MétaCan
Menu
Back to cohort

Finite-Element Bond-Slip Model for Concrete Columns under Cyclic Loads

2002· article· en· W1994241410 on OpenAlex

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 · 2002
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsStructural engineeringFinite element methodMaterials scienceSlip (aerodynamics)Constitutive equationSofteningSteel barReinforced solidReinforced concreteComposite materialEngineering

Abstract

fetched live from OpenAlex

The hysteretic behavior of reinforced concrete structures depends in large measure on the transfer mechanism between reinforcing steel and concrete through bond and the resulting slip. This paper presents a finite-element model developed to investigate the response of reinforced concrete columns subjected to cyclic loading, considering in an explicit way the relative displacement at the interface. The novel aspect of the model is its capability of modeling three-dimensional effects as concrete confinement, the softening response of concrete, and to take into account the gradual deterioration of the bond between reinforcing bars and concrete. Numerical results are compared to experimental results on rectangular bridge columns with lapped starter bars subjected to cyclic loading. The numerical model reproduces the physical phenomena observed experimentally, as the gradual stress transfer from one bar to the other. The numerical results show the effect of damage in concrete on the steel stress distribution, as long as the coupled effect of damage in concrete and bond-slip constitutive law on the general behavior of the structural element.

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 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 score0.110
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 head0.020
GPT teacher head0.226
Teacher spread0.206 · 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