show that the rime design loads based on short term data at Mont Belair are compatible with IEC-60826 (2000) provisions.

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 score0.640
Threshold uncertainty score0.564

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.025
GPT teacher head0.274
Teacher spread0.249 · 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
Published2004
Admission routes1
Has abstractyes

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