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Record W2025600087 · doi:10.1533/ijcr.2004.0284

Quasi-static crushing of S-shaped aluminum front rail

2004· article· en· W2025600087 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.

fundA Canadian funder is recorded on the work.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueInternational Journal of Crashworthiness · 2004
Typearticle
Languageen
FieldEngineering
TopicCellular and Composite Structures
Canadian institutionsnot available
FundersUniversity of Waterloo
KeywordsFinite element methodStructural engineeringDeflection (physics)CrashworthinessStatic testingUltimate tensile strengthQuasistatic processAluminiumEngineeringMaterials scienceComposite materialPhysics

Abstract

fetched live from OpenAlex

Abstract Abstract A combined experimental, analytical and numerical/FEM study on the quasi-static axial crushing of thin-walled aluminum S-rails is presented. Quasi-static test was performed on S-rails with a prescribed cross-head speed 10 mm/sec. Finite element models were developed and found to reproduce the crushing response to a significant degree of accuracy with respect to the onset of collapse, the subsequent localization of plastic deformation and the overall energy absorbing capability. With the failure parameters calibrated from uniaxial tensile tests, FEM simulation can also be used to predict the fracture onset. Based on a simplified model, an analytical solution for the force-deflection response was developed, which can be applied to an early design stage of the ȁSȁ frame. Finally, the same problem was solved by means of CrashStudio and comparisons were made with some known solutions. Keywords: Quasi-static testmaterial calibrationfracturenumerical simulationanalytical solutionS-frame

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 score0.615
Threshold uncertainty score0.455

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 head0.006
GPT teacher head0.228
Teacher spread0.222 · 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