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Laser vibrometer condition assessment of cemented materials using wavelet synchro-squeezed transform

2020· article· en· W3091869097 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueMATEC Web of Conferences · 2020
Typearticle
Languageen
FieldEngineering
TopicUltrasonics and Acoustic Wave Propagation
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaUniversity Network of Excellence in Nuclear Engineering
KeywordsLaser Doppler vibrometerAcousticsLaser scanning vibrometryMaterials scienceAttenuationOpticsWaveletTransducerUltrasonic sensorNondestructive testingLaserPhysicsComputer science

Abstract

fetched live from OpenAlex

Current non-destructive ultrasonic techniques (NDT) are based mostly on wave velocity analysis. While current techniques can identify severe damage, they fail to detect early deterioration. Therefore, the proposed method, based on the propagation of surface waves, takes into account not only changes in wave velocity but also changes in wave attenuation. In practical/field applications, access to a structure is often limited to one side only (i.e. concrete slabs, vacuum building walls). Thus, surface wave analysis is a natural solution. To improve the reliability of wave attenuation measurements, responses of ultrasonic transducers are measured using a high-frequency Doppler laser vibrometer. Firstly, the ultrasonic transducer is characterized using the laser vibrometer. Then, based on the sensitive frequency ranges, response signals measured for the cemented sand specimen are analyzed, and the relative attenuation index based on spectral energy is proposed. The method is further improved using the wavelet synchro-squeezed transform.

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 categoriesInsufficient payload (model declined to judge)
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 score0.209
Threshold uncertainty score1.000

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)0.0010.000

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 head0.022
GPT teacher head0.251
Teacher spread0.229 · 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