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Record W4391624364 · doi:10.2749/newdelhi.2023.0760

488 University Avenue - Toronto: Redefining possible in the vertical expansion of buildings

2023· article· en· W4391624364 on OpenAlexaffabout
Bujar Morava, Shayne Love, David Liang

Bibliographic record

VenueReport · 2023
Typearticle
Languageen
FieldEngineering
TopicVibration Control and Rheological Fluids
Canadian institutionsGolder Associates (Canada)
Fundersnot available
KeywordsServiceability (structure)TowerWind tunnelStructural engineeringEngineeringCivil engineeringArchitectural engineeringWind engineeringWind forceComputer scienceMarine engineeringAerospace engineeringMeteorology

Abstract

fetched live from OpenAlex

488 University Avenue condominium is a unique, first-ever designed and constructed 55-story tower, where 37 stories of residential units were added above an existing 18-story office building. This was made possible by an innovative structural solution assisted by extensive wind tunnel testing and the implementation of a tuned sloshing damper (TSO} system to achieve the required strength and serviceability performance targets. In this paper, a detailed description of the structural solution implemented for this building is first presented. Then, the wind tunnel testing considered for the evaluation of the wind performance of the building is discussed with a particular focus on the assessment of wind-induced motions and their acceptability for occupant comfort. Lastly, the implementation and the as-built performance verification of the TSO are demonstrated using full-scale measurement data obtained from a long- term structural monitoring program.

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)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.605
Threshold uncertainty score0.784

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0020.001
Scholarly communication0.0020.001
Open science0.0000.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0150.001

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 head0.014
GPT teacher head0.226
Teacher spread0.212 · 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 designNot applicable
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
Published2023
Admission routes2
Has abstractyes

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