Suppression of Acoustic Resonance in Piping System Using Passive Control Devices
Bibliographic record
Abstract
Piping systems used in industrial applications such as power stations and natural gas pipelines are liable to generation of pressure pulsations, often arising from the use of reciprocating pumps and/or dynamic instability of valves, which can act as sources of unwanted noise and vibration. In the event that the frequencies of these pulsating sources correspond to the resonant frequencies of the piping system, a very dangerous acoustic resonance condition can result, which can produce extremely large pressure fluctuations, often a several times the dynamic head of the flow in the main pipe, as well as substantial vibration of the piping system and surrounding components. These conditions, referred to as Acoustic Induced Vibrations (AIV), can lead to issues with leakage due to gasket and seal ruptures, valve failure, and in serious cases, fatigue and fracture of the piping system, related components and instrumentation. In this paper, the effectiveness of different passive noise control devices for attenuation of pressure pulsation in piping system is investigated experimentally. A small-scale pipeline system is constructed and used to examine the performance of these devices and a summary of the results is presented in the paper.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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.
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".