MétaCan
Menu
Back to cohort
Record W4390651376 · doi:10.46792/fuoyejet.v8i4.1023

Effect of Crumb Rubber Modified Bitumen in Hot Mix Asphalt Concrete

2023· article· en· W4390651376 on OpenAlexfundno aff
Zakari U. Farouq, Murana A. Adinoyi, Olowosulu Adekunle Taiwo, Abejide S. Olusegun

Bibliographic record

VenueFUOYE Journal of Engineering and Technology · 2023
Typearticle
Languageen
FieldEngineering
TopicAsphalt Pavement Performance Evaluation
Canadian institutionsnot available
FundersAhmadu Bello UniversityGuangxi UniversityKansas Department of TransportationUniversity of Nevada, RenoU.S. Department of TransportationUniversiti Tun Hussein Onn MalaysiaCalifornia Department of TransportationImperial Oil Limited
KeywordsCrumb rubberAsphaltMaterials scienceCompactionComposite materialRutAggregate (composite)RheologyCrackingNatural rubberFlexural strength

Abstract

fetched live from OpenAlex

Improving bituminous material using recycling waste (Crumb rubber) as modifier was emphasized in this paper. Crumb rubber (CR) waste was added by volume to the bitumen in 0, 5, and 7 %. The volumetric properties tests were conducted using the Marshall Test (ASTM D1559), others includes Characterization of Binder and Aggregate materials in HMA, (FTIR Analysis), Fundamental mechanical properties tests, also Rheological properties according with ASTM D7369-11, Dynamic Modulus Test, according with AASHTO R83-17, Rutting Test according with AASHTO T324-04, Fatigue Cracking Evaluation according with AASHTO TP124 and Flexural Beam Fatigue Beam Test according with AASHTO T 321-07. The result indicates that crumb rubber is very suitable as a modifier, with bitumen of 60/70 PEN grade. From the results, at the designed production temperature 135oC for unmodified 60/70 Bitumen, the modified admixed samples (0% and 5% CR) at the same binder content show a high void percentage for mixes (5% CR). This is an indication that the modified asphalt mixtures exhibited volumetric properties with higher voids and lower density due to change in viscosity caused by modification and requires compaction at higher temperature to be at par with regular unmodified bitumen grade. However, the air voids of mixtures fall within the specification range of 3% to 5%, and as such acceptable for use as a modifier in 60/70 PEN grade bitumen.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.083
Threshold uncertainty score0.498

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
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 head0.007
GPT teacher head0.231
Teacher spread0.225 · 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 designSimulation or modeling
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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueFUOYE Journal of Engineering and TechnologySame topicAsphalt Pavement Performance EvaluationFrench-language works237,207