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Record W3164786774 · doi:10.11159/iccste21.157

Use of Non-Woven Polyethylene Terephthalate (PET) Tissue toimprove Certain Properties of Concrete

2021· article· en· W3164786774 on OpenAlexvenueno aff
Sifatullah Bahij, Safiullah Omary, F. Feugeas, Amanullah Faqiri

Bibliographic record

VenueProceedings of the International Conference on Civil, Structural and Transportation Engineering · 2021
Typearticle
Languageen
FieldEngineering
TopicInnovative concrete reinforcement materials
Canadian institutionsnot available
Fundersnot available
KeywordsPolyethylene terephthalateMaterials sciencePolyethyleneComposite material

Abstract

fetched live from OpenAlex

Nowadays plastic is closely linked to the way of our life. The annual consumption of plastics has been increasing gradually. The inadequate disposal of plastic has been resulted in major environmental problems due to the shortage of space for landfilling and low biodegradability. The reuse of plastic wastes as construction materials provides a remarkable future market for waste recycling. This work aims to study the possibility of Evolon plastic non-woven sheets in concrete mixtures. For this purpose, an experimental study was conducted to investigate some properties of the ordinary concrete wrapped by non-woven PET plastic sheets. Samples with five various configurations; reference, 1-layer, 2-sides, 3-sides, and full wrapped were considered and prepared. The compressive, flexural, and split tensile strengths and ultrasonic pulse velocity (UPV) were measured. The outcomes of the study highlight that the compressive strength was improved for the wrapped samples, particularly for the cylindrical specimens. In addition, split tensile and flexural strengths of the wrapped samples improved significantly compared to the reference ones at each strengthened configuration. Moreover, it was observed that reference samples were damaged to many parts after mechanical testing, while wrapped specimens were taken by the applied configurations and were not separated into many small fragments. Therefore, non-woven fabrics are recommended to improve certain properties of the 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 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 score0.030
Threshold uncertainty score0.496

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 head0.023
GPT teacher head0.222
Teacher spread0.199 · 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

Citations3
Published2021
Admission routes1
Has abstractyes

Explore more

Same venueProceedings of the International Conference on Civil, Structural and Transportation EngineeringSame topicInnovative concrete reinforcement materialsFrench-language works237,207