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Record W2074565013 · doi:10.1080/19648189.2010.9693261

A mesoscopic model for a better understanding of the transition from diffuse damage to localized damage

2010· article· en· W2074565013 on OpenAlexfundno aff
Claire Lawrence, Christian La Borderie, Mohammed Matallah, Georges Nahas

Bibliographic record

VenueEuropean Journal of Environmental and Civil engineering · 2010
Typearticle
Languageen
FieldEngineering
TopicRock Mechanics and Modeling
Canadian institutionsnot available
FundersInstitut de Radioprotection et de SÛreté NucléaireAgence Nationale de la RechercheUniversity of Guelph
KeywordsMesoscopic physicsDilatantAggregate (composite)Tension (geology)Materials scienceCompression (physics)Scale (ratio)Structural engineeringMechanicsComposite materialPhysicsEngineeringCondensed matter physics

Abstract

fetched live from OpenAlex

ABSTRACT The aim of this paper is to present a modelling of mechanical behaviour of concrete on a mesoscopic scale. Concrete is considered as a bi-phasic material where the cement paste and the aggregates are described with their own mechanical characteristics. Firstly, the model is studied in two dimensions in order to optimize the geometrical model of the inner structure of concrete in terms of the meshing strategy and the smallest size of the aggregate to be taken into account. The model shows interesting results on the transition from diffuse to localized damage and is able to reproduce dilatancy in compression. Finally, results of the three-dimensional model are shown in tension.

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 categoriesnone
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 score0.625
Threshold uncertainty score0.369

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 head0.010
GPT teacher head0.165
Teacher spread0.155 · 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.

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

Citations31
Published2010
Admission routes1
Has abstractyes

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