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Load-Deflection Analyses of Double Wythe Unreinforced Masonry Walls

2001· article· en· W1994923515 on OpenAlexafffund
K. M. Sakr, V. V. Neis

Bibliographic record

VenueJournal of Structural Engineering · 2001
Typearticle
Languageen
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsUniversity of Saskatchewan
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsMasonryStructural engineeringDeflection (physics)Unreinforced masonry buildingFlexural strengthMasonry veneerUltimate loadFinite element methodUltimate tensile strengthFlexural rigidityStructural loadMaterials scienceGeologyGeotechnical engineeringEngineeringComposite materialPhysics

Abstract

fetched live from OpenAlex

A new analysis method for unreinforced masonry double wythe walls is developed and presented in this paper. The technique uses empirical formulas for the effective flexural rigidity of a masonry wall as obtained from a finite-element analysis of a masonry couplet. These formulas, together with equations that relate the moments in the block and brick wythes and the ties, are used in a 1D analysis of the masonry wall. The method rationally accounts for material nonlinearities, flexural tensile bond failure mechanism, type of ties, cavity width, load eccentricity, slenderness ratio, P-delta, and moisture and temperature deformation effects. The simplicity of the analysis technique is illustrated by instituting the procedure into a spreadsheet application. Complete load-deflection curves generated for some test walls compared well with the experimental data. The analysis method is accurate and extendable in predicting the ultimate load and the load-deflection relationships of masonry walls.

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 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 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 score0.020
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.018
GPT teacher head0.256
Teacher spread0.238 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

Citations3
Published2001
Admission routes2
Has abstractyes

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