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Record W7018339935

Dairesel Kesitli Bir Silindir Etrafındaki Akış Gürültüsünün Sayısal Ve Analitik Olarak İncelenmesi

2017· article· tr· W7018339935 on OpenAlexaff

Bibliographic record

VenueIstanbul Technical University Academic Open Archive (Istanbul Technical University) · 2017
Typearticle
Languagetr
FieldEngineering
TopicFire dynamics and safety research
Canadian institutionsStantec (Canada)
Fundersnot available
KeywordsProcess (computing)Work (physics)Focus (optics)Quality (philosophy)Measure (data warehouse)
DOInot available

Abstract

fetched live from OpenAlex

The prediction of the flow-induced noise has been the target of those who have been researching in the field of acoustics for many years.Recently, flow noise around submerged bodies used in marine industries has become commercially and ecologically an important issue.In this paper, the flow-induced noise around the circular cylinder is investigated by using numerical and analytical methods.The acoustic analysis is performed to examine the hydro-acoustic performance of the circular cylinder at various Reynolds numbers.Flow characteristics around the circular cylinder are calculated by employing Computational Fluid Dynamics using finite volume method.The flow-induced noise has been calculated by solving Ffowcs Williams and Hawkings equations.A k-Ԑ sound model based on Proudman analogy is also employed to approximate the total sound power and flow noise generated by turbulent flow past over the circular cylinder, analytically.The results obtained using the FW-H and the k-Ԑ sound methods are presented and compared with experimental and numerical data in the literature.In addition, the effects of receiver distance and flow velocity on flow-induced noise are examined. ÖZETAkış kaynaklı gürültünün hesaplanması ve tahmini, uzun yıllardır akustik alanında araştırma yapanların hedefi olmuştur.Son yıllarda, su altı cisimleri etrafındaki akış gürültüsünün belirlenmesi, denizcilik endüstrisinde ticari ve ekolojik olarak önemli bir konu haline gelmiştir.Bu çalışmada dairesel kesitli bir silindir etrafındaki akış gürültüsü, sayısal ve analitik metotlar kullanılarak incelenmiştir.Akustik analizler, farklı Reynolds sayılarında dairesel silindirin hidroakustik performansını değerlendirmek amacıyla gerçekleştirilmiştir. Silindir etrafındaki akış karakteristikleri, hesaplamalı akışkanlar dinamiği (CFD) yardımıyla belirlenmiştir.Uzak alan akış gürültüsünün sayısal olarak hesaplanmasında ise Ffowcs Williams & Hawkings (FWH) metodu kullanılmıştır.Bunun yanında, Proudman akustik analojisine dayanan k-ε gürültü metodu kullanılarak, toplam akustik güç ve akış gürültüsü seviyeleri analitik olarak hesaplanmıştır.Farklı metotlar kullanılarak elde edilen sonuçlar, literatürde yer alan analiz sonuçları ile karşılaştırılmıştır.Ayrıca, alıcı nokta uzaklığının ve akışkan hızının akış gürültüsü üzerindeki etkileri incelenmiştir. GİRİŞAkış kaynaklı gürültünün hesaplanması ve tahmini uzun yıllardır akustik alanında çalışma yapanların hedefi olmuştur.Son yıllarda, denizcilik endüstrilerinde kullanılan su altı cisimleri etrafındaki akış gürültüsü, ticari ve ekolojik olarak önemli bir konu haline gelmiştir.Buna

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)0.002
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.022
Threshold uncertainty score0.075

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0040.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0220.006

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 head0.029
GPT teacher head0.282
Teacher spread0.253 · 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 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

Citations0
Published2017
Admission routes1
Has abstractyes

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