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Simple Single-Surface Failure Criterion for Concrete

2009· article· en· W2023611840 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueJournal of Engineering Mechanics · 2009
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Underground Structures
Canadian institutionsWestern University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsFinite element methodStructural engineeringSimple (philosophy)Nonlinear systemCompression (physics)Tension (geology)TRACE (psycholinguistics)Computer scienceFunction (biology)Stress (linguistics)EngineeringMaterials scienceComposite material

Abstract

fetched live from OpenAlex

This technical note presents a new single-surface failure criterion for concrete that is derived using an approach developed for geologic materials. The main advantage of the proposed failure criterion is its simplicity and ease of implementation into nonlinear finite-element programs compared to existing criteria based on tension and compression meridians and a third function defining the deviatoric trace between meridians. The new failure criterion is able to closely describe concrete strength under general three-dimensional stress states and it gives improved predictions of concrete strength under plane stress conditions compared to existing single function models. A method for deriving the strength parameters is presented so that practitioners may consider adapting the function for materials such as high-strength or steel fiber-reinforced concrete. The work summarized herein is considered novel practical information that should be of use to practitioners wanting to implement simple phenomenological models for concrete in their finite element codes.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.883
Threshold uncertainty score0.909

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 head0.008
GPT teacher head0.203
Teacher spread0.195 · 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