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Record W2186189114 · doi:10.70803/001c.138113

Evaluation of Design Provisions for In-Plane Shear in Masonry Walls

2010· article· en· W2186189114 on OpenAlexaboutno aff
C. L. Davis, David I. McLean, Jason Ingham

Bibliographic record

VenueThe Masonry Society Journal · 2010
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMasonryShear wallShear (geology)Structural engineeringUnreinforced masonry buildingMaterials scienceGeologyEngineeringComposite material

Abstract

fetched live from OpenAlex

This research investigated current and proposed design procedures for in-plane shear in masonry walls. Procedures considered include both strength design and allowable stress design provisions in the 2008 MSJC Building Code Requirements and Specifications for Masonry Structures, the New Zealand masonry design standard NZS 4230:2004, the Canadian masonry design standard CSA S304.1-04, provisions in the 1997 Uniform Building Code, and proposed design equations developed by Shing et al. in 1990 and by Anderson and Priestley in 1992. Predicted shear strengths from the various procedures were compared with results from a wide range of tests of masonry walls failing in in-plane shear. The test data encompassed both concrete masonry walls and clay masonry walls, all of which were fully grouted. Statistical analyses were performed to compare the overall effectiveness of each set of provisions or proposed equation. Parametric studies were also performed to evaluate the ability of the provisions and equations to account for the effects of specific parameters. The current MSJC strength design provisions were found to provide the best shear predictions over a wide range of wall parameters. Based on the results of this study, recommendations are made to improve the current MSJC strength design and allowable stress design provisions.

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)0.009
metaresearch head score (Gemma)0.021
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.009
Threshold uncertainty score0.050

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0090.021
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0020.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.026
GPT teacher head0.261
Teacher spread0.236 · 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

Citations15
Published2010
Admission routes1
Has abstractyes

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