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Record W4407986324 · doi:10.1016/j.treng.2025.100312

Effect of aging kinetics on the fatigue behavior of asphalt mixtures incorporating various RAP contents

2025· article· en· W4407986324 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueTransportation Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsÉcole de Technologie Supérieure
Fundersnot available
KeywordsAsphaltKineticsMaterials scienceComposite materialPhysics

Abstract

fetched live from OpenAlex

• New method proposed to assess RAP binder mobilization. • RAP addition reduces thermal susceptibility during aging compared to virgin mixes. • As aging progresses, the stiffness modulus of AC containing RAP reaches a plateau. • Using RAP at appropriate content enhances the fatigue behavior of AC. • AC with RAP needs a higher compression load to reach the same strain as virgin AC. Aging significantly impacts the mechanical performance of asphalt mixtures, particularly in terms of fatigue resistance. Although several studies have investigated the fatigue behavior of asphalt mixtures with and without reclaimed asphalt pavement (RAP), limited research has studied the effect of aging kinetics on the fatigue resistance of asphalt mixtures containing RAP. This study investigates the impact of aging kinetics on the fatigue performance of asphalt concrete (AC) incorporating various RAP contents (0%, 20%, and 40%). All asphalt mixtures were subjected to short-term (STA) and long-term aging (LTA). The stiffness of asphalt mixtures was measured at 15°C and 20°C using the Indirect Tensile Stiffness Modulus (ITSM) test. The effect of aging on the stiffness was evaluated through the Aging Modulus Ratio (AMR). Fatigue performance was estimated using the Indirect Tensile Fatigue Test (ITFT) at 20°C. Recovered binders from AC were characterized using penetration, softening point, and Dynamic Shear Rheometer tests. A new method, comparing mixing rule predictions with real measured binder properties, confirmed full blending between virgin and RAP binders. The mechanical results indicate that the stiffness modulus increased significantly after both short and long-term aging for all mixtures, irrespective of RAP content. Additionally, reclaimed asphalt pavement addition increased the asphalt mixture stiffness for a given aging level. The asphalt mixture with 40% RAP showed greater resistance to aging based on AMR values. Furthermore, reclaimed asphalt pavement addition improved the fatigue performance of asphalt mixtures.

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.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.646
Threshold uncertainty score0.586

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 head0.013
GPT teacher head0.256
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