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Record W2609445703 · doi:10.1520/acem20160039

Versatility of Piezoelectric Ring Actuator Technique (P-RAT) for Characterization of Cement Paste and Mortar

2017· article· en· W2609445703 on OpenAlexaff
Siwar Naji, Mourad Karray, Kamal H. Khayat

Bibliographic record

VenueAdvances in Civil Engineering Materials · 2017
Typearticle
Languageen
FieldEngineering
TopicDrilling and Well Engineering
Canadian institutionsUniversité de Sherbrooke
Fundersnot available
KeywordsMaterials scienceMortarComposite materialCharacterization (materials science)ActuatorPiezoelectricityCementRing (chemistry)Structural engineeringEngineeringNanotechnologyElectrical engineeringChemistry

Abstract

fetched live from OpenAlex

ABSTRACT Piezoelectric ring-actuator technique (P-RAT) enables the measurement of shear wave (S-wave) velocity (Vs) of a cement-based material, which is directly related to its elastic shear modulus (G). The P-RAT can produce high quality signals with low energetic primary waves (P-waves), thus resulting in precise measurements of S-wave velocity. This paper checked the reliability of the P-RAT to monitor the setting time using the frequency spectrum of the received signals. A possibility of using the P-RAT to monitor the elastic shear modulus of the cement pastes and mortars starting at an early age was studied. This paper also discussed signal processing techniques, including phase shift correction and the first arrival time that can be used to determine the variation of Vs of cement paste and mortar, which can be interpreted to determine setting time. In total, 16 cement paste and mortar mixtures proportioned with different water-to-cement ratios (w/c), high-range water-reducing admixture dosages, and sand volume fractions were investigated. In addition to Vs measurements, the frequency content of the received signals was shown to offer another alternative to determine setting time of cement paste and mortar. To monitor the elastic shear modulus of cement paste and mortar from 1 up to 56 days, a test setup with two P-RAT sensors mounted on opposite sides of a clamping vice was developed for measuring Vs of different hardened material in shape and thickness.

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)0.001
metaresearch head score (Gemma)0.001
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 score0.001
Threshold uncertainty score0.003

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
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 head0.006
GPT teacher head0.218
Teacher spread0.212 · 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

Citations4
Published2017
Admission routes1
Has abstractyes

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