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Experimental Study of the Hydraulic Performance of Continuous Transverse Grates

2021· article· en· W3174826164 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

VenueJournal of Irrigation and Drainage Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicHydraulic flow and structures
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsFroude numberTransverse planeFlow (mathematics)GeologyGeotechnical engineeringMechanicsEngineeringStructural engineeringPhysics

Abstract

fetched live from OpenAlex

Better understanding of the hydraulic performance of stormwater inlets which serve as the linkage between the surface drainage system and the underground sewer system is important to avoid urban flooding. Continuous transverse grates were not well studied in the literature, and, therefore, eight types of such grates commonly used in China were examined experimentally in this study. A full-scale physical model simulating a 12-m-long and 3-m-wide road was constructed for 320 hydraulic tests with different approaching flow rates and road longitudinal slopes. Hydraulic efficiencies of the grates under different conditions were calculated, and their influencing factors were analyzed, including the Froude number and the grate’s geometry (grate length, effective length, effective width, effective length ratio, effective width ratio, opening style, and opening rate). Empirical equations are presented to relate the hydraulic efficiency and influencing factors. This research is useful for understanding continuous transverse grates and improving the engineering design of the grates.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.319
Threshold uncertainty score0.251

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 head0.005
GPT teacher head0.189
Teacher spread0.184 · 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