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Record W4406190149 · doi:10.1061/jbenf2.beeng-6698

Lateral Cyclic Response of Bridge Columns Reinforced with CSA G30.18 500W High-Strength Steel

2025· article· en· W4406190149 on OpenAlexaff
Sisay Tadele, Saif Aldabagh, Jhordy Rodríguez, M. Shahria Alam

Bibliographic record

VenueJournal of Bridge Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsStructural engineeringMaterials scienceBridge (graph theory)Composite materialHigh strength steelCyclic stressForensic engineeringEngineering

Abstract

fetched live from OpenAlex

RC structures that are expected to experience significant inelastic deformation require reinforcing steel bars that can endure substantial plastic displacements. Bridge columns’ longitudinal reinforcing rebars have shown buckling, followed by fatigue fracture, especially on the tension side of the RC members. The current research presents the results of an experimental investigation conducted on the seismic performance assessment of two circular RC bridge columns with varying aspect ratios, both reinforced with CSA G30.18 500W. The seismic performance of the bridge columns is evaluated by comparing the hysteresis response, dissipated energy, drift, and ductility measurements against those of columns reinforced with regular-strength steel. A parametric numerical study is also conducted to understand the effect of reinforcement grade, axial load ratio, and aspect ratio on the seismic response of RC bridge piers. The results show that CSA G30.18 500W exhibits acceptable performance where ultimate drifts of 6.35% and 7.3% were achieved for aspect ratios of 3 and 6, respectively.

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: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.661
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
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.008
GPT teacher head0.219
Teacher spread0.211 · 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
Published2025
Admission routes1
Has abstractyes

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