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Record W7132424611

Plate testing of reinforced ice in the context of winter roads: experimental set-up and preliminary results

2020· article· en· W7132424611 on OpenAlexvenueaboutno aff
Paul Barrette, David Hnatiw, John Marquardt, Yvan Brunet

Bibliographic record

VenueNPARC · 2020
Typearticle
Languageen
FieldEnvironmental Science
TopicSmart Materials for Construction
Canadian institutionsnot available
Fundersnot available
KeywordsCrackingContext (archaeology)Displacement (psychology)Cold climateIce sheetGeogrid
DOInot available

Abstract

fetched live from OpenAlex

Winter road networks generally comprise segments that run over land and over floating ice (rivers and lakes). The latter commonly are weak links in these operations, especially in a warming climate, because they rely on cold temperatures to achieve a thickness that is safe enough for the intended traffic. A testing program was designed to investigate the performance of steel cables and a polypropylene geogrid as reinforcement materials. This paper reports on the first stage of the test program, which was to design and implement a procedure to generate that information. One ice sheet was grown from freshwater in the NRC ice tank facility in Ottawa, and was partitioned into a series of eight plates 100 mm in average thickness. Forces and displacements were recorded while a downward vertical load was exerted on the plate at a constant displacement rate. Cracking activity was monitored via an acoustic sensor system. All plates underwent radial cracking. A good correlation existed between the response of the vertical load and cracking activity. Prospective follow-up on this preliminary testing is discussed.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.041
Threshold uncertainty score0.192

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 head0.026
GPT teacher head0.236
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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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
Published2020
Admission routes2
Has abstractyes

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