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Record W6903176912 · doi:10.1061/97807784413067.062

Model investgatons on wave disturbance and vessel movements in Dawei Sea Port, Myanmar

2013· article· en· W6903176912 on OpenAlexvenueaboutno aff

Bibliographic record

VenueNPARC · 2013
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicOcean Waves and Remote Sensing
Canadian institutionsnot available
Fundersnot available
KeywordsBreakwaterPort (circuit theory)Physical modellingWave modelChannel (broadcasting)Wave heightNumerical modelingDisturbance (geology)

Abstract

fetched live from OpenAlex

This paper describes the use of numerical and physical modeling studies for the design of a new port on the southwestern coast of Myanmar. A series of numerical modeling scenarios was carried out to optimize the port layout including entrance channel with respect to wave penetration into the port, and to refine the design wave conditions for the sizing of the primary armor on the breakwaters. Wave conditions inside and outside the port was assessed using a two-dimensional Boussinesq wave model. As a part of design process, three-dimensional physical (scale) modeling studies were undertaken at the Canadian Hydraulic Centre (CHC) in Ottawa, Canada to refine and further optimize wave agitation and disturbance levels within the port basins. This paper focuses on the influence of the length of the main breakwater section on the wave conditions and downtime inside the port, and compares the results from the numerical and physical modeling. © 2013 American Society of Civil Engineers.

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 score0.104
Threshold uncertainty score0.208

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
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 head0.019
GPT teacher head0.197
Teacher spread0.178 · 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
Published2013
Admission routes2
Has abstractyes

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