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Record W1991329182 · doi:10.1520/jai10933

Flexible Crumb Tire Rubber-Filled Cement Mortars as a Protective System for Buried Infrastructure

2005· article· en· W1991329182 on OpenAlexaff
Moncef L. Nehdi, A Khan, J.R. Sumner

Bibliographic record

VenueJournal of ASTM International · 2005
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsWestern University
Fundersnot available
KeywordsCrumb rubberMaterials scienceCementNatural rubberComposite materialMortar

Abstract

fetched live from OpenAlex

Abstract Due to population growth and urban congestion, the space available for the development of public infrastructure is sharply decreasing. Engineers are therefore resorting to the efficient use of underground space, which involves the construction of tunnels and other underground structures. Many such projects will be located in rock/soil with time-dependent behavior or under high overburden pressure. Thus, under such stress conditions, there may be a need for a deformable supporting system that can serve as a buffer layer to protect tunnel linings from time-dependent deformations of the excavated rock/soil. This paper investigates the use of cement mortars containing crumb recycled tire rubber to develop a flexible interface material for such applications. The effects of the w/c ratio, rubber content, and particle size on the mechanical properties of rubber filled mortars were studied using uniaxial and triaxial compression tests. A statistical factorial experimental plan was designed to obtain response surfaces for the parameters under study. A model tunnel was made, instrumented, and tested in a specially designed pressure cell under hydrostatic pressure to investigate the effect of using flexible rubber-filled mortar layers around tunnel linings on the development of stresses. The findings of this research suggest that cement mortars containing crumb tire rubber have superior ductility and may be used to accommodate deformations around tunnel linings, pipelines, and other buried infrastructure.

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 categoriesInsufficient payload (model declined to judge)
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 score0.346
Threshold uncertainty score1.000

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)0.0010.000

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 head0.008
GPT teacher head0.248
Teacher spread0.240 · 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.

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

Citations5
Published2005
Admission routes1
Has abstractyes

Explore more

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