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Record W1987391093 · doi:10.5539/apr.v6n1p14

Numerical Simulation to Study Riemann Problem for Euler Equations in Case of Two Supersonic Flows Collide

2013· article· en· W1987391093 on OpenAlexvenueno aff
Layali Y. Salih AL-Mashhadani

Bibliographic record

VenueApplied Physics Research · 2013
Typearticle
Languageen
FieldEngineering
TopicComputational Fluid Dynamics and Aerodynamics
Canadian institutionsnot available
Fundersnot available
KeywordsSupersonic speedRiemann problemEuler equationsMach numberCollisionMechanicsPhysicsEuler's formulaChoked flowRiemann solverDiscontinuity (linguistics)Shock (circulatory)Classical mechanicsRiemann hypothesisMathematicsMathematical analysisComputer scienceThermodynamicsFinite volume method

Abstract

fetched live from OpenAlex

In this work we run numerical simulation of gasdynamic to study Riemann problem for the case of collision between two supersonic flows. We analyzed the profiles of density, velocity, pressure, furthermore we inspect for the late time the Mach number which is represent the shock strengths, the specific internal energy density, the total energy density, and the entropy related quantity. Our results reveal that the collision between two supersonic flows leads to the formation of two shocks separated by a contact discontinuity, as well as the numerical results for Euler equations and the exact solution are close to each other.

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 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)0.000
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 score0.247
Threshold uncertainty score0.440

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
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 head0.051
GPT teacher head0.366
Teacher spread0.316 · 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 teacher head, 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
Published2013
Admission routes1
Has abstractyes

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