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Record W7053417155

Wind Tunnel Study of Wind-Induced Loads on Building Balconies

2021· dissertation· en· W7053417155 on OpenAlexaboutno aff

Bibliographic record

VenueScholarship at UWindsor (University of Windsor) · 2021
Typedissertation
Languageen
FieldPhysics and Astronomy
TopicMagnetic confinement fusion research
Canadian institutionsnot available
Fundersnot available
KeywordsWind tunnelWind engineeringPressure coefficientWind directionGuard (computer science)Cladding (metalworking)Wind speedBuilding code
DOInot available

Abstract

fetched live from OpenAlex

The wind-induced pressure coefficients for the balcony guardrail design are based on the provision of wall cladding and components provided in building codes, such as the National Building Code of Canada 2015. However, the balcony guard’s failure frequently occurred, which caused a number of accidents and casualties in the past years. This work studies the wind-induced pressure coefficients on the two typical balconies guard models, an isolated balcony and a continuous balcony, based on various wind direction, wind speeds, and balcony configurations through wind tunnel test. The test results in the wind tunnel are compared with the provisions of the National Building Code of Canada 2015. The study concluded that the wind direction effectively declined the wind-induced pressure coefficient on the windward side of the balcony guards as the wind attack angle increased. The variation of wind speed also influenced the wind-induced pressure coefficient. For the different balcony types, the wind-induced pressure coefficient was still different. The balcony configuration such as the gap between the front panel and the floor did not alter the wind-induced pressure coefficient. The tested results verified that recommended wind-induced pressure coefficients in the provision of the National Building Code of Canada 2015 are too conservative.

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)0.000
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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.003
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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)0.0010.000

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 head0.025
GPT teacher head0.272
Teacher spread0.247 · 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
Published2021
Admission routes1
Has abstractyes

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