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Record W3014740614 · doi:10.1061/9780784482896.024

Durability Properties of Mortar Overlays with Glass Aggregates

2020· article· en· W3014740614 on OpenAlex

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

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicRecycled Aggregate Concrete Performance
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsDurabilityMortarOverlayMaterials scienceComposite materialComputer scienceProgramming language

Abstract

fetched live from OpenAlex

Sustainable building materials are the future of the construction industry. Specifically, eco-friendly cementitious materials that are mechanically sound and durable are desired as the majority of the world’s infrastructure, including roads and bridges, are made with concrete. Since the durability of cementitious materials can greatly affect the performance of a structure, it is important to evaluate the properties of these new materials. In this study, cement mortar overlays containing recycled glass aggregates were investigated. Particularly, the focus of this study was to determine the benefits of using glass in reducing early-age cracking of mortar overlays. The rate of plastic shrinkage crack formation and overall crack area was quantified for specimens subjected to set environmental conditions. In addition, the rate of absorption, which influences the serviceability and structural performance of a structure, was also evaluated. The findings of the experimental study suggest that glass aggregates are effective in reducing the rate of crack formation by 98% when full glass replacement is used. Furthermore, at full glass replacement, the initial and secondary rate of absorption was found to decrease by 31% and 63%, respectively.

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)0.000
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 score0.145
Threshold uncertainty score0.384

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 head0.015
GPT teacher head0.161
Teacher spread0.145 · 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

Quick stats

Citations1
Published2020
Admission routes1
Has abstractyes

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