Completely random experimental design with mixture and process variables for optimization of rubberized concrete

Vieira, Raimundo Kennedy; Soares, Rafael Celestino; Pinheiro, Samantha C.; Paiva, Otávio Augusto; Eleutério, José O.; Vasconcelos, Raimundo Pereira de

doi:10.1016/j.conbuildmat.2010.02.013

Cited by 19 publications

(14 citation statements)

References 25 publications

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“…These results contradict the those of Valadares (2009) which may be related to the origin of the wastes used in each case (car, truck or motorcycle): wastes of different origins may possess different chemical compositions, leading to different adhesion between the cement paste and the rubber waste. Vieira et al (2010) studied three types of rubber waste ( Fig. 13.3) and three volume percentages (2.5%, 5% and 7.5%), reporting that the best mechanical performance was obtained using just 2.5% of the tyre rubber with 2.4 mm.…”

Section: Hardened Concrete Propertiesmentioning

confidence: 98%

“…13.4). albano et al (2005) studied concrete composites containing scrap rubber previously treated with naoh and silane in order to enhance the adhesion between the rubber and the cement paste without noticing significant changes, (Vieira et al, 2010).…”

Section: Hardened Concrete Propertiesmentioning

confidence: 99%

“…pyreco.com). although tyre rubber wastes are already used for paving purposes, only a part of these wastes can be recycled (Vieira et al, 2010). one alternative is the formation of artificial reefs but some investigations have already questioned the validity of this option (hartwell et al, 1998).…”

Section: Introductionmentioning

confidence: 98%

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Concrete with polymeric wastes

Pacheco-Torgal

Ding

2013

Eco-Efficient Concrete

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Section: Hardened Concrete Propertiesmentioning

confidence: 98%

Section: Hardened Concrete Propertiesmentioning

confidence: 99%

See 1 more Smart Citation

Concrete with polymeric wastes

Pacheco-Torgal

Ding

2013

Eco-Efficient Concrete

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“…Vieira [9] used this methodology to determine the best percentage and size of the rubber tire that could be included to concrete for best performance. The first stage of this methodology is to define the experimental design to schedule how the variables will be studied.…”

Section: Introductionmentioning

confidence: 99%

“…Situations where mixture and process variables are studied concomitant and its experiments are planned to be done in a completely random mode are encountered in the literature [9] [15] [16]. Although, there is a great number of problems with proposition of solution using a multivariate strategy presented in literature; however, are found just feel cases where the variables of process and mixture are simultaneous studied.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Expanded Polystyrene Lightweight Aggregate in Pre-Cast Concrete Blocks by a Completely Random Experimental Design (CRED) with Mixture and Process Variables

Vieira¹,

Vasconcelos²,

Marangoni³

et al. 2016

OJS

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The aim of this study was to determine the optimum design mix to produce precast concrete blocks by a completely random experimental design (CRED) with mixture and process variables. The polymerized concrete was studied its composition: Cement, and water defined as the mixture compounds. To choose the best model, all the possible models were assessed through the ANOVA, which tested each possible model. The linear-linear model was preferred, since that do not present evidence of lack of fit, and it is capable of relating how to react the process variables, when are changed the variable mixture condition levels. The optimum experimental condition, obtained for the polymerized concrete, was: The size of the polystyrene beads was 4.8 mm sized polystyrene beads, 5.0% polystyrene that replaced the aggregate, 18.3% cement, 73.4% aggregate and 8.3% water. In this condition, the blocks made with polymerized concrete show a compressive strength above 15 Mpa, allowing its utilization in paving.

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A full factorial‐based desirability function approach to investigate optimal mixture ratio of polymer concrete

Şimşek

Uygunoğlu

2017

Polymer Composites

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Polymers in concrete are preferred because they provide thermal insulation in terms of providing energy saving and water resistance and also they reduce the compressive strength of the concrete. Reaching the desired level of heat insulation on an acceptable level of compressive strength has been achieved by the multiresponse optimization methods. In this study, thermal, workability, and mechanical properties of polymer, such as thermoplastic polyurethane, polycarbonate, and polybutylene terephthalate mixed concrete, were analyzed and optimized with the use of full factorial design‐based desirability function approach via Minitab® version 15. The results show that polycarbonate is the most attractive polymer to produce polymer concrete, which includes low thermal conductivity. The results also show that thermoplastic polyurethane has positively effect on 28‐day splitting tensile strength. In contrast, thermoplastic polyurethane and polycarbonate have a significant effect in reducing the percentage of water absorption. These materials could be used in application, which requires water resistance. It was concluded that experimental designs, which take into account of interaction effects, such as full factorial design, should be used to determine on the optimal mixture parameters of polymer concrete. POLYM. COMPOS., 39:3199–3211, 2018. © 2017 Society of Plastics Engineers

show abstract

Completely random experimental design with mixture and process variables for optimization of rubberized concrete

Cited by 19 publications

References 25 publications

Concrete with polymeric wastes

Concrete with polymeric wastes

Optimization of Expanded Polystyrene Lightweight Aggregate in Pre-Cast Concrete Blocks by a Completely Random Experimental Design (CRED) with Mixture and Process Variables

A full factorial‐based desirability function approach to investigate optimal mixture ratio of polymer concrete

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