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Record W4394746533 · doi:10.62913/engj.v47i4.994

Prediction of Bolted Connection Capacity for Block Shear Failures along Atypical Paths

2010· article· en· W4394746533 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueEngineering Journal · 2010
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsAecom (Canada)University of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsShear (geology)Structural engineeringBlock (permutation group theory)Connection (principal bundle)Direct shear testPath (computing)Shear strength (soil)EngineeringMathematicsGeologyGeotechnical engineeringComputer scienceGeometry

Abstract

fetched live from OpenAlex

Failure modes such as bolt tear-out and the so-called alternate block shear path observed in tees are closely related to the classical block shear limit state, but they have not been addressed as such in current design specifications in North America. In previous work conducted at the University of Alberta, a unified block shear equation was proposed that provides accurate test-to-predicted block shear capacity ratios and results in consistent reliability indices over a variety of connection types. A total of 104 specimens that failed in bolt tear-out and 14 tees that failed on the alternate block shear path are considered from the literature, along with 12 new bolt tear-out tests conducted as part of this research program. It is shown that the unified block shear equation provides accurate and consistent results for these failure modes as well.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.461
Threshold uncertainty score0.618

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 communication0.0000.000
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 head0.010
GPT teacher head0.187
Teacher spread0.178 · 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