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Record W4388572959 · doi:10.18280/i2m.220505

Metrological Characterization of Spring Impact Hammer Calibration

2023· article· fr· W4388572959 on OpenAlexvenueno aff
Khaled M. Khaled, R. Hegazy

Bibliographic record

VenueInstrumentation Mesure Métrologie · 2023
Typearticle
Languagefr
FieldEngineering
TopicSoil Mechanics and Vehicle Dynamics
Canadian institutionsnot available
Fundersnot available
KeywordsHammerSpring (device)CalibrationMetrologyCharacterization (materials science)Environmental scienceEngineeringComputer scienceMaterials scienceMechanical engineeringPhysicsNanotechnologyOpticsMathematicsStatistics

Abstract

fetched live from OpenAlex

This article presents a proposed approach and mechanism for calibrating a spring hammer.The metrological characterization of the calibration results was discussed and the uncertainty of this measurement was evaluated.The proposed approach demonstrates a more applicable calibration method using a high accuracy force transducer to measure the spring force and a high-precision deflection measuring instrument to measure the corresponding deflection.Different relative errors are calculated to detect the applicability and accuracy of this approach.The overall relative expanded uncertainty is presented based on the introduced repeatability and reproducibility errors, side by side with the uncertainties of the reference force transducer and length measuring device used.The proposed calibration technique is used to calibrate both types of spring impact hammers; the multi-step hammer and the single-step hammer.Two examples for calibrating multistep hammer and another single-step hammer are presented with relative expanded uncertainties from 0.36% up to 5.37%.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.574
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.028
GPT teacher head0.290
Teacher spread0.261 · 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 teacher head, not a consensus.

Study designSimulation or modeling
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

Citations1
Published2023
Admission routes1
Has abstractyes

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