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Record W2115084680 · doi:10.1061/9780784412626.096

Evaluation of Wind-Induced Structural Attenuation Based on Full-Scale Monitoring

2012· article· en· W2115084680 on OpenAlexaff
Ioannis Zisis, T. Stathopoulos

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicTree Root and Stability Studies
Canadian institutionsConcordia University
Fundersnot available
KeywordsFoundation (evidence)AttenuationRoofWind engineeringStructural engineeringDynamic load testingEnvironmental scienceMarine engineeringEngineeringPhysics

Abstract

fetched live from OpenAlex

A low-rise wood building equipped with pressure and force-monitoring equipment was used to study the wind-induced response during strong wind events. The main interest in this study was to examine the wind load path, i.e. how the dynamic wind load is transferred through the building superstructure and down to the foundation. By investigating the load transfer mechanisms it was possible to identify, and most importantly, quantify the degree of wind load attenuation, as this load reaches the foundation level. The results identified a significant degree of attenuation of wind-induced load. For most cases the predicted peak forces (FEM) exceed the observed forces captured by the load cells (full-scale). This behavior indicates that although the applied load should generate predicted responses at various components, e.g. roof to wall, wall to foundation interfaces, actual dynamic force monitoring reveals attenuation of peak forces and reactions.

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 score0.104
Threshold uncertainty score0.283

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 head0.057
GPT teacher head0.295
Teacher spread0.238 · 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
Published2012
Admission routes1
Has abstractyes

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