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Enregistrement W4393303737 · doi:10.31274/td-20240329-460

Investigation of the low-temperature cracking performance of field-produced asphalt mixture in the state of Iowa

2022· dissertation· en· W4393303737 sur OpenAlexaboutno aff
Joyce Wairimu Kamau

Notice bibliographique

Revuenon disponible
Typedissertation
Langueen
DomaineEngineering
ThématiqueAsphalt Pavement Performance Evaluation
Établissements canadiensnon disponible
Organismes subventionnairesIowa State University
Mots-clésCrackingAsphaltMaterials scienceComposite materialAsphalt concreteUltimate tensile strengthGeotechnical engineeringForensic engineeringEngineering

Résumé

récupéré en direct d'OpenAlex

Low-temperature cracking, also known as thermal cracking, is the most common pavement distress found in asphalt pavements in regions experiencing cold climates such as the Northern United States and Canada. Low-temperature cracking manifests as surface-initiated transverse cracks of various lengths and widths on the pavement. Low-temperature cracking occurs because of high thermal-induced tensile stresses buildup, which causes cracking when they exceed pavement tensile strength. These cracks may lead to water infiltration into the underlying pavement layers and air permeability, thus oxidation of the binder and therefore loss of pavement integrity and reduced pavement life. The loss of pavement integrity leads to decreased ride quality for road users and increased rehabilitation and maintenance costs. The federal government has encouraged the use of recycled material during pavement construction. Thus, specifications have been developed to accommodate the use of recycled materials. For low-temperature cracking, most departments of transportation (DOT) have established low-temperature cracking tests to be carried out where recycled asphalt pavement (RAP) binder exceeds 25% of the total asphalt in an asphalt mix design to characterize mixtures for long-term pavement performance. 400 J/m2 , Disk-Shaped Compact Tension (DCT) test and Semicircular Bend tests (SCB), fracture energies have been set as the minimum fracture energy values in the specifications. DCT and SCB fracture energy is the parameter that is often used to show the fracture resistance or low temperature cracking performance of asphalt mixtures. The test specimens for SCB are easy to fabricate and reproduce using either 150mm diameter field-cored asphalt concrete or 150mm diameter standard laboratory compacted samples. SCB has been used to evaluate the factors that affect fracture energy, estimate fatigue cracking using the fracture toughness, and determine testing configuration effect in SCB fracture of asphalt mixtures. The Iowa DOT uses the DCT test as a criterion for the low-temperature cracking performance of asphalt mixtures. The minimum Gf values for these criteria are 400J/m2, 460J/m2, and 690J/m2 for traffic levels of Standard Traffic (ST), Heavy Traffic (HT), and Very Heavy Traffic (VT), respectively. However, the DCT test is only carried out when binder replacement exceeds 30% for mixtures containing only RAP or 25% for mixtures containing asphalt binder from recycled asphalt shingles. Good fracture properties of pavement for long-term performance can be achieved by understanding the current mixtures' fracture properties and relating to the performance. Characterizing the mixture can help produce a durable mix and prediction of the performance for cracking prevention and developing maintenance measures. This research aims to evaluate low-temperature cracking of the field-produced asphalt mixture in the State of Iowa, with the intention to understand these mixtures' resistance to low-temperature cracking. Ten different field-produced asphalt mixtures from projects paved between 2013 and 2018 were evaluated. These mixtures were reheated for two hours and were laboratory compacted using a gyratory compactor to produce specimens with 150 mm diameter and a height of approximately 50 mm. DCT testing was carried out following ASTM D7313-13, and SCB tests were carried out as specified by AASHTO TP 105-13 to determine the fracture energies of the compacted samples. The I-FIT Illinois test procedure 405 was used for testing at intermediate temperatures to obtain the flexibility index (FI). Fracture energies were used to rank the laboratory cracking resistance of the mixtures and correlation to the field performance of the mixtures. Effect of percent binder replaced on the mixtures fracture energies and the flexibility index was evaluated. The ten mixes have fracture energy values ranging from 265.25j/m2 to 470j/m2 for the DCT, with most of them not meeting the fracture energies for the designed level of traffic. Additionally, the mixtures had average SCB fracture energy ranging from 485 J/m2 to 905 J/m2. The flexibility index obtained for the mixtures ranged from 8.36 to 23.32. The fracture energy and the flexibility index indicate a good overall crack resistance. The correlation between binder replaced and the fracture energies showed a negative correlation. However, only 12.3% of the variability is explained. The specification on the need for a DCT test should be revised to state that the test is required when the asphalt binder replacement exceeds 15% for mixtures with RAP and RAS, rather than the current value of 30% and 25% binder replacement.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction machine sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,034
Score d'incertitude au seuil0,067

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0010,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,010
Tête enseignante GPT0,240
Écart entre enseignants0,230 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2022
Routes d'admission1
Résumé présentoui

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