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Influence of Carbon Black on Storage Stability of HDPE-SBS Modified Asphalt

2011· article· en· W2040651922 on OpenAlex
Xiao Wu, Dong Wei Cao, Haiyan Zhang

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

VenueAdvanced materials research · 2011
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsMinistry of Transportation of Ontario
FundersChina University of Petroleum, Beijing
KeywordsHigh-density polyethyleneMaterials scienceAsphaltComposite materialComposite numberPolyethyleneSoftening pointCarbon blackStyrene-butadieneFiller (materials)Melting pointStyreneNatural rubberPolymerCopolymer

Abstract

fetched live from OpenAlex

In order to avoid the phase separation of the high density-polyethylene modified asphalt, a composite material modifier was prepared in the melt blending process with High density-Polyethylene (HDPE) and Styrene-butadiene-styrene (SBS) and a filler of Carbon black (CB). The storage stability of composite material (HDPE-SBS) modified asphalt was investigated by hot storage stability test and optical microscopic observation. The storage-stable mechanism of HDPE-SBS modified asphalt was analyzed also. The experimental results indicated that the difference of the softening point after storing at high temperature for 48h was very small. Micrographs of HDPE-SBS modified asphalt demonstrated that HDPE-SBS composite modifier particles dispersed uniformly and compactly and there were no obvious phase separations in the modified asphalt within a certain CB content range.

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)0.002
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 score0.078
Threshold uncertainty score0.583

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 head0.103
GPT teacher head0.347
Teacher spread0.244 · 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