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Record W958849887 · doi:10.33593/iccp.v5i1.833

TEN YEARS EXPERIENCE WITH EXPERIMENTAL CONCRETE PAVEMENT SECTIONS IN ONTARIO

2025· article· en· W958849887 on OpenAlexaboutno aff
T Kazmierowski, Alison Bradbury

Bibliographic record

VenueProceedings of the International Conference on Concrete Pavements · 2025
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsFalling weight deflectometerServiceability (structure)Skid (aerodynamics)Geotechnical engineeringSlabEngineeringStructural engineeringDeflection (physics)SubgradeCivil engineering

Abstract

fetched live from OpenAlex

In 1982, four experimental sections of rigid pavement were constructed on Highway 3, southeast of Windsor, to assess the comparative performance and overall serviceability of various innovative concepts in concrete pavement design. The demonstration project was evaluated and reported on in 1985 and 1988 after three and six years of service, and most recently in 1992 after ten years of service. The concrete pavement consisted of four plain jointed undowelled concrete pavement (JPCP) sections varying in design and length. The performance of the pavement sections is described in terms of load transfer and centre slab deflections based on Falling Weight Deflectometer (FWD) testing, roughness, skid resistance, joint movement and a crack survey. Observations of noise levels, traffic volumes, and surface texture are discussed. A brief summary of the design and construction details, plus the performance results of an ongoing ten year monitoring program are documented in this paper. Conclusions based on ten years of performance results indicate the higher levels of serviceability achieved with the free draining base section and full depth section.

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 score0.308
Threshold uncertainty score0.641

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 science0.0010.000
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 head0.028
GPT teacher head0.272
Teacher spread0.243 · 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

Citations2
Published2025
Admission routes1
Has abstractyes

Explore more

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