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Record W2086267712 · doi:10.1061/41098(368)2

Physical Model Tests of Bowthruster Impacts to Armored Slopes

2010· article· en· W2086267712 on OpenAlexaff
David Dykstra, Paul Tschirky, Jeff Shelden, Andrew Cornett

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldMaterials Science
TopicEngineering and Material Science Research
Canadian institutionsNational Research Council Canada
Fundersnot available
KeywordsArmourRevetmentSuperposition principleFlow (mathematics)Marine engineeringParametric statisticsStructural engineeringJet (fluid)MechanicsGeotechnical engineeringGeologyEngineeringAerospace engineeringMathematicsMaterials sciencePhysics

Abstract

fetched live from OpenAlex

Protection of revetments under wharves against scour related to bowthrusters is becoming increasingly important and more difficult to achieve as the container vessels become larger with each new class of vessel. The associated larger and more powerful bowthrusters increase the potential for damage to the armor protecting the slope. Existing analytical techniques for armor requirements are limited when addressing the impacts associated with this larger generation of bowthrusters. The primary focus of this study was to evaluate revetment armor stability related to the latest generation of bowthrusters. This was accomplished using a relatively large scale physical model of both single and dual bowthruster configurations at various elevations and distances to the armored slope. Two armor sizes and two slope angles were tested. Several significant observations were made during the model test program. The most significant result was the higher velocities of the bowthruster-induced jet with distance from the vessel hull was more than suggested in the literature. An additional significant result was the flow field resulting from dual bowthrusters. Based on detailed velocity profiles it is apparent that dual bowthruster velocity fields tend to remain generally separate for each thruster in terms of the maximum velocities, at least over the distances tested. This leads to substantially smaller velocities for dual thrusters than would be predicted with superposition of the velocity fields as suggested in the literature. The model test results suggest that the armor stone stability should be based on essentially no movement of the armor stone. This conclusion was based on the results of tests where bursts from the thrusters were repeated many times. These tests resulted in progressive cumulative damage once there was any movement to the armor stone at a given velocity. This suggests a lower velocity threshold than would typically be used in other areas of a port where damage repair is easier and damaging events are more random, thereby allowing a damage risk factor to be used in sizing the armor. This lower velocity threshold resulted in somewhat higher stability coefficients when compared to suggested values.

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: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.011

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.019
GPT teacher head0.315
Teacher spread0.297 · 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
Published2010
Admission routes1
Has abstractyes

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