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Record W4410640783 · doi:10.1016/j.rineng.2025.105424

Quality of regular waves experimentally generated by plunger-type wavemakers with mean flow

2025· article· en· W4410640783 on OpenAlexafffund
Stephanie Lowell, Rishad A. Irani

Bibliographic record

VenueResults in Engineering · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Waves and Remote Sensing
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaMitacsCanadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of CanadaCarleton University
KeywordsPlungerType (biology)Flow (mathematics)Quality (philosophy)MechanicsGeologyPhysicsMathematicsThermodynamics

Abstract

fetched live from OpenAlex

This paper experimentally studies the quality of regular waves generated by a plunger-type wavemaker with a triangular wedge, as analyses on wave quality in such systems remain limited and often lack quantitative assessment. Three wedge geometries with inner angles of 25.7°, 35.0°, and 45.0° were tested under both no-flow and flow conditions. Wave quality was evaluated based on metrics of wave amplitude, vertical symmetry, and horizontal symmetry. With respect to wave amplitude, two leading analytical models were compared: the Equal Volume with Flow (EVF) model based on mass conservation and the Plunger-Type with Flow (PTF) model based on potential flow theory. After an operational correction to both models, the analysis showed that the PTF model was more accurate on average, but the EVF model provided comparable results. Among the tested configurations, the wedge with a 35.0° angle consistently generated waves with higher quality in terms of amplitude prediction and symmetry across varying flow conditions. These findings suggest that the use of an intermediate angled wedge offers a practical and reliable approach to generate linear waves in laboratory experiments. It is recommended that future studies with a plunger-type wavemaker adopt a similar geometry to enhance experimental accuracy in the presence of flow.

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)0.000
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 score0.043
Threshold uncertainty score0.424

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)0.0000.000

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 head0.009
GPT teacher head0.218
Teacher spread0.209 · 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.

The models applied no category: nothing in the taxonomy fit this work.
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

Citations2
Published2025
Admission routes2
Has abstractyes

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