MétaCan
Menu
Back to cohort
Record W4410385858 · doi:10.70803/001c.138228

Effect of Height-to-Thickness Ratio on Compressive Strength of Masonry

2014· article· en· W4410385858 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.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueThe Masonry Society Journal · 2014
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsMasonryCompressive strengthMaterials scienceComposite materialGeologyStructural engineeringGeotechnical engineeringEngineering

Abstract

fetched live from OpenAlex

A prism is a representative combination of masonry materials which is tested in compression to determine the specified compressive strength of masonry, f’m. This strength is then used in designing a masonry structure or testing compliance of f’m. Canadian standard CSA S304.1-04 suggests using prisms with a height-to-thickness ratio of five for determining the specified compressive strength, without the need for correction. For convenience, prisms with smaller height-to-thickness ratios are often used. Hence, Table D.1 of the Canadian standard provides correction factors to accurately estimate the specified compressive strength when prisms with smaller height-to-thickness ratio are used. According to this table, the correction factor for hollow concrete masonry construction does not change even if the height-to-thickness ratio changes in the range of three to five. Further, for grouted masonry, conflicting values for the correction factors are reported by various researchers. Hence, this study was completed to revisit the corrections factors recommended for concrete masonry in Table D.1 of Canadian standard CSA S304.1.

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)0.001
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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.120
Threshold uncertainty score0.580

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.005
GPT teacher head0.213
Teacher spread0.208 · 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