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Feasibility of Using Waste Glass Sludge in Production of Ecofriendly Clay Bricks

2017· article· en· W2599078562 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

VenueJournal of Materials in Civil Engineering · 2017
Typearticle
Languageen
FieldEngineering
TopicRecycling and utilization of industrial and municipal waste in materials production
Canadian institutionsWestern University
Fundersnot available
KeywordsEfflorescenceBrickMaterials scienceDurabilityCompressive strengthFlexural strengthRaw materialWaste managementComposite materialMetallurgyEngineering

Abstract

fetched live from OpenAlex

Burnt clay bricks are commonly used in construction across the globe. The objective of this study is to explore the potential of using waste glass sludge (WGS) as a secondary material in clay brick manufacturing. WGS was collected during industrial-scale cutting and polishing of glass. Brick specimens were manufactured using various dosages (i.e., 5, 10, 15, 20, and 25% by clay weight) of WGS at an industrial brick kiln plant. A range of mechanical and durability tests were performed on the bricks thus produced to quantify their performance. Clay bricks incorporating WGS exhibited higher compressive and flexural strength as compared with that of control traditional clay bricks. The unit weight of bricks was reduced owing to WGS addition, which can lead to lighter and economical structures. Furthermore, the resistance against efflorescence, sulfate attack, and freeze-thaw was enhanced for all the clay bricks incorporating WGS. Scanning electron microscopy indicated a well-bonded and fused structure of brick specimens incorporating WGS. The findings demonstrate that WGS can enhance the physical and mechanical properties of clay bricks, leading toward more economical and sustainable construction.

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)0.002
metaresearch head score (Gemma)0.001
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 score0.422
Threshold uncertainty score0.571

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.001
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 head0.050
GPT teacher head0.287
Teacher spread0.237 · 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