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Record W4386786647 · doi:10.1080/13588265.2023.2258640

Influence of material strain hardening on energy absorption of axially loaded steel tubular members via first wrinkling mechanism

2023· article· en· W4386786647 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.

Bibliographic record

VenueInternational Journal of Crashworthiness · 2023
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsDalhousie University
Fundersnot available
KeywordsHingePlastic hingeAxial symmetryMaterials scienceStrain hardening exponentStructural engineeringHardening (computing)Composite materialInstabilityMechanicsEngineeringPhysics

Abstract

fetched live from OpenAlex

Experimental investigations have revealed that the crushing response of axially loaded tubular metallic members changes significantly depending on the strain-hardening capacity of the material. In this paper, the post-yield response of axially loaded stainless-steel and mild-steel tubes are examined under quasi-static loading from the perspective of deformation-controlled and force-controlled collapse mechanisms. The rotational instability of the plastic hinges developed along the tubes is traced numerically by considering an isolated plastic hinge model selected at the critical length of the tubes’ shell. The characteristics of the hinges are probed using the moment-rotation diagrams. The stress profiles in the critical region of the tubes at various loading states are investigated. It is observed that the tubes’ stability and energy absorption capacity are significantly dependent on the strain-hardening capacity of the material exploited during the formation of the plastic hinges.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score0.700

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.007
GPT teacher head0.222
Teacher spread0.215 · 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