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Record W4381744680 · doi:10.4050/f-0079-2023-18161

Finite Element Analysis and Test of a Sharp Radius on the Shank of a Ring Locked Stud

2023· article· en· W4381744680 on OpenAlexaff
Lin Liu, David Binney

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsLockheed Martin (Canada)
Fundersnot available
KeywordsRADIUSFinite element methodStructural engineeringStress (linguistics)Point (geometry)Materials scienceMechanicsEngineeringMathematicsComputer sciencePhysicsGeometry

Abstract

fetched live from OpenAlex

This paper is an expansion on a prior paper in which the authors detailed an analytical approach to determining the effect of a sharp radius on the fatigue life of a ring locked stud. Fatigue testing of several studs has since been completed and the test results are compared with analytical predictions. Using the stresses determined by a validated finite element (FE) model, three methods of life calculation, stress life, strain life, and the theory of critical distances (TCD) point method, are evaluated in light of the test results. The stress life method is found to be inapplicable since there is no reliable Kf data for the high Kt levels in question. Strain life results are conservative relative to the test. The TCD may provide more accurate life results without the conservatism of strain life, but current test results do not support its use. The idea that small non-propagating cracks may exist at the sharp radius, below some threshold of alternating stress, is also discussed. In addition, the test program revealed that the installation depth of studs can potentially affect their fatigue strength.

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 score0.099
Threshold uncertainty score0.288

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
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 head0.014
GPT teacher head0.223
Teacher spread0.209 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

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