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Enregistrement W7052455518

Research Solutions: Ensuring Long-Term Performance of ConcretePavements, TPF-5(517), 2025

2025· other· en· W7052455518 sur OpenAlexaboutno aff

Notice bibliographique

RevueIowa Publications Online (State Library of Iowa) · 2025
Typeother
Langueen
DomaineEngineering
ThématiquePlasma Diagnostics and Applications
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésSoftware deploymentDurabilityCementitiousField (mathematics)Acceptance testingKey (lock)Road construction
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Concrete for pavements has historically been specified and field controlled around acceptance criteria that do not relate well to durability (slump, air content, strength). Paving concrete specifications need to be built upon engineering properties that directly relate to good field performance. With the recent advancements in research knowledge on failure mechanisms, and the paralleled development of better tests, this is possible. A review of many current and new specifications has found that they are still largely based on strength, slump, and air, which provide limited correlation with the mechanisms of pavement failure currently observed. The need for change in the way we specify concrete, especially concrete for paving mixtures, is becoming increasingly apparent as mixtures become more complex with a growing range of chemical admixtures and supplementary cementitious materials. Traffic loadings continue to increase, more aggressive winter maintenance practices are implemented, and demand increases to build systems more quickly, cheaply, and with increased longevity. The Federal Highway Administration, through their Cooperative Agreement with the National Concrete Pavement Technology Center, has been working with the 30 member-state departments of transportation of the National Concrete Consortium to identify the specification approach and key testing technologies that are needed for paving concrete to have increased durability, including in the presence of wet freeze thaw and winter deicing materials. The testing technologies have been developed, and the next critical activities are deployment of the new testing technologies, development of practical specifications and QA/QC recommendations, and correlating specification limits with durable field performance. It is proposed that a TPF supported financially and technically by FHWA, DOTs, and industry be advanced as the best approach to accelerating the implementation and benefits associated with durability based specifications. To date two significant milestones have been accomplished: 1. During the late summer of 2015 and the 2016 paving season, agencies (Illinois, Indiana, Iowa, Nebraska, Michigan, Minnesota, Wisconsin, South Dakota, Manitoba, and the Illinois Tollway) have started using and evaluating new testing technologies that support the design and testing of performance engineered concrete paving mixtures (PEMs). 2. A proposed AASHTO provisional specification and commentary has been submitted for balloting by the member states. The specification seeks to provide agencies with the tools to prepare a specification for concrete mixtures for pavements that moves closer to measuring and basing acceptance on the parameters that are truly critical to the long-term performance of the system. The commentary is provided to support each relevant section of the specification to provide background information and the rationale behind the recommended approach. Discussion is provided in this commentary regarding how desired performance requirements are typically sought in a prescriptive specification for comparison between the recommendations in this document and current practice. It is recommended that mixing performance and prescriptive approaches be avoided, to the degree possible, because of the risk of making it impossible to meet all of the demands on the system. The intent of this TPF is to build upon these two critical steps and provide technical assistance and training to participants, validate the AASHTO provisional specification based upon actual field performance, and continue the developmental work of measuring and relating early age concrete properties to pavement performance.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Autre · Signal consensuel: Autre
Score de désaccord entre enseignants0,050
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0020,002
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,001
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 Opus0,036
Tête enseignante GPT0,292
Écart entre enseignants0,256 · 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 tête enseignante, pas un consensus.

Devis d'étudeSans objet
Domainenon disponible
GenreAutre

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
Publié2025
Routes d'admission1
Résumé présentoui

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