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Wind Pressures on 4∶12-Sloped Hip Roofs of L- and T-Shaped Low-Rise Buildings

2018· article· en· W2802512914 on OpenAlexaff
Shuai Shao, Ted Stathopoulos, Qingshan Yang, Yuji Tian

Bibliographic record

VenueJournal of Structural Engineering · 2018
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsEavesRoofWind engineeringLow-riseWind directionSuctionGeologyFlat roofRidgeTerrainGableStructural engineeringEnvironmental scienceGeotechnical engineeringMeteorologyWind speedEngineeringGeography

Abstract

fetched live from OpenAlex

A comprehensive wind tunnel experimental study for 4∶12-sloped hip roofs of L- and T-shaped low buildings was carried out in a simulated open terrain exposure to examine wind load characteristics and assess the applicability of wind provisions specified by the American wind load standard for such geometries. Results show that considering roof shape effects, hip roofs with rectangular or complex plans perform differently from rectangular gable roofs and incur smaller local and area-averaged suction. For L- and T-shaped hip roofs, distinctive pressure distributions occur, particularly along roof eaves near building re-entrant corners, where considerable suction appears for the wind blowing toward these building re-entrant corners. Furthermore, the building length-to-width aspect ratio effects are in most cases moderate. Generally, the wind load provisions of the American wind load standard are adequate for L- and T-shaped hip roofs, except for the edge zone along ridge and hip with large areas, for which measured values exceed the code-specified wind pressure coefficients. Finally, it was found more appropriate to utilize the entire L- or T-shaped roof dimensions, as opposed to the rectangular section only, to determine the least horizontal dimension of such nonrectangular hip roofs for the definition of roof zones.

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)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

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 head0.006
GPT teacher head0.207
Teacher spread0.200 · 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 designSimulation or modeling
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

Citations11
Published2018
Admission routes1
Has abstractyes

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