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Record W1635191959

Residual stress effects on the propagation of fatigue cracks in the weld of a CA6NM stainless steel

2013· other· en· W1635191959 on OpenAlexafffund
Alexandre Trudel, Myriam Brochu

Bibliographic record

VenuePolyPublie (École Polytechnique de Montréal) · 2013
Typeother
Languageen
FieldEngineering
TopicFatigue and fracture mechanics
Canadian institutionsPolytechnique Montréal
FundersNatural Sciences and Engineering Research Council of CanadaHydro-Québec
KeywordsCrack closureMaterials scienceParis' lawWeldingResidual stressCrack growth resistance curveStress intensity factorComposite materialFracture mechanicsBase metalUltimate tensile strengthMetallurgyStress concentrationTension (geology)
DOInot available

Abstract

fetched live from OpenAlex

The fatigue crack growth behavior in an automatic flux core arc weld was investigated for stainless steel alloy CA6NM.As-welded and heat treated compact tension specimens were prepared with the crack propagation plane perpendicular to the weld.Constant stress intensity factor range tests were performed at a load ratio R = 0.1 to reveal intra-specimen fatigue crack growth rate variations and differences between the fatigue crack growth behavior of as-welded and heat treated specimens.Comparing the fatigue crack growth rate of as-welded and heat treated specimens revealed that the crack propagates at a faster rate in the as-welded specimens where indications point to the existence of tensile residual stresses acting on the crack tip by inhibiting crack closure.As for the heat treated specimens, when the crack is in the base metal, the fatigue crack growth rate decreases accompanied by an increase in crack closure levels.Tensile residual stresses that may have remained after the post-weld heat treatment and their subsequent relaxation with crack growth could explain this behavior.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.004
Threshold uncertainty score0.008

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.211
Teacher spread0.202 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2013
Admission routes2
Has abstractyes

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