Recycling of plastic box waste in the concrete mixture as a percentage of fine aggregate

Adnan, Hamsa Mahir; Dawood, Abbas O.

doi:10.1016/j.conbuildmat.2021.122666

Cited by 38 publications

(9 citation statements)

References 22 publications

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“…Ductility index increased with increasing the PET waste percentage in the concrete beams, where beams B 5 %, B 7.5 %, B 10 %, B 12.5 %, B 15 %, and B 20 % recorded ductility indices of 3.21, 3.78, 3.83, 4.40, 5.18, and 5.47, respectively, with increase ratios of 12.13 %, 32.04 %, 34.03 %, 53.82 %, 81.12 %, and 91.37 %, respectively, compared with the reference beam that recorded the lowest ductility index of 2.89. This finding corresponds to Kim's conclusion in his study of the effect of PET fibers on the structural behavior of concrete beams [10] and Adnan's conclusion in the investigation ofthe effect of using plastic box waste as a percentage of fine aggregate on the structural behavior of concrete beams [24].…”

Section: Ductility Indexsupporting

confidence: 88%

Structural Behavior of Reinforced Concrete Beams Containing Pet Waste Particles as Sand Replacement

Falih

Dawood

Al-Khazraji

2022

Civil and Environmental Engineering

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This paper examined the polyethylene terephthalate (PET) polymer waste effect that using as a partial replacement for fine aggregate on the R.C beams structural behavior. Six replacement percentages by weight were used in this study: 5 %, 7.5 %, 10 %, 12.5 %, 15 %, and 20 %. Seven concrete beam specimens with dimensions of 150 × 300 × 2300 mm were tested, in which one specimen for each PET replacement percentage was added to the reference specimen. four-point load setting were used to test all specimens via failure load, maximum deflection, energy absorption, stiffness, ductility index, flexural strain, first crack load, and crack pattern. Results showed that raising of PET percentage in the concrete beams leads to an increase in failure load, maximum deflection, ductility index, strain, and energy absorption compared with the reference beam in the ranges 0 – 4 %, 23.2 – 93.7 %, 12.13 – 93 %, 432 – 1139 %, and 51.8 – 275.4 %, whereas its causes a decrease in initial stiffness and secant stiffness in the ranges 5.8 – 38.44 % and 19.2 – 46.4 %. Moreover, crack investigations revealed that the load at which the first crack forms raise when the PET waste content increases.

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Section: Ductility Indexsupporting

confidence: 88%

Structural Behavior of Reinforced Concrete Beams Containing Pet Waste Particles as Sand Replacement

Falih

Dawood

Al-Khazraji

2022

Civil and Environmental Engineering

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“…5. Generally, the partial replacement of natural sand with PP was accompanied by reductions in both strengths [1,17,21,25,26]. More importantly, the addition of small portions of EVA brought positive changes to the strain patterns.…”

Section: Mechanical Propertiesmentioning

confidence: 96%

“…5a). Note that the increased pore volume of matrices with RWP could also reduce the overall mechanical performances [17,21,115], resulting in poorer bonding between RWPs and the cement matrix. The pore volumes of matrices were observed by l-XCT and discussed in the following section.…”

Section: Mechanical Propertiesmentioning

confidence: 99%

“…Although plastic can reduce fire rating of concrete due to its low melting temperature [10][11][12][13], it offers preferable characteristics as a concrete component, such as great durability, large flexibility, and high availability [14][15][16]. In addition to reducing wastes and saving energy and lands, the use of plastic as aggregates reduces the overall construction cost owing to its lightweight compared with typical natural aggregates [17][18][19].…”

Section: Introductionmentioning

confidence: 99%

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Enhanced recyclability of waste plastics for waterproof cementitious composites with polymer-nanosilica hybrids

Al-Mansour

Yang

et al. 2022

Materials & Design

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“…The rubber is responsible for increasing the elasticity and damping of the novel aseismic material, and the river sand is utilized to provide enough strength for it. Although some novel fine aggregates were put forward instead of river sand, e.g., blast furnace slag [ 33 ], waste glass [ 34 ] and plastic box waste [ 35 ], low workability and some substandard physical properties (e.g., voids and abrasion) make them difficult to be adopted in practical projects [ 36 ]. Therefore, river sand is still considered the ideal fine aggregate for composing the novel concrete material in this work.…”

Section: Experiments Of a Novel Aseismic Concrete Materialsmentioning

confidence: 99%

Application of the Improved POA-RF Model in Predicting the Strength and Energy Absorption Property of a Novel Aseismic Rubber-Concrete Material

et al. 2023

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The application of aseismic materials in foundation engineering structures is an inevitable trend and research hotspot of earthquake resistance, especially in tunnel engineering. In this study, the pelican optimization algorithm (POA) is improved using the Latin hypercube sampling (LHS) method and the Chaotic mapping (CM) method to optimize the random forest (RF) model for predicting the aseismic performance of a novel aseismic rubber-concrete material. Seventy uniaxial compression tests and seventy impact tests were conducted to quantify this aseismic material performance, i.e., strength and energy absorption properties and four other artificial intelligence models were generated to compare the predictive performance with the proposed hybrid RF models. The performance evaluation results showed that the LHSPOA-RF model has the best prediction performance among all the models for predicting the strength and energy absorption property of this novel aseismic concrete material in both the training and testing phases (R2: 0.9800 and 0.9108, VAF: 98.0005% and 91.0880%, RMSE: 0.7057 and 1.9128, MAE: 0.4461 and 0.7364; R2: 0.9857 and 0.9065, VAF: 98.5909% and 91.3652%, RMSE: 0.5781 and 1.8814, MAE: 0.4233 and 0.9913). In addition, the sensitive analysis results indicated that the rubber and cement are the most important parameters for predicting the strength and energy absorption properties, respectively. Accordingly, the improved POA-RF model not only is proven as an effective method to predict the strength and energy absorption properties of aseismic materials, but also this hybrid model provides a new idea for assessing other aseismic performances in the field of tunnel engineering.

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Recycling of plastic box waste in the concrete mixture as a percentage of fine aggregate

Cited by 38 publications

References 22 publications

Structural Behavior of Reinforced Concrete Beams Containing Pet Waste Particles as Sand Replacement

Structural Behavior of Reinforced Concrete Beams Containing Pet Waste Particles as Sand Replacement

Enhanced recyclability of waste plastics for waterproof cementitious composites with polymer-nanosilica hybrids

Application of the Improved POA-RF Model in Predicting the Strength and Energy Absorption Property of a Novel Aseismic Rubber-Concrete Material

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