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Record W2083675842 · doi:10.1061/41130(369)279

Tuned Sloshing Damper for Wind-Induced Motion Control of a Tall Residential Tower

2010· article· en· W2083675842 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 2010 · 2010
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsUniversity of GuelphRowan Williams Davies & Irwin (Canada)
Fundersnot available
KeywordsTowerStiffnessDamperStructural engineeringSchematicTuned mass damperSlosh dynamicsWind tunnelEngineeringSizingAccelerationEnvironmental scienceAerospace engineeringPhysicsElectrical engineering

Abstract

fetched live from OpenAlex

Wind tunnel studies performed at the schematic design stage of a slender, 670 ft tall residential building predicted peak accelerations at the top occupied floors close to 23 milli-g, considerably higher than the commonly used 10-year criteria of 15–18 milli-g for human comfort in a residential tower. Traditional approach of stiffness increase would have produced the desired performance but at the expense of reduced valuable space of the floor and overall cost increase. As an alternative solution, the enhancement of the structural performance of the tower through the implementation of a cost-effective supplemental damping system was investigated and further considered in the final detailed design of the tower.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.590
Threshold uncertainty score0.999

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)0.0020.000

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 head0.009
GPT teacher head0.236
Teacher spread0.227 · 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