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Disturbed Stress Field Model for Reinforced Concrete: Validation

2001· article· en· W2200470658 on OpenAlexaff
Frank J. Vecchio, Derek Lai, Wonbo Shim, Jia Q. Ng

Bibliographic record

VenueJournal of Structural Engineering · 2001
Typearticle
Languageen
FieldEngineering
TopicStructural Behavior of Reinforced Concrete
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsStructural engineeringStress fieldStress (linguistics)Field (mathematics)Shear (geology)Principal stressCompression (physics)Slip (aerodynamics)Shear stressMaterials scienceMechanicsGeotechnical engineeringGeologyMathematicsPhysicsFinite element methodEngineeringComposite material

Abstract

fetched live from OpenAlex

The results of analytical investigations are presented supporting the disturbed stress field model as a viable conceptual model for describing the behavior of cracked reinforced concrete elements. The theory is shown to be phenomenologically more correct, relative to typical fixed-crack or rotating-crack models, in its representation of the rotation of stress and strain fields in cracked concrete. The inclusion of rigid slip along crack surfaces allows for a divergence between principal stress and principal strain directions in the concrete, with the rotation of stresses and crack directions shown to typically lag behind that of strains. This behavior is found to be consistent with experimentally observed response. Corroboration with data from beam, panel, and shear wall test specimens shows the theory to accurately model response over a wide range of conditions. In general, results are improved relative to those obtained from the modified compression field theory. Current deficiencies in the theory are identified, and possible future work is discussed.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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: none
Teacher disagreement score0.010
Threshold uncertainty score0.020

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0020.001

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 head0.011
GPT teacher head0.233
Teacher spread0.221 · 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 source (direct Gemma or distilled Codex), 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

Citations296
Published2001
Admission routes1
Has abstractyes

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Same venueJournal of Structural EngineeringSame topicStructural Behavior of Reinforced ConcreteFrench-language works237,207