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Record W4247268128 · doi:10.3166/rmpd.11.725-744

Repeated Loading and Unloading Tests of Asphalt Binders and Mixes

2010· article· en· W4247268128 on OpenAlexaff
Thamindra Wasage, Jiri Statsna, Ludo Zanzotto

Bibliographic record

VenueRoad Materials and Pavement Design · 2010
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsAsphaltCreepViscoelasticityRutMaterials scienceRheologyAsphalt concreteDeformation (meteorology)Structural engineeringAsphalt pavementGeotechnical engineeringComposite materialEngineering

Abstract

fetched live from OpenAlex

Repeated creep and repeated load permanent deformation tests were performed on asphalt binders and mixes. The repeated creep test method was proposed as a new method for the evaluation of the ability of modified asphalt binders to maintain their elastic response; and the suitability of this test method for evaluation of asphalt pavements was studied. Rheological modeling with linear and nonlinear viscoelastic models was applied to describe the material behavior. The second test method, known as the repeated load permanent deformation test, was proposed by the United States National Cooperative Highway Research Program (NCHRP) as one of the Simple Performance Test (SPT) candidates for asphalt mix testing. The effects of loading, material (conventional base asphalt and polymer modified asphalt) and the number of cycles were investigated. The capability of the Universal Testing Machine (UTM) to produce haversine pulse loading and the resulting responses were investigated. The ability of viscoelastic theory to describe the asphalt mix behavior under this testing was studied.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.022
GPT teacher head0.241
Teacher spread0.219 · 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 source (direct Gemma or distilled Codex), 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

Citations3
Published2010
Admission routes1
Has abstractyes

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