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Record W4411115399 · doi:10.2749/tokyo.2025.0166

Reusability of Structural Steel Beams after Cyclic Plastic Deformation and Strain Aging

2025· article· en· W4411115399 on OpenAlex
Taichiro Okazaki, Haruka Nakagawa, Shaoqi Yang

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

VenueReport · 2025
Typearticle
Languageen
FieldMaterials Science
TopicMaterial Properties and Applications
Canadian institutionsMcGill University
Fundersnot available
KeywordsReusabilityMaterials scienceStrain (injury)Deformation (meteorology)Composite materialStructural engineeringComputer scienceEngineeringProgramming language

Abstract

fetched live from OpenAlex

<p>To establish steel reuse in seismic areas, the residual performance of hot rolled I-shapes after plastic deformation and strain aging was examined through 3 test series: (i) tension coupon tests, (ii) cyclic coupon tests, and (iii) cyclically-loaded beam tests. Each test was conducted in 2 phases: pre-loading to predetermined plastic deformation, curing at ambient temperature for 1 or 3 months, followed by loading to failure. Steel with free nitrogen content exceeding 0.006 wt% exhibited substantial strain aging. The beams in test series (iii) maintained their plastic strength to cyclic loading of ±0.04 rad as they gradually degraded in strength due to local flange and web distortion. Residual deformation of the beam was within geometric tolerances after cyclic loading to ±0.01 rad but exceeded tolerance after cyclic loading to ±0.02 rad. A scheme to estimate maximum experienced cyclic deformation based on residual deformation was further validated by numerical simulation.</p>

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 score0.701
Threshold uncertainty score0.171

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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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