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Record W2933825197 · doi:10.2749/vancouver.2017.0002

Developments in the wind engineering of tall buildings

2017· article· en· W2933825197 on OpenAlexaff

Bibliographic record

VenueReport · 2017
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsRowan Williams Davies & Irwin (Canada)
Fundersnot available
KeywordsServiceability (structure)Wind engineeringEngineering design processEngineeringArchitectural engineeringTuned mass damperCivil engineeringStructural engineeringMechanical engineering

Abstract

fetched live from OpenAlex

<p>The number of tall buildings above 200 m in height has been growing exponentially in the last two decades, largely due to mass migration of populations around the world into cities where land is at a premium. There is no sign that this trend will end soon. A large number are now in the 200 m to 600 m range and the tallest are approaching 1000 m. The importance of wind loading and serviceability under wind action has grown along with the increasingly extreme heights and slenderness of many of these structures. Whereas wind loading used to be taken as something to be determined after most of the important design decisions had already been taken, it is now recognized (as it has been for a while for very long span bridges) as something that needs to be accounted for right from the outset. It is common now for shaping workshops to be undertaken in the wind tunnel soon after commencement of design so as to avoid difficult and expensive to solve problems emerging late in the process. As well as shaping the building aerodynamically, the use of supplementary damping has become much more common and is often acknowledges as a crucial part of structural optimization. The paper will provide examples of how wind engineering influenced the design of a number of tall buildings.</p><p>A recent development in wind engineering is the proposed adoption of Performance Based Design principles that have proven very beneficial in seismic engineering. The capability now exists to undertake full time history analysis of a tall building during a severe storm and to use Incremental Dynamic Analysis to explore its final collapse mode. This allows the true wind performance of buildings of buildings to be assessed in much greater detail than before, an important consideration if tall buildings are to be used a shelter in place along hurricane ocean lines. Findings from these studies indicate tall buildings, currently designed to remain fully elastic even at ultimate wind loading, have considerable untapped reserves of structural strength. The biggest challenges lie in the area of serviceability and cladding rather than structural strength. Serviceability issues can be largely resolved by supplementary damping systems but the current reliability of cladding under impact from wind loads, debris and wind driven rain appears to be in need of improvement.</p>

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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.104

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 head0.234
Teacher spread0.221 · 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

Citations0
Published2017
Admission routes1
Has abstractyes

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