2020
DOI: 10.1016/j.conbuildmat.2020.120701
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Modeling and optimization of mixing conditions for petroleum sludge modified bitumen using response surface methodology

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Cited by 46 publications
(15 citation statements)
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“…First, the independent variables and their range of change were defined, and then the experimental results obtained were entered into the RSM as a response function. The results were defined by statistical analysis, and both optimum experimental conditions and optimum mixing ratios were evaluated [39][40][41][42]. In Fig.…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…First, the independent variables and their range of change were defined, and then the experimental results obtained were entered into the RSM as a response function. The results were defined by statistical analysis, and both optimum experimental conditions and optimum mixing ratios were evaluated [39][40][41][42]. In Fig.…”
Section: Response Surface Methodology (Rsm)mentioning
confidence: 99%
“…The analysis of variance (ANOVA) statistical technique was also applied to determine the difference between two or more means or variables through significance tests, as it provides a way to make multiple comparisons of several population means [ 55 ]. After assigning low and high levels of designated factors, the design matrix comprised of 28 simulation runs was generated [ 56 ]. This matrix also included replicates of the central points in the attempt to have more reliability in the design and the analysis, as depicted in Table 4 [ 57 ].…”
Section: Methodsmentioning
confidence: 99%
“…The central composite design (CCD) approach was used for the design of the experiment (DoE) based on two independent factors (temperature and IWPET content). Central Composite Design (CCD) is the most widely used and efficient method used to statistically evaluate the interaction among the independent variables and the responses within the experimental range [ 31 , 38 , 49 , 50 , 51 ]. For the dependent variable stiffness modulus, the independent variable test temperature was varied in three levels (10 °C, 25 °C, and 40 °C), and IWPET contents were varied in five levels (0%, 10%, 20%, 30%, and 40% replacement by volume of equal size), as illustrated in Table 3 .…”
Section: Methodsmentioning
confidence: 99%