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Record W4232682796 · doi:10.32920/ryerson.14660277.v1

Mechanical And Structural Properties Of Ultra High Performance Fiber Reinforced Concrete

2021· preprint· en· W4232682796 on OpenAlexaff
Kirllos Wahba

Bibliographic record

Venuenot available
Typepreprint
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsToronto Metropolitan University
Fundersnot available
KeywordsMaterials scienceUltimate tensile strengthFlexural strengthComposite materialCrackingStiffeningReinforcementShear (geology)Fiber-reinforced concreteStructural engineeringFiberTension (geology)Engineering

Abstract

fetched live from OpenAlex

Ultra High Performance Fiber Reinforced Concrete (UHPFRC) is beginning to revolutionize the construction industry. The research presented discusses an experimental pro gram designed toinvestigate the mechanical and structural properties of UHPFRC. The mechanical properties focused on examining the tensile behavior by testing the fracture energy, tension stiffening and shear friction properties of UHPFRC. The structural properties focused on investigating behaviors such as; flexure and shear. The tensile behavior proved to be significantly improved by the use of fibers. Results show an ultimate tensile strength twice the cracking tensile strength. The shear friction was also enhanced due to the fiber reinforcement. Improved design equation, with great accuracy when compared to experimental results are proposed. The addition of fibers, significantly improved the shear and flexure behavior of reinforced beams. The influence of the fiber reinforcement was of very significant; promoting flexural failure in reinforced beams rather than the shear failure when compared to normal and high strength concrete.

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 categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
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 score0.052
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
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)0.0010.000

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 head0.017
GPT teacher head0.209
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.

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

Citations5
Published2021
Admission routes1
Has abstractyes

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