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Record W2552321961

EVALUATION OF THE ENVIRONMENTAL, MATERIAL, AND STRUCTURAL PERFORMANCE OF RECYCLED AGGREGATE CONCRETE

2015· dissertation· en· W2552321961 on OpenAlex
Katherine Michaud

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueQSpace (Queen's University Library) · 2015
Typedissertation
Languageen
FieldEngineering
TopicRecycled Aggregate Concrete Performance
Canadian institutionsnot available
Fundersnot available
KeywordsAggregate (composite)Civil engineeringEnvironmental scienceEngineeringMaterials scienceComposite material
DOInot available

Abstract

fetched live from OpenAlex

Concrete is the most commonly used building material in the construction industry, and contributes to 52% of construction and demolition waste in Canada.Recycled concrete aggregate (RCA) is one way to reduce this impact.To evaluate the performance of coarse and granular (fine and coarse) RCA in structural concrete applications, four studies were performed: an environmental assessment, a material testing program, a shear performance study, and a flexural performance study.To determine the environmental benefits of recycled aggregate concrete (RAC), three case studies were investigated using different populations and proximities to city centres.Environmental modelling suggested that RCA replacement could result in energy savings and greenhouse gas emission reductions, especially in remote areas.Tests were performed to determine if the volumetric replacement of up to 30% coarse RCA and 20% granular RCA is suitable for structural concrete applications in Canada.Fresh, hardened, and durability properties were evaluated.All five (5) of the RCA mixes showed equivalent material performance to the control mixes and met the requirements for a structural concrete mix.The five (5) RAC mixes were also used in structural testing.One-way reinforced concrete slab specimens were tested to failure to evaluate the shear and flexural performance of the RAC members.Peak capacities of and crack formation within each member were analyzed to evaluate the performance of RAC compared to conventional concrete.The shear capacity of specimens made from four (4) of the five (5) RAC mixtures was higher or equivalent to the control specimens.Specimens of the concrete mixture containing the highest content of recycled aggregate, 20% volumetric replacement of granular RCA, had shear capacities 14.1% lower, and exhibited cracking at lower loads than the control.The average flexural capacities of all RAC specimens were within 3.7% of the control specimens.Results from this research provide evidence that up to 30% coarse recycled concrete aggregate and 10% granular recycled aggregate may be incorporated into structural concrete mixtures without iii altering the behaviour of the structure.Concrete containing 20% volumetric replacement of the natural aggregate with granular RCA should be designed with special consideration of the shear performance.This research was performed under the guidance and supervision of Dr. Neil Hoult.Without his knowledge and continual guidance, this project would not have been possible.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.632
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 communication0.0000.001
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 head0.183
Teacher spread0.176 · 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