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Record W2999993913 · doi:10.1680/jstbu.19.00057

Equivalent-frame model for elastic behaviour of cross-laminated timber walls with openings

2020· article· en· W2999993913 on OpenAlexaff
Mohammed Mestar, Ghasan Doudak, Maurizio Caola, Daniele Casagrande

Bibliographic record

VenueProceedings of the Institution of Civil Engineers - Structures and Buildings · 2020
Typearticle
Languageen
FieldEngineering
TopicWood Treatment and Properties
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsStructural engineeringShear wallStiffnessBending momentShear (geology)Cross laminated timberBendingMoment (physics)Ultimate loadMaterials scienceFinite element methodEngineeringComposite materialPhysics

Abstract

fetched live from OpenAlex

An equivalent-frame model (EFM) applicable to cross-laminated timber (CLT) shear walls with window or door openings was developed. Two layouts were considered: hold-downs (HDs) placed at both ends of each wall segment or only at the ends of the wall. The model is the first of its kind to be proposed for CLT shear walls subject to lateral loading. Numerical modelling was performed to compare the global elastic stiffness and internal actions obtained from the EFM and a two-dimensional model using area elements. Comparisons between the two models and with published experimental results were undertaken. A reasonable fit was found between the models for the global elastic stiffness and tensile load in the HD. However, larger discrepancies were obtained for the shear load and bending moment in the top lintel. A study of the effect of openings on the base shear showed a higher reduction in base shear for higher slenderness ratios for both the wall segment and lintel. Little to no significant difference was found between using the single and double HDs. Reasonable agreement was found between the results of the proposed model and experimental tests conducted by other researchers.

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: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.292
Threshold uncertainty score0.579

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 head0.015
GPT teacher head0.222
Teacher spread0.207 · 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 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

Citations16
Published2020
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the Institution of Civil Engineers - Structures and BuildingsSame topicWood Treatment and PropertiesFrench-language works237,207