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Record W2979359685 · doi:10.1080/21650373.2019.1676839

Effects of long shredded rubber particles recycled from waste tires on mechanical properties of concrete

2019· article· en· W2979359685 on OpenAlexaff
Kumari Bandarage, Pedram Sadeghian

Bibliographic record

VenueJournal of Sustainable Cement-Based Materials · 2019
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsDalhousie University
Fundersnot available
KeywordsNatural rubberScrapMaterials scienceAggregate (composite)Composite materialCompressive strengthSieve (category theory)Elastic modulusMetallurgyMathematics

Abstract

fetched live from OpenAlex

The goal of this research is to study the mechanical properties of recycled rubber particles extracted from scrap tires in concrete to introduce a sustainable waste management system and subsequently to reduce the use of non-renewable resources in concrete. In this paper, fine aggregates of concrete are partially replaced (up to 50% by volume of fine aggregate) with recycled long shredded rubber particles mainly smaller than sieve #4 in size. Concrete cylinders with different proportion of rubber are prepared and tested under compression. Also, specimens without rubber are prepared and tested as control specimens. The compressive strength, elastic modulus, and stress-strain curves of the specimens are analyzed to characterize the behaviour of concrete with recycled long shredded rubber particles. The results showed that the rubber weakened the compressive strength and elastic modulus of concrete. Empirical equations are also proposed to account the effect of rubber content on the mechanical properties.

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 score0.002
Threshold uncertainty score0.819

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.007
GPT teacher head0.198
Teacher spread0.191 · 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

Citations26
Published2019
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Sustainable Cement-Based MaterialsSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207