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Record W7049112830

Mechanical characterization of modern concrete masonry elements

2025· dissertation· en· W7049112830 on OpenAlexaff

Bibliographic record

VenueeScholarship@McGill (McGill) · 2025
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsMcGill University
Fundersnot available
KeywordsMasonryCharacterization (materials science)Deformation (meteorology)Relation (database)
DOInot available

Abstract

fetched live from OpenAlex

As the demands for sustainable construction practices grows, the durability of modern concrete masonry components such as loadbearing concrete blocks and metal wall ties in cavity wall systems becomes increasingly critical.This paper investigates the mechanical properties of hollow concrete masonry specimens and their interaction with cavity wall ties given that certain aspects of the compressive behaviour of concrete block masonry and ties are under-researched.There is especially limited data on the compressive strength relationship between the bond pattern and size effects of masonry block assemblies.Also, there is a need to further explore the loading on varying lengths of modern adjustable wall ties due to the trend for wider wall cavities that serve to promote better insulation and mitigate the predicted variations in temperatures due to climate change.The study will explore uniaxial compression testing of concrete masonry consisting of variations in height bonding patterns (stack and running bond), as well as the evaluation of adjustable wall ties at different lengths and varying positions under tension and compression loads.These tests will conform to, among others, the guidelines highlighted in CSA S304-14 (Design of masonry structures) and CSA A370-14 (Connectors for masonry).By examining both the compressive strength of masonry block specimens and the load-resistance capabilities of wall ties, this research aims to enhance the understanding of the individual component properties, and the resulting combined effects found in masonry structures.This study is part of a larger research project at McGill University on implications from climate change and resilience of materials in structural design.These findings could potentially influence and support updates to CSA standards and provide manufacturers with valuable knowledge to enhance product performance and durability.Ultimately, this study aims to fortify concrete masonry elements against environmental challenges, advancing sustainable construction practices and contributing to the evolution of masonry construction materials.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.002
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.014
GPT teacher head0.256
Teacher spread0.242 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations0
Published2025
Admission routes1
Has abstractyes

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