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Record W3120347757 · doi:10.9753/icce.v36v.waves.55

TRANSIENT DAM-BREAK WAVE LOADING ON PIPELINES NEAR SLOPING BED

2020· article· en· W3120347757 on OpenAlex
Behnaz Ghodoosipour, Tomoyuki Takabatake, Ioan Nistor, Abdolmajid Mohammadian, Go Hamano, Hidenori Ishii, Kotaro Imura, Tomoya Shibayama

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 · 2020
Typearticle
Languageen
FieldEngineering
TopicEarthquake and Tsunami Effects
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsPipeline transportGeotechnical engineeringGeologyEnvironmental scienceEngineering

Abstract

fetched live from OpenAlex

Extreme events such as tsunamis and floods have caused massive damaging consequences to nearshore infrastructures. This has been more significant recently due to a changing climate. Transmission pipelines are among such infrastructures and need to be protected against potential extreme events. Design of pipelines requires comprehensive understanding of the exerting hydrodynamic forces. Such pipelines are often placed on sloping beds in coastal areas. Therefore, to address the uncertainties and parameters involved in extreme hydrodynamic loading on pipelines near sloping bed, an experimental program was conducted at the hydraulic laboratory in WASEDA University, Tokyo, Japan. This study is a complement of another experimental research conducted by Ghodoosipour et al., 2019a and b to investigate loadings from tsunami-like dam-break waves on pipelines located on flat bed.Recorded Presentation from the vICCE (YouTube Link): https://youtu.be/y6nSfe34SAw

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.390
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)0.0000.000

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 head0.013
GPT teacher head0.185
Teacher spread0.173 · 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