MétaCan
Menu
Back to cohort
Record W2187743771

EXPERIMENTAL INVESTIGATION OF SLAMMING LOADS ON A WEDGE

2010· article· en· W2187743771 on OpenAlexaff
Tanvir Sayeed, Heather Peng, Brian Veitch

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicFluid Dynamics Simulations and Interactions
Canadian institutionsMemorial University of Newfoundland
Fundersnot available
KeywordsSlammingWedge (geometry)HullHydroelasticityDrop testImpact pressureGeologyEngineeringStructural engineeringMarine engineeringMechanicsMathematicsGeometryFinite element methodPhysicsAerospace engineering
DOInot available

Abstract

fetched live from OpenAlex

This paper reports an initial series of wedge drop test results performed at Ocean Engineering Research Center (OERC) to investigate the slamming loads acting on a wedge of 10 0 deadrise. The aim is to get accurate twodimensional impact loads to incorporate into the simulation of planing hull motion. Parameters varied in these drop tests were the mass of the wedge and the drop height. These factors were found to have negligible influence in predicting the maximum pressure coefficient. The analytical prediction method developed by Chuang [3] is found to be an accurate tool for determining maximum slamming pressures. In the future, more experiments could be performed varying the deadrise of the wedge to verify Chuang’s [3] prediction method. Then this method could be implemented in the numerical simulation of planing hull motions in waves.

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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.549
Threshold uncertainty score0.336

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 head0.009
GPT teacher head0.233
Teacher spread0.224 · 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 designBench or experimental
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

Citations7
Published2010
Admission routes1
Has abstractyes

Explore more

Same topicFluid Dynamics Simulations and InteractionsFrench-language works237,207