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Record W4389540953 · doi:10.17118/11143/20967

The limit to drag reduction by elastic reconfiguration due to dynamicalinstability

2023· article· en· W4389540953 on OpenAlexaff
Maryam Boukor, Éric Laurendeau, Frédérick P. Gosselin

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicGranular flow and fluidized beds
Canadian institutionsPolytechnique Montréal
Fundersnot available
KeywordsDragControl reconfigurationReduction (mathematics)Limit (mathematics)InstabilityMechanicsPhysicsComputer scienceControl theory (sociology)MathematicsMathematical analysisGeometryArtificial intelligence

Abstract

fetched live from OpenAlex

Flexible structures in nature, namely plants, can have large deformations when they are subjected to wind and can cause various problems that have an impact on society and economy. For example, windthrow can lead to damage to houses or electrical installation destruction. Plants are flexible and bend with the flow which leads to a drag reduction, this structure's deformation and change of shape is called reconfiguration. Here we consider a flexible, thin, rectangular plate clamped in the middle and set normal to an airflow, as an idealized representation of plants. The flexibility of the structure is considered as an advantage at moderate flow speed because it allows reconfiguration and drag reduction, but it can also be at the origin of several flow-induced vibration phenomena at higher flow speeds. An experimental wind tunnel campaign is proposed in this study to define the limitation to elastic reconfiguration that dynamic instability imposes. Here we show by increasing the flow speed that the flexibility permits a considerable reduction of drag by reconfiguration, compared to the rigid case. However, beyond the stability limit, vibrations occur and limit the reconfiguration. This limit is represented by two dimensionless numbers: the mass number defined as the ratio between the mass of the solid and the fluid, and the Cauchy number written as the ratio of the aerodynamic load to the stiffness of the structure. Our results reveal the existence of a Critical Cauchy number below which static reconfiguration with drag reduction is possible and above which a dynamic instability with fluctuating loads is present. This critical Cauchy number is dependent on the mass number. Therefore, we examine a trend between the flexibility and the critical Cauchy number, relevant to identify an optimal flexibility for the structure that leads to a drag reduction by reconfiguration while avoiding dynamic instability. These results will be a starting point to understand the impact of reconfiguration on the occurrence of instability phenomena in the flexible structure's wake and to identify the type of vibrations that appear. Because the system we consider is bluff yet aligned with the flow, it is unclear whether the vibrations are due to a flutter instability or vortex-induced vibration.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0010.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.007
GPT teacher head0.208
Teacher spread0.201 · 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 designTheoretical or conceptual
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
Published2023
Admission routes1
Has abstractyes

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