Mechanical and physical properties and morphology of concrete containing plastic waste as aggregate

Belmokaddem, Mohammed; Mahi, Abdelkader; Senhadji, Y.; Pekmezci, Bekir Yılmaz

doi:10.1016/j.conbuildmat.2020.119559

Cited by 151 publications

(64 citation statements)

References 46 publications

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“…More recently, [74] covered the use of PVC waste (and also high-density polyethylene and polypropylene waste) as fine and coarse aggregates in concrete compositions. The authors made use of a polymer-based superplasticizer optimized according to the plastic content of each sample (as they anticipated the waste addition would induce a loss in workability) and reported a decrease in density of fresh and hardened concrete proportional to the amount of waste aggregate utilized (up to 75% plastic aggregate in volume).…”

Section: Polyvinyl Chloridementioning

confidence: 99%

Advantages and shortcomings of the utilization of recycled wastes as aggregates in structural concretes

Miraldo

Lopes

Pacheco-Torgal

et al. 2021

Construction and Building Materials

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h i g h l i g h t sComprehensive, systematic review on current state of the art concerning the utilization of a wide array of wastes as aggregates, in ordinary Portland cement concrete compositions, for structural applications. Analysis of the advantages and shortcomings for each recycling material in the context of the adoption of circular patterns in the construction sector life cycle. Evaluation of alkali-activated binders as an alternative for overcoming important shortcomings of Portland cement-based structural concretes.

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Section: Polyvinyl Chloridementioning

confidence: 99%

Advantages and shortcomings of the utilization of recycled wastes as aggregates in structural concretes

Miraldo

Lopes

Pacheco-Torgal

et al. 2021

Construction and Building Materials

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“…However, there are some disadvantages in the application of PET fiber. Some of the disadvantages of the use of plastic fiber are lower alkali resistance [10], lower flexural strength [11], and lower dynamic elastic modulus [12].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation for Mechanical Behaviour of Concrete Incorporating Recycled Plastic Bottle Fibers as Locally Available Materials

2021

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The objective of the study is to investigate the influence of Polyethylene Terephthalate (PET) recycled plastic bottle fibers on the compressive strength and cracking of concrete. In this study, two types of fiber are used: straight and zigzag fibers whose length and aspect ratio are 40 mm and 40 respectively. 0, 0.75, and 1.25% volume fractions of fibers replacing the volume of coarse aggregates are used in this investigation. According to ACI 211.1-91, design mixing ratio 1:2:3 for M20 concrete and water-cement ratio 0.58 are used. Curing is done in field condition and weathering action is allowed in curing time. The destructive compressive strength test shows that the compressive strength of plain concrete is 19.84 MPa, at 0.75 and 1.25% replacement for concrete with straight fibers are 19.54 and 18.84 MPa, and at 0.75 and 1.25% replacement for concrete with zigzag fibers are 18.49 and 15.69 MPa. The non-destructive compressive strength test shows that the compressive strength of plain concrete is 13.58 MPa, at 0.75 and 1.25% replacement for concrete with straight fibers are 10.36 and 8.82 MPa, and at 0.75 and 1.25% replacement for concrete with zigzag fibers are 8.21 and 8.10 MPa. The use of fibers changes the failure mode. The addition of fibers decreases the workability and cracking of concrete. Zigzag fiber slightly shows interlocking property with concrete. The addition of PET plastic fibers increases the ductility of concrete. Doi: 10.28991/cej-2021-03091684 Full Text: PDF

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“…Plastic material is widely used in manufacturing and daily applications, with a global annual production of 335 million tons in 2016 (Belmokaddem et al 2020). One of the main concerns associated with the extensive applications of plastics comes from the large amount of generated waste.…”

Section: Introductionmentioning

confidence: 99%

Convolutional neural network for identification of plastic solid waste using near infrared spectroscopy

Xia¹,

Huang²,

Li³

et al. 2021

Preprint

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Plastic waste is a relevant challenge for waste management sector and further technological means has to be urgently researched. Near infrared spectroscopy (NIR), as a non-destructive, cost-effective and mature technology, is currently operational in some waste-sorting facilities. However, NIR remains challenging to discriminate different black plastics because black targets have low reflectance in the its spectral region. Therefore, this study aimed to address the problem in black plastic classification. Seven kinds of plastics: High Impact Polystyrene (HIPS), Acrylonitrile Butadiene Styrene (ABS), High Density Polyethylene (HDPE), Polyethylene terephthalate (PET), Polyamide 66 (PA66), Polycarbonate (PC) and Polypropylene (PP), were prepared for analysis, in which black plastic accounted for half of the total samples (84/159). Some methods such as partial least squares discrimination analysis (PLS-DA), soft independent modelling of class analogy (SIMCA), linear discriminant analysis (LDA) and convolutional neural network (CNN) were used to classify the plastics. Coupling with proper preprocessing methods, PLS-DA and LDA could provide an accuracy of 57.00%, and SIMCA of 69.98%. Meanwhile, the NIR spectra fed into the CNN model as one-dimensional data, the accuracy of CNN model could reach 98.00%. Compared to the SIMCA, PLS-DA and LDA, the accuracy of CNN provided an average improvement of 28-41%. Results demonstrated that NIR spectra combined with CNN gave an excellent accuracy which was potential to solve the bottleneck problem of black plastic discrimination.

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Mechanical and physical properties and morphology of concrete containing plastic waste as aggregate

Cited by 151 publications

References 46 publications

Advantages and shortcomings of the utilization of recycled wastes as aggregates in structural concretes

Advantages and shortcomings of the utilization of recycled wastes as aggregates in structural concretes

Performance Evaluation for Mechanical Behaviour of Concrete Incorporating Recycled Plastic Bottle Fibers as Locally Available Materials

Convolutional neural network for identification of plastic solid waste using near infrared spectroscopy

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