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Influence of adding waste polyethylene terephthalate plastic strips on uniaxial compressive and tensile strength of cohesive soil

2021· article· en· W3186723712 on OpenAlexaff
Mahya Roustaei, Javad Tavana, Meysam Bayat

Bibliographic record

VenueGhent University Academic Bibliography (Ghent University) · 2021
Typearticle
Languageen
FieldEngineering
TopicGeotechnical Engineering and Soil Stabilization
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsPolyethylene terephthalateUltimate tensile strengthMaterials scienceCompressive strengthComposite materialSTRIPSPolyethylene

Abstract

fetched live from OpenAlex

Unconfined compressive strength and tensile strength are important geotechnical characteristics which are used for performance prediction and mix design in civil engineering projects. In recent years, the use of waste materials as reinforcement elements such as glass, rubber and plastic waste increased significantly. Nowadays, the use of polyethylene terephthalate (PET) has grown substantially for drink bottles which is one of the most important environmental hazards. In the current study, the effect of adding PET strips as reinforcement elements to a clayey soil has been studied by unconfined compressive strength and tensile strength tests. The compressive and tensile strengths of reinforced specimens with different PET contents (0%, 0.4%, 0.6%, 0.8% and 1% by the soil weight), lengths (12 mm to 21 mm) and widths (3 mm and 6 mm) have been investigated. It was found that addition of the PET strips to the clay resulted in an increase in both the compressive and tensile strengths. The optimum PET content was dependent on the both width and length of the PET strips. The maximum UCS was 321 kPa which observed in the specimen containing 0.8 % PET strips with 3 mm width and 18 mm length. The maximum tensile strength was 33 kPa which observed in the specimen containing 0.6 % of PET strips with 6 mm width and 15 mm length. The reinforced specimens containing I-shape PET elements exhibited a higher UCS value than that of the reinforced specimens with PET strips in most cases which is may be due to increase of friction between the soil particles and the PET elements.

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)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.764
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0060.009
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.007
GPT teacher head0.172
Teacher spread0.165 · 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 designSimulation or modeling
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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