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Record W2132908726 · doi:10.1061/41016(314)86

Effects of Geometry on the Wind Response of Super-Tall Towers

2008· article· en· W2132908726 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

VenueStructures Congress 2008 · 2008
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsRowan Williams Davies & Irwin (Canada)
Fundersnot available
KeywordsCrosswindTowerTaperingStiffeningSolidityStructural engineeringWind speedVortex sheddingWind directionGirderWind engineeringWind forceEngineeringMarine engineeringMeteorologyAerospace engineeringComputer sciencePhysics

Abstract

fetched live from OpenAlex

Tall buildings become increasingly sensitive to wind as they go higher and for super-tall towers, which are going up at an increasing rate, wind becomes the dominant factor in the structural design, not only for strength but also for keeping the building motions within a comfort range for the occupants. Along wind forces are important but even more important are the crosswind forces. While stiffening the structure, increasing its mass, or adding supplementary damping systems are all ways of reducing the response, it must be remembered that the source of the wind excitation is interaction of the wind with the building's shape. The dominant form of excitation of building motions is often vortex shedding. Various shaping strategies such as tapering, varying the cross-section with height, softening the corners, using spoilers, and inserting openings in the building have been used to mitigate or even completely suppress vortex excitation. The alignment of the tower with strong wind directions or even with other towers nearby can also be important. Substantial cost savings are possible if the effect of shape is taken into account early in the design.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.478
Threshold uncertainty score0.745

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 studies0.0000.001
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 head0.008
GPT teacher head0.207
Teacher spread0.199 · 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