MétaCan
Menu
Back to cohort
Record W4385995101 · doi:10.4203/ccc.3.14.4

Effects of Connector Modelling on Explicit Shell Finite Element Models of Cold-formed Steel Shear Walls

2023· article· en· W4385995101 on OpenAlexaff
Ghaith Alshamsi, Le Xu, Xiongliang Yao

Bibliographic record

VenueCivil-comp conferences · 2023
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsCable glandCold-formed steelFinite element methodStructural engineeringShear wallShear (geology)Parametric statisticsShell (structure)Cold formingEngineeringMaterials scienceMechanical engineeringComposite materialMathematics

Abstract

fetched live from OpenAlex

The study presented herein is concerned with assessing the influence of connector elements on the behaviour of finite element models of high capacity cold-formed steel (CFS) shear walls.Recently, CFS shear walls have been used as an economic and light-weight seismic force resisting system (SFRS) in North America, however their applications are limited to mid-rise buildings.To push the state-of-the art, a preliminary testing programme of an innovative, higher-capacity CFS shear wall is conducted.The testing programme consists of monotonic and cyclic tests as well as screw connection assembly tests in double shear.Furthermore, explicit shell finite element models of the shear walls were developed and calibrated with the experimental results.Finally, a parametric study on the type of connector element was carried out to assess the behaviour of the wall.The results indicate that representing the screw-fastened connections using three uncoupled springs gave the best numerical estimate.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.213
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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 head0.031
GPT teacher head0.225
Teacher spread0.195 · 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.

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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueCivil-comp conferencesSame topicStructural Load-Bearing AnalysisFrench-language works237,207