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Record W2925877924 · doi:10.1680/jmacr.18.00564

Numerical modelling of interfacial transition zone influence on elastic modulus of concrete

2019· article· en· W2925877924 on OpenAlex
Peiyao Sheng, Zengtao Chen, Yi Cui, Jizhi Zhang, Huan Zhang, Zhong Ji

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
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".

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

VenueMagazine of Concrete Research · 2019
Typearticle
Languageen
FieldEngineering
TopicComposite Material Mechanics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsMaterials scienceElastic modulusAggregate (composite)Volume fractionComposite materialCompressive strengthModulusYoung's modulusAggregate modulusFinite element methodStructural engineeringDynamic modulusDynamic mechanical analysisPolymerEngineering

Abstract

fetched live from OpenAlex

Concrete is a highly complex and heterogeneous three-phase composite composed of aggregates, matrix and the interfacial transition zone (ITZ) between them. As the weakest structure of concrete, the ITZ is often ignored due to difficulty in its modelling using the finite-element method. In this paper, concrete models with high-volume fractions of aggregates are established, in which the ITZ structure is considered. The numerical results for compressive elastic modulus are in good agreement with those obtained from experiments. The influence of the volume fraction, the size of aggregate and the thickness and compressive elastic modulus of ITZ on the compressive properties of concrete have been investigated. The numerical analyses show that the increase of the aggregate volume fraction, ITZ compressive elastic modulus, or the decrease of the ITZ thickness can all lead to the increase of the concrete compressive elastic modulus, while the aggregate size only has a mild effect on it.

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)0.001
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: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.264
Threshold uncertainty score0.683

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.030
GPT teacher head0.273
Teacher spread0.243 · 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