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Record W2069306166 · doi:10.1115/imece2005-82333

S-Rail Sled Testing With Deceleration Sled

2005· article· en· W2069306166 on OpenAlexaff
Robert R. Mayer, Scott R. Webb, Joe McCleary, Ruth Gusko, D. A. Oliveira, Michael J. Worswick

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTransportation Safety and Impact Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCrashworthinessStructural engineeringBendingRADIUSRotation (mathematics)AccelerationTube (container)Bending momentEngineeringMechanical engineeringMechanicsComputer scienceMaterials sciencePhysicsFinite element method

Abstract

fetched live from OpenAlex

This paper considers the effects of rotary draw bending on structural crashworthiness. We impacted tested aluminum alloy tubes in s-rail bending, using either 2.0 mm or 3.5 mm thickness, and bend radius of either 152.4 mm or 191 mm. This report documents and summarizes the test setup using the GM R&D Deceleration Sled to achieve this, with emphasis on later correlation with numerical simulation. Theoretical and numerical analyses were used to help with design setup. Forces and moments found in the tests were very consistent, suggesting good test setup design. We also found that using the longest tube section at the constrained end prevents inboard rotation and contact between the two s-rails.

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 score0.298
Threshold uncertainty score0.531

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 integrity0.0000.000
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 head0.010
GPT teacher head0.180
Teacher spread0.170 · 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
Published2005
Admission routes1
Has abstractyes

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