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Record W1992075758 · doi:10.1784/insi.46.11.666.52281

Evaluation of closed cracks by analysis of subharmonic ultrasound

2004· article· en· W1992075758 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

VenueInsight - Non-Destructive Testing and Condition Monitoring · 2004
Typearticle
Languageen
FieldEngineering
TopicUltrasonics and Acoustic Wave Propagation
Canadian institutionsHatch (Canada)
Fundersnot available
KeywordsSubharmonicUltrasoundAcousticsStructural engineeringEngineeringMaterials sciencePhysicsNonlinear system

Abstract

fetched live from OpenAlex

Abstract: Cracks in solids can be detected by ultrasound if they are open. However, their detection is not easy when they are closed with a closure stress, and it is a fundamental problem in ultrasonic testing. Subharmonics with half the input frequency is potentially useful in the detection and evaluation of such cracks. We developed analytical and numerical theories accounting for the crack parameters, such as closure stress and crack surface conditions, for the first time and proved their validity by comparison with experiments on a well-defined fatigue crack in aluminum alloy. Based on these theories, we propose a novel method to estimate size of partially closed cracks, which solves the fundamental problem in ultrasonic testing. Introduction: Cracks in solids can be detected by ultrasound if they are open [1,2], since the ultrasound is reflected or scattered by the crack as shown in Fig.1(a). However, it is very difficult when the crack is closed since the ultrasound is transmitted as shown in (c). When the crack is partially closed with a closure stress, or by oxide films, as shown in Fig.1(b), the ultrasound is partially transmitted and the crack detection is not easy. This has been a fundamental problem in

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 score0.422
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.023
GPT teacher head0.260
Teacher spread0.237 · 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