LDA experiments - flow characterization of the NRC-IOT cavitation and water re-circulation tunnel
Bibliographic record
Abstract
Flow characterization experiments were conducted at the NRC-IOT cavitation and water re-circulating tunnel http://iot-ito.nrc-cnrc.gc.ca/. These experiments were part of a task for the 25th ITTC Uncertainty Analysis Committee (http://ittc.sname.org). Flow characteristics of the test section were measured with a two-componment Dantec LDA (Laser Doppler Anemometer) system. The fibre-optic head of the LDA was mounted on a 3-dimensional traversing system. The long term temporal velocity stability at various tunnel velocities was measured at the centerline of the test section over a time period of about 1-- to 120 minutes. The spatial variation across the test section (velocity uniformity) was also measured via LDA profile sweeps. All 3-velocity components wer measure using the LDA head looking from the bottom and from the side windows of the test section. From the bottom window of the test section, the axial and transverse velocity components (x and y velocities) were measured. From the side window, however, the axial and vertical velocity components were measures (x and z velocities). Together, LDA measurements from the bottom and the side windows provide a 3-D volumetric water velocity profile in the test section. The experiments were conducted at the center of the forward window in the test section. Tests for two different water nominal speeds were completed (1.6 m/s & 6.0 m/s, in the test section). These speeds are typical of low and medium tunnel testing speeds. It is aimed that high water speed experiments (> 9 m/s) are to be conducted in future dates. All experiments at the center of the test window were repeated at distances of ±250 mm ('aft' and 'fwd' tests). In this paper, the results of this experimental work are reported. Velocity Temporal Stability (VTS) and Velocity Spatial Uniformity (VSU) results are provided. A comparison between the present NRC-IOT test results and those from much larger cavitation tunnels (in Japan and the US) is provided.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".