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Record W2080129268 · doi:10.1121/1.4783224

Numerical simulation of sonic boom propagation through atmospheric turbulence.

2008· article· en· W2080129268 on OpenAlexaboutno aff
Andrew A. Piacsek, Lance L. Locey, Victor W. Sparrow

Bibliographic record

VenueThe Journal of the Acoustical Society of America · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsnot available
Fundersnot available
KeywordsSonic boomTurbulencePhysicsMeteorologyMechanicsK-omega turbulence modelK-epsilon turbulence modelGeologySupersonic speed

Abstract

fetched live from OpenAlex

To better understand the mechanisms by which atmospheric turbulence alters sonic boom rise times and peak overpressures, numerical calculations of sonic boom propagation through atmospheric turbulence have been performed using the NPE time domain model. Turbulence is incorporated into the model as a perturbation of the ambient sound speed that has a random spatial distribution determined by a von Karman energy spectrum. Each simulation employs a new realization of the turbulent field. Output from the finite difference solution includes high resolution movies showing the evolution of a full two dimensional wave field as it propagates from the upper region of the turbulent boundary layer to the ground. The evolution of wave forms corresponding to specific locations along the wave front is also obtained. Results are presented that illustrate how the magnitude, complexity, and spatial and temporal variabilities of the sonic boom wave field depend on turbulence spectrum parameters that represent atmospheric conditions. [V. Sparrow supported by NASA through Wyle Laboratories and by the FAA/NASA/Transport Canada PARTNER Center of Excellence.]

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)0.000
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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.017
Threshold uncertainty score0.033

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0020.000

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 head0.013
GPT teacher head0.235
Teacher spread0.223 · 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
Published2008
Admission routes1
Has abstractyes

Explore more

Same venueThe Journal of the Acoustical Society of AmericaSame topicWind and Air Flow StudiesFrench-language works237,207