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Record W2037258584 · doi:10.1115/sbc2011-53879

Smoothed Particle Hydrodynamics Simulation of Flow Through a Bileaflet Mechanical Heart Valve: Advantages and Prospects

2011· article· en· W2037258584 on OpenAlexaff
Shahrokh Shahriari, Hoda Maleki, Ibrahim Hassan, Lyes Kadem

Bibliographic record

VenueASME 2011 Summer Bioengineering Conference, Parts A and B · 2011
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsConcordia University
Fundersnot available
KeywordsSmoothed-particle hydrodynamicsPulsatile flowMechanicsFlow (mathematics)Particle (ecology)Conservation of massComputer scienceMechanical heartPhysicsGeologyMedicineSurgeryCardiology

Abstract

fetched live from OpenAlex

A numerical simulation of pulsatile flow through a bileaflet mechanical heart valve is presented using smoothed particle hydrodynamics (SPH), a meshfree particle method. In SPH, the flow is modeled using fluid particles moving within the domain in which there is no mesh generation process and the conservation of mass is satisfied automatically. SPH showed a good capability to capture the main hemodynamic trend. The particle based nature of SPH allows also blood particle tracking, an important component in order to analysis the level of hemolysis induced by bileaflet mechanical heart valves.

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 score0.142
Threshold uncertainty score0.755

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.029
GPT teacher head0.251
Teacher spread0.222 · 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
Published2011
Admission routes1
Has abstractyes

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Same venueASME 2011 Summer Bioengineering Conference, Parts A and BSame topicFluid Dynamics Simulations and InteractionsFrench-language works237,207