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Record W2591924728 · doi:10.21838/uhpc.2016.9

The Effect of Casting Flow Defects on the Flexural Behavior of 2-way UHPFRC Slabs Investigated by Digital Image Correlation and Magnetic Assessment

2016· article· en· W2591924728 on OpenAlexaff
Marc-Antoine Baril, Luca Sorelli, Julien Réthoré, Florent Baby, François Toutlemonde, Liberato Ferrara, Marco Faifer, Sébastien Bernardi

Bibliographic record

Venuenot available
Typearticle
Languageen
FieldEngineering
TopicInfrastructure Maintenance and Monitoring
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsDigital image correlationMaterials scienceFlexural strengthBrittlenessDuctility (Earth science)BendingStructural engineeringComposite materialCastingFiber-reinforced concreteOrientation (vector space)Ultimate tensile strengthFiberEngineeringCreep

Abstract

fetched live from OpenAlex

Structural applications of Ultra High Performance Fiber Reinforced Concrete (UHPFRC)
\nhave been emerging worldwide thanks to the outstanding tensile strength and ductility of this
\ncategory of materials. From a design point of view, a critical aspect is to guarantee the ductility
\nof the structural response associated to local material non-brittleness, which strongly depends on
\nthe fiber dispersion and orientation. This work aims at considering the effect of fiber orientation
\non the biaxial behavior of UHPFRC slabs for composite bridges. Several square slabs made of
\nUHPFRC were cast by changing the concrete flow direction and the position of internal cold
\njoints. The slabs were tested under biaxial bending under hyperstatic conditions. The fiber
\norientation was measured by a non-destructive method based on the magnetic properties of the
\ncomposite, while the damage process, with emphasis on the microcrack formation and the crack
\nopening, was measured by 3D digital image correlation. Finally, approaches based on the yield
\nline method were employed to analyze the experimental results with respect to the measured
\nfiber orientation and crack distribution. The results of the present work show the important effect
\nof fiber orientation on the ductility of UHPFRC slabs and the ability of combining magnetic
\nmethods and Digital Image Correlation (DIC) analyses to capture those effects.

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: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.144
Threshold uncertainty score0.205

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 head0.003
GPT teacher head0.197
Teacher spread0.193 · 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 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".

Quick stats

Citations1
Published2016
Admission routes1
Has abstractyes

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