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Record W4297828271 · doi:10.1061/9780784484395.036

Offshore Technology Utilized to Accelerate Nearshore Barge Terminal Construction

2022· article· en· W4297828271 on OpenAlex
Daniel Léonard, Vignesh Ramadhas, Hong Liang

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenuePorts 2022 · 2022
Typearticle
Languageen
FieldEngineering
TopicMarine and Offshore Engineering Studies
Canadian institutionsBurnaby Hospital
Fundersnot available
KeywordsBARGESubmarine pipelineMarine engineeringTerminal (telecommunication)Offshore constructionOceanographyGeologyEnvironmental scienceComputer scienceEngineeringTelecommunications

Abstract

fetched live from OpenAlex

When a client required that an existing barge terminal in northern British Columbia, Canada, be moved to a new, exposed site in ten weeks’ time and with only a few days of downtime, innovative solutions were required to design, complete environmental and navigational permitting, and construct the new facility. The solution involved using components traditionally used in the offshore industry such as large drag anchors and high-capacity mooring chain attenuators to significantly reduce potential environmental impacts to streamline permitting, reduce the procurement lead time, and reduce construction time. A large barge was retrofitted into a floating breakwater and mooring lead, and modular floats were used to support the relocated loading ramp. A floating breakwater on chains and anchors at this site would typically have been difficult to design due to the potential for resonance with waves that regularly form in the long channel. However, by using high-capacity mooring chain attenuators intended for offshore vessels, the motions were significantly decreased. After permitting approvals were obtained, removal and modification of components from the existing terminal and construction of the new terminal were completed in just seven days. The new terminal, which was originally designed to operate for only 18 months, is now planned to be removed and relocated for use at a different site.

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.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.656
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.006
GPT teacher head0.205
Teacher spread0.198 · 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