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Record W3099068701 · doi:10.1139/cjce-2020-0151

Design of built-up steel beam-columns composed of two-channel sections

2020· article· en· W3099068701 on OpenAlexaffvenue
George Iskander, E.S.A. Soliman, E.Y. Sayed-Ahmed

Bibliographic record

VenueCanadian Journal of Civil Engineering · 2020
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsUniversity of Calgary
Fundersnot available
KeywordsStructural engineeringParametric statisticsFinite element methodBeam (structure)Nonlinear systemChannel (broadcasting)EngineeringMathematics

Abstract

fetched live from OpenAlex

Built-up columns composed of two chords present an ideal design for long columns subject to high straining actions. The objective of this paper is to investigate the capacity of built-up columns composed of two-channel sections subjected to eccentric loading and propose a design method for them. A nonlinear numerical finite element model is developed for these columns and verified against experimental investigation available from literature; the model includes both the geometric and material nonlinearities along with the effect of initial imperfections. The model is used to perform a parametric study to investigate the effect of different factors on the built-up columns’ capacity. The results of the parametric study are also used to propose a design method for these columns. A limited experimental investigation is performed on two eccentrically loaded built-up columns, the results of experimental work showed good agreement with the numerical model results and the proposed design method.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.288
Threshold uncertainty score0.854

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
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 head0.019
GPT teacher head0.192
Teacher spread0.173 · 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

Citations4
Published2020
Admission routes2
Has abstractyes

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