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Record W1786707488

Study of mechanical compatibility at the mortar-block interface in a heritage building

2013· preprint· fr· W1786707488 on OpenAlexfundno aff
Hichame Fihri Fassi, Youness Hammou, Laurent VanParys, Mustapha Bideq, Thierry Descamps, Simone Tironi, T. Lamant

Bibliographic record

VenueDSpace (Centre National De La Recherche Scientifique) · 2013
Typepreprint
Languagefr
FieldEngineering
TopicMasonry and Concrete Structural Analysis
Canadian institutionsnot available
FundersAgence Universitaire de la Francophonie
KeywordsCompatibility (geochemistry)MortarArchitectural engineeringBlock (permutation group theory)Materials scienceComputer scienceConstruction engineeringEngineeringComposite materialGeometryMathematics
DOInot available

Abstract

fetched live from OpenAlex

ce travail a pour objectif de modéliser l'ensemble mortier/bloc et d'analyser la résistance mécanique à l'interface. l'étude prend comme support d'étude une batisse historique au Maroc. Nous choisissons un mur de la construction et nous procédons à une simulation numérique. Nous étudierons la répartition des contraintes dans le mur. Deux cas seront considérés : un mur sollicité non restauré et un mur sollicité non restauré. Le but de ces simulations étant de comparer les répartitions des contraintes dans chacun des deux cas afin de justifier ou non l’intérêt de l’utilisation d’un mortier de restauration de faible résistance. Les caractéristiques mécaniques obtenues lors des essais non-conventionnels, en l’occurrence le module d’élasticité statique et le coefficient de Poisson seront utilisés dans cette analyse. le comportement du système est considéré comme élastoplastique.

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)0.010
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Research integrity, Insufficient payload (model declined to judge)
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 score0.036
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0100.003
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0010.003
Insufficient payload (model declined to judge)0.0020.000

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 head0.100
GPT teacher head0.344
Teacher spread0.244 · 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.

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

Citations1
Published2013
Admission routes1
Has abstractyes

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