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Record W2322995244 · doi:10.1061/9780784412848.110

Modelling the Roof-to-Wall Connections and Roof Failures in Residential, Wood-Frame Buildings under Realistic Wind Loads

2013· article· en· W2322995244 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 2013 · 2013
Typearticle
Languageen
FieldEnvironmental Science
TopicWind and Air Flow Studies
Canadian institutionsWestern University
Fundersnot available
KeywordsRoofStructural engineeringShear wallWind engineeringFull scaleEngineering

Abstract

fetched live from OpenAlex

This paper presents a combined load sharing, nail-slip model to predict the failure of roof-to-wall toe-nail connections in residential wood-frame buildings. The roof elements, idealized as an equivalent 2-D beam in the model, are used in combination with bi-linear and non-linear load-displacement curves of the roof-to-wall-connections to describe the progressive nail withdrawal observed in full-scale experiments. In particular, elastic beam theory is used to quantify the load sharing between the adjacent roof-to-wall-connections, as well as to characterize the overall failure of such connections and the roof. The model demonstrates its capability in effectively capturing the damage progression and load sharing effects exhibited by a system of interconnected roof-to-wall-connections, subjected to fluctuating wind loads, by predicting the connection responses that reasonably match with the outcomes of controlled load sharing experiments. The validated model is further used to predict the response of the inter-connected roof-to-wall-connections for a gable roof building tested in full-scale.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.734
Threshold uncertainty score1.000

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)0.0010.000

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 head0.012
GPT teacher head0.227
Teacher spread0.215 · 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