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Record W7108464484 · doi:10.1016/j.jweia.2025.106304

LES of wind-induced pressures and flow structures around tandem buildings

2025· article· en· W7108464484 on OpenAlexafffund

Bibliographic record

VenueJournal of Wind Engineering and Industrial Aerodynamics · 2025
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of CanadaAlliance de recherche numérique du CanadaUniversity of TorontoInnovation, Science and Economic Development Canada
KeywordsTandemFlow (mathematics)Flow conditionsFlow properties

Abstract

fetched live from OpenAlex

This study investigates the effects of upstream building interference on surface pressure distributions and flow behavior around a principal building in a tandem arrangement using Large Eddy Simulation (LES), validated against wind tunnel measurements. Streamwise separations ranging from 1.5 B to 6 B were analyzed to capture transitions between established interference regimes, including reattachment and co-shedding. Particular emphasis is given on evaluating mean, root-mean-square, and peak pressure coefficients, with peak values highlighted due to their relevance in cladding design and extreme wind load assessment. Results show that maximum peak pressures on the windward wall are generally suppressed under interference, while minimum peak pressures are significantly amplified near vertical edges and separation zones. This amplification is especially pronounced for separations below 3 B , where shielding reduces stagnation loads but enhances suction effects. Flow visualizations and turbulence-intensity maps confirm transitions in the interference regime, from wake shielding and attached roof flow to roof-level separation and vortex formation. The findings demonstrate the capability of LES to resolve key flow features and pressure variations in tandem building configurations and emphasize the importance of accounting for extreme suction demands in closely spaced urban environments.

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 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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.612
Threshold uncertainty score0.518

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 head0.218
Teacher spread0.205 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2025
Admission routes2
Has abstractyes

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