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Record W4235223134 · doi:10.22215/etd/2021-14507

Sensitivity Analysis and Experimental Validation of Plunger-type Wavemakers Modelled with a Steady Flow

2021· dissertation· en· W4235223134 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

Venuenot available
Typedissertation
Languageen
FieldDecision Sciences
TopicProbabilistic and Robust Engineering Design
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of CanadaMitacs
KeywordsPlungerSensitivity (control systems)Flow (mathematics)MechanicsFlow conditionsRange (aeronautics)Control theory (sociology)Variance (accounting)Open-channel flowSteady state (chemistry)SimulationMathematicsEngineeringComputer sciencePhysicsThermodynamicsElectronic engineeringChemistry

Abstract

fetched live from OpenAlex

The inclusion of a steady flow in a water channel is a critical requirement for recreating accurately scaled ocean environments in a laboratory. In this thesis, the effect of a uniform flow on the theoretical model and experimental performance of a plungertype wavemaker has been investigated. Through a variance-based global sensitivity analysis, the influence of all input parameters on the output variance of the theoretical model was investigated. The analysis determined that the wave frequency had the highest influence on the wavemaker model. For a uniform flow, the first order and total effect sensitivity indices were estimated as 0.740.30% and 6.840.16%, respectively.

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)0.001
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 score0.177
Threshold uncertainty score0.660

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.044
GPT teacher head0.319
Teacher spread0.276 · 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