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Record W637328443 · doi:10.4224/20374664

Development of apparent viscosity test for hot-poured crack sealants

2010· article· en· W637328443 on OpenAlexvenueno aff
Imad L. Al‐Qadi, Eli H Fini, Jean‐François Masson, Amara Loulizi, Kevin K. McGhee

Bibliographic record

VenueNPARC · 2010
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsSealantMaterials scienceViscometerViscosityComposite materialForensic engineeringEngineering

Abstract

fetched live from OpenAlex

This report focuses on the development of the apparent viscosity test method. This test uses a modified version of the Brookfield rotational viscometer. Based on the results of this study, the measured apparent viscosity of hot-poured crack sealant using SC4-27 spindle at 60rpm (20.4s-1) at the recommended installation temperature was determined to be reasonably representative of sealant viscosity at shear rates resembling field application. To ensure measurement consistency and stability, a 20min melting time and a 30-s waiting time prior to data collection are recommended. To establish precision and bias for the test, a round robin testing was conducted among seven laboratories. Average coefficient of variation within and between laboratories was found to be 2% and 6%, respectively. Using the data from the round robintesting, and based on ASTM precision and bias standard (ASTM practices C802 and C670), maximumpermissible differences within a laboratory and between laboratories were found to be 4.6% and 16.9%.Considering the high polymer or crumb rubber content in crack sealants and sealant temperature sensitivity, the repeatability and reproducibility of the developed test is within an acceptable range. These values arecomparable to those of asphalt binder: 3.5% and 14.5% based on ASTM D4402-02 and 3.5% and 12.1% based on AASHTO 2006 T316.

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)0.000
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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.192
Threshold uncertainty score0.367

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 head0.021
GPT teacher head0.263
Teacher spread0.242 · 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.

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

Citations4
Published2010
Admission routes1
Has abstractyes

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