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Record W2911751326 · doi:10.9753/icce.v36.structures.4

LOADING ON PIPELINES DUE TO EXTREME HYDRODYNAMIC CONDITIONS

2018· article· en· W2911751326 on OpenAlex

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.

Bibliographic record

VenueCoastal Engineering Proceedings · 2018
Typearticle
Languageen
FieldEngineering
TopicEarthquake and Tsunami Effects
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPipeline transportStorm surgeEnvironmental scienceStormEngineeringMarine engineeringGeotechnical engineeringPetroleum engineeringGeologyCivil engineeringEnvironmental engineeringOceanography

Abstract

fetched live from OpenAlex

Proper design of pipelines used for oil, gas, water and wastewater transmission is of great importance. This is even more critical when pipelines are located in nearshore, coastal areas that are exposed to extreme hydrodynamic events, such as tsunami and storm surges. The American Society of Civil Engineers (ASCE)), in its ASCE7 Chapter 6: Tsunami Loads and Effects, the new standard for tsunami impacts and loading stresses the necessity to study tsunami loads on pipelines. Understanding the hydrodynamic forces acting on the pipelines is vital in ensuring their safe operation and avoiding potential damage to the environment. To address these issues, the following study is the first of its kind to investigate loading on pipelines due to tsunami-like bores.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.700
Threshold uncertainty score1.000

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)0.0000.001

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 head0.205
Teacher spread0.196 · 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