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Record W4415621934 · doi:10.1080/14680629.2025.2578240

Investigation of bottom-up pavement fatigue damage around an idealised transverse crack during an APT campaign

2025· article· en· W4415621934 on OpenAlexaffabout
Youness Berraha, Michel Vaillancourt, Guy Doré, Jean-Pascal Bilodeau, Daniel Perraton

Bibliographic record

VenueRoad Materials and Pavement Design · 2025
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsUniversité LavalÉcole de Technologie Supérieure
Fundersnot available
KeywordsTransverse planeFatigue testingFatigue crackingAsphaltFracture mechanics

Abstract

fetched live from OpenAlex

A full-scale study was conducted at Université Laval's indoor accelerated pavement facility in order to document the mechanical behaviour of a flexible pavement structure affected by an idealised transverse crack. The constructed pavement structure was subjected to different temperature conditions and loading repetitions using the Accelerated Transportation Loading System (ATLaS). Various sensors, in particular strain gauges, were embedded at precise positions around the idealised crack. The paper presents the methodology undertaken, and a comparison of longitudinal strains measured in the reference area to measurements around the crack. The study demonstrated that a transverse crack fundamentally alters longitudinal strain and bottom-up fatigue damage patterns compared to uncracked sections, leading to accentuated bottom-up cracking at a distance from the crack.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.033
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.049
GPT teacher head0.273
Teacher spread0.224 · 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.

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 routes2
Has abstractyes

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