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Record W2317069098 · doi:10.3130/aijs.78.183

ULTIMATE STRENGTH AND PLASTIC DEFORMATION CAPACITY OF PIPE MEMBERS FOR SPHERICAL GRAPHITE CAST IRON UNDER FLEXURAL MOMENT

2013· article· en· W2317069098 on OpenAlex
Yoshihiro Kimura, Takayuki Yamaguchi, Tetsuo Harada, Syunto KOGA

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

VenueJournal of Structural and Construction Engineering (Transactions of AIJ) · 2013
Typearticle
Languageen
FieldEngineering
TopicMetallurgy and Material Forming
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsGraphiteCast ironMaterials scienceMachinabilityDuctility (Earth science)Deformation (meteorology)Flexural strengthComposite materialUltimate tensile strengthMetallurgyCreepMachining

Abstract

fetched live from OpenAlex

Spherical graphite cast iron is not allowed to use the structural members, because its ductility is considered to be very low. On the other hand, this iron is often used to automobile parts to have high machinability and high damping, and machined specimen of spherical graphite cast iron has high ductility. This paper investigates the possibility to apply the members such as gravity columns in the structures.In this paper, the monotonic and cyclic loading tests are performed, and the ultimate strength and plastic deformation capacity of pipe members for spherical graphite cast iron are estimated.

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 score0.231
Threshold uncertainty score0.469

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 communication0.0000.001
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 head0.180
Teacher spread0.174 · 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