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Record W388655784

Characterization of Unmodified and SBR Latex-Modified Evotherm(tm) Warm Mix Binder

2007· article· en· W388655784 on OpenAlexaboutno aff
J K Davidson, Chris Lubbers, Kenta Takamura

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsAsphaltCompactionMaterials scienceComposite materialEmulsionAsphalt pavementService lifeRheologyAggregate (composite)Chemical engineeringEngineering
DOInot available

Abstract

fetched live from OpenAlex

The Evotherm(r) warm mix process developed by MeadWestvaco is the direct substitution of asphalt binder with a cationic asphalt emulsion. Field trials by McAsphalt in Canada have demonstrated a 30 deg C and 60 deg C reduction in the mixing and compaction temperatures, respectively, when compared to conventional hot mix using the same aggregate and asphalt. A procedure to recover the representative emulsion residue for the Evotherm(r) warm mix system was developed. Here, approximately 80g of Evotherm emulsion is poured into a Thin-Film Oven Test (TFOT) pan and dried in a forced air oven at 80 deg C for 20 hours. Results of conventional and Superpave binder characterization testing demonstrate that the recovery procedure developed here closely simulates the heat history that the Evotherm emulsion is exposed to during mixing and paving in the field and further indicate that pavement constructed using unmodified Evotherm warm mix binder after 10-15 years of in-service life would be as flexible as freshly-placed conventional hot mix pavement. The polymer network formed in the SBR latex-modified Evotherm residue does not prevent oxidation of the asphalt binder, but rather reduces the net effect of undesired changes in rheological properties of the asphalt binder upon age or oxidative hardening. Thus, modification with SBR latex polymer is expected to further prolong the service life of the Evotherm warm mix asphalt pavement. (A) For the covering abstract of this conference see ITRD number E220283.

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 score0.395
Threshold uncertainty score0.432

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 head0.016
GPT teacher head0.240
Teacher spread0.224 · 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

Citations3
Published2007
Admission routes1
Has abstractyes

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