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Record W4412379119 · doi:10.26634/jste.14.1.22133

To identify effect of fibers on durability properties of concrete due to chloride penetration

2025· article· en· W4412379119 on OpenAlex

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

Venuei-manager’s Journal on Structural Engineering · 2025
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsTrinity College
Fundersnot available
KeywordsDurabilityPenetration (warfare)ChlorideComposite materialMaterials scienceMetallurgyEngineering

Abstract

fetched live from OpenAlex

Concrete durability is a paramount concern due to its, direct impact on the infrastructure longevity and structural integrity. Rapid chloride penetration and electrical resistivity are pivotal parameters for assessing durability, where chloride ingress leads to reinforcement corrosion and resistivity reflects pore connectivity and moisture content. This study investigates the efficacy of diverse fiber blends and curing compounds in bolstering concrete durability, employing the Electric Resistivity Test and Rapid Chloride Penetration Test (RCPT) for evaluation. Through a comprehensive literature review and experimental exploration, various fiber types, proportions, and curing compounds were scrutinized. Concrete specimens reinforced with 0.66% Steel fibers, SF 0.36% + 0.3% GF, SF 0.36% + 0.3% PPF were cured with different compounds and tested for chloride penetration and electrical resistivity. Results unveiled the substantial decrease of chloride penetration and electric resistivity in fiber-reinforced concrete compared to plain concrete is approximately 25% and 65% respectively. Amongst all the curing compounds used Fosroc concure 1315 and Razon CCC 105 ACY exhibits best results.

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.

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 categoriesMeta-epidemiology (narrow)
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 score0.376
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
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 head0.009
GPT teacher head0.256
Teacher spread0.247 · 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