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Record W4306874573 · doi:10.1139/tcsme-2022-0028

Ultimate strength analysis of pitted plates with transverse cracks

2022· article· en· W4306874573 on OpenAlex
Ahmad Rahbar Ranji, Farzaneh Ahmadi, Shahpour Alirezaee

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.
venuePublished in a venue whose home country is Canada.

Bibliographic record

VenueTransactions of the Canadian Society for Mechanical Engineering · 2022
Typearticle
Languageen
FieldEngineering
TopicStructural Integrity and Reliability Analysis
Canadian institutionsUniversity of Windsor
Fundersnot available
KeywordsCrackingMaterials scienceStrength reductionComposite materialTransverse planeEnhanced Data Rates for GSM EvolutionUltimate tensile strengthFracture mechanicsStructural engineeringFinite element methodEngineering

Abstract

fetched live from OpenAlex

Numerical analysis using computer code ANSYS was employed to analyze the ultimate strength of pitted plates with transverse cracks under uniaxial compression. It was found that pitting was more critical in the thick plate and cracking in the thin plate, and the plate with a center crack had the lowest effect on the reduction of the ultimate strength, regardless of the crack length and thickness of the plate. For small cracks, plates with two edge cracks had a lower reduction factor than plates with a single edge crack, while for long cracks it was vice versa. The maximum reduction factor of the ultimate strength of the cracked plate occurred in thin plates with two edge cracks. The results showed that the combined effect of cracking and pitting reduced the ultimate strength of the plate by up to 400% and 50% with respect to cracking and pitting alone, respectively. Thus, it can be concluded that cracking of plates prior to pitting is more detrimental, since sharp decreases of the ultimate strength.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.378
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.001
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 head0.007
GPT teacher head0.187
Teacher spread0.180 · 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