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Record W637319621 · doi:10.33593/iccp.v10i1.438

Challenges with Construction of Portland Cement Concrete Pavement at Calgary International Airport

2025· article· en· W637319621 on OpenAlexaboutno aff
B Czarnecki, Ward L. Johnson, Curtis Bouteiller

Bibliographic record

VenueProceedings of the International Conference on Concrete Pavements · 2025
Typearticle
Languageen
FieldEngineering
TopicConcrete and Cement Materials Research
Canadian institutionsnot available
Fundersnot available
KeywordsPortland cementInternational airportCementCivil engineeringForensic engineeringEngineeringTransport engineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

In preparation for construction of a parallel runway at the Calgary International Airport in the spring of 2011, concrete pavement had to be constructed to realign Gates A1–A10. Concrete mixes were developed for central batch production for both paver and hand placement methods. In addition, winter conditions required concrete delivery from a local concrete ready-mix supplier. The construction schedule required the paved sections to be open to aircraft traffic three weeks after pavement construction. A maturity method was developed to estimate early age compressive/flexural strength of the concrete pavement. This paper presents the process utilized in developing the concrete mix design to meet the project requirements for Cement Stabilized Base (CSB) and the Portland cement concrete mix, the development of the plant mix, and the construction methodology. Additional challenges with pavement construction in winter conditions are highlighted, including CSB and concrete placement, curing conditions, control joint construction, and instrumentation for maturity of concrete determination. The verification process for final acceptance of the product is described, including durability testing and pavement design review. This project demonstrated that concrete pavement can be constructed under accelerated schedule and during adverse weather conditions with the quality of the pavement not compromised and the construction schedule successfully managed.

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 score0.163
Threshold uncertainty score0.708

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)0.0010.000

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 head0.032
GPT teacher head0.264
Teacher spread0.232 · 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
Published2025
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Concrete PavementsSame topicConcrete and Cement Materials ResearchFrench-language works237,207