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Record W4412118342 · doi:10.1061/jsendh.steng-14512

Elastic Lateral Torsional Buckling Resistance of I-Beams Strengthened with Side Plates

2025· article· en· W4412118342 on OpenAlex
Wenbin Xie, Amin Iranpour, Magdi Mohareb

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

VenueJournal of Structural Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsUniversity of Ottawa
Fundersnot available
KeywordsBucklingStructural engineeringMaterials scienceComposite materialEngineering

Abstract

fetched live from OpenAlex

The present study investigates the elastic lateral torsional buckling capacity for steel I-beams strengthened with side plates. The provision of side plates near the ends of a simply supported beam is intended to largely suppress end warping deformations, thus increasing beam lateral torsional buckling resistance. However, a shell-based finite-element investigation in the present study shows that such strengthening detail increases the beam’s susceptibility to distortional lateral buckling, a phenomenon that partially offsets the capacity gained by providing side plates, and complicates the quantification of the net gain achieved. The study first proposes practical details to suppress distortional effects. An approximate technique to quantify the critical moment for the strengthened system is then developed founded on an energy-based approximation in conjunction with dimensional analysis. A parametric study is next conducted to provide a database of runs to serve as a basis to develop design coefficients. The study culminates in a simple and reliable design-oriented critical moment equation for beams strengthened with side plates.

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 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 score0.558
Threshold uncertainty score0.810

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 head0.002
GPT teacher head0.181
Teacher spread0.178 · 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