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Record W4400235034 · doi:10.11159/iccste24.250

Hysteresis Behavior of Thin-Walled Steel Tubular Columns under Cyclic LoadingHysteresis Behavior of Thin-Walled Steel Tubular Columns under Cyclic Loading

2024· article· en· W4400235034 on OpenAlexvenueno aff
Iraj H. P. Mamaghani, Mwaura Njiru

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2024
Typearticle
Languageen
FieldEngineering
TopicStructural Load-Bearing Analysis
Canadian institutionsnot available
Fundersnot available
KeywordsMaterials scienceHysteresisComposite materialCondensed matter physics

Abstract

fetched live from OpenAlex

This paper investigates the stability of thin-walled steel tubular columns when subjected to cyclic bidirectional loading.It compares their behavior under conventional cyclic unidirectional loads, examining the decline in strength and ductility due to severe cyclic bidirectional loads using nonlinear finite element analysis and experimental data.Pseudo-dynamic bidirectional tests from existing literature validate the finite element analysis.The results underscore the significance of understanding steel column behavior under bidirectional loading.Both bidirectional tests and finite element analysis reveal the complex behavior of tubular columns, characterized by a circular trajectory post-local buckling.This trajectory leads to a monotonic development of the local buckling bulge and larger residual deformations.In contrast, unidirectional loading tests and analyses tend to underestimate earthquake-induced damage and residual displacements.Thus, it's crucial to consider bidirectional loading effects in evaluating ductility and designing for seismic resistance in steel structures.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.457
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 communication0.0000.001
Open science0.0010.000
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 head0.016
GPT teacher head0.233
Teacher spread0.217 · 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 designBench or experimental
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
Published2024
Admission routes1
Has abstractyes

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