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Tornado-induced wind loads on a community of low-rise buildings

2025· article· en· W4412102496 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.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of Fluids and Structures · 2025
Typearticle
Languageen
FieldEarth and Planetary Sciences
TopicTropical and Extratropical Cyclones Research
Canadian institutionsOntario Tech UniversityMcGill University
FundersFonds de recherche du Québec – Nature et technologiesMcGill University
KeywordsTornadoLow-riseWind engineeringStructural engineeringWind forceEngineeringArchitectural engineeringMeteorologyGeography

Abstract

fetched live from OpenAlex

An innovative wind chamber study on wind loads induced by tornado-like vortices (TLVs) on a realistic, geometrically complex built community is performed at the WindEEE Dome tornado simulator at Western University, Canada. The pressure distribution induced by the TLVs on the model buildings are quantified and compared to ASCE 7-22 building provisions, revealing that the building code may sometimes be insufficient for side loads, uplift, and appurtenance loads. For each geometric configuration of the community, stationary TLVs with swirl ratio values of S = 0.59, 0.69 and 1.03 are simulated. Flow aerodynamics are assessed by analyzing time-averaged and instantaneous pressure coefficients. The spatial location of pressure minima conform to pressure distribution observed from flow separation, with the roof experiencing the highest pressure deficits. Instantaneous pressures were subjected to extreme value analyses, which identified short return period pressure coefficients for strong pressure deficits.

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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.237
Threshold uncertainty score0.295

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 integrity0.0000.001
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 head0.016
GPT teacher head0.266
Teacher spread0.250 · 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