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Record W7061624357

Research in Progress: Ensuring Long-Term Performance of Concrete Pavements, TPF-5(517), 2025

2025· other· en· W7061624357 on OpenAlexaboutno aff

Bibliographic record

VenueIowa Publications Online (State Library of Iowa) · 2025
Typeother
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsSoftware deploymentDurabilityCementitiousField (mathematics)Acceptance testingKey (lock)
DOInot available

Abstract

fetched live from 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.

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), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: Other
Teacher disagreement score0.489
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0910.000

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 head0.031
GPT teacher head0.333
Teacher spread0.302 · 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 designNot applicable
Domainnot available
GenreOther

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 routes1
Has abstractyes

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