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Experimental Study on the Effect of Strain Cycles on Mechanical Properties of AISI 1022 Steel

2010· article· en· W1535703544 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

VenueStrain · 2010
Typearticle
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsWestern UniversityUniversity of Windsor
Fundersnot available
KeywordsMaterials scienceDuctility (Earth science)ToughnessDrop (telecommunication)Composite materialStrain (injury)PlasticityFracture toughnessTension (geology)Structural engineeringUltimate tensile strengthCreepEngineering

Abstract

fetched live from OpenAlex

Abstract: The effect of cyclic loading on various mechanical properties of AISI 1022 steel was investigated in this study using laboratory‐based experimental method. Groups of specimens were tested in push‐pull strain‐controlled cyclic loading. Some of these specimens were tested to failure in pure fatigue tests. For the remaining specimens, cyclic loading tests were terminated at a specific number of cycles and these specimens were then tested to failure in quasi‐static tension. It was found that the strength increased, while the ductility and toughness decreased because of applications of strain cycles. As reduction in ductility weakens plastic strain resistance, and drop in toughness reduces resistance to fracture of this steel, the quasi‐static mechanical behaviour is expected to change as a consequence of application a certain number of strain cycles. This study therefore suggests that these changes in mechanical properties have to be contemplated in the associated design processes.

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: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.396

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 head0.018
GPT teacher head0.245
Teacher spread0.226 · 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