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Record W4382914108 · doi:10.5281/zenodo.8108884

FLEXURAL BEHAVIOUR OF HOLLOWCORE SLABS STRENGTHENED WITH PRESTRESSED CARBON FIBER REINFORCED POLYMER PLATES

2023· paratext· en· W4382914108 on OpenAlex
Amr Abdel Havez, Adil Al‐Mayah

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

VenueZenodo (CERN European Organization for Nuclear Research) · 2023
Typeparatext
Languageen
FieldMaterials Science
TopicNatural Fiber Reinforced Composites
Canadian institutionsUniversity of Waterloo
Fundersnot available
KeywordsMaterials scienceComposite materialFlexural strengthPolymerCarbon fiber reinforced polymerFiberStructural engineeringReinforced concreteEngineering

Abstract

fetched live from OpenAlex

Strengthening structures with externally prestressed carbon fiber reinforcement polymer (CFRP) plates has been proven to be an effective method to improve the serviceability and the ultimate performance of the concrete structures. However, it has not been widely used in the field due to the challenges associated with the prestressing and anchoring techniques. This paper presents a part of a comprehensive experimental program aiming to investigate the flexural behaviour of full-scale prestressed hollow-core slabs (PHCS) strengthened with externally bonded and unbonded prestressed CFRP plates using a novel field-applicable wedge anchorage system. The tested slabs were strengthened with bonded and unbonded CFRP plates using various prestressing levels. The ultimate and cracking loads were increased by as much as 31.5% and 25%, respectively, for the strengthened slabs compared to the control slab. In addition, a significant enhancement of 95% in the ductility was observed for the slab strengthened with bonded and anchored plates.

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)0.000
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 categoriesInsufficient payload (model declined to judge)
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 score0.197
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0020.002
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0370.030

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 head0.023
GPT teacher head0.243
Teacher spread0.221 · 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