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Mix design variables include the percentage of cork, cork size, and the cork blend.
The commercialization of geopolymers is currently impeded by the high variability of the materials used for their synthesis and limited knowledge of the interrelationships between mix design variables.
Five easy-to-change mix design variables were evaluated for their effects on electrical conductivity and strength of ECON: carbon fiber dosage, fiber length, coarse-to-fine aggregate volume ratio (C/F), CEA dosage, and FDA dosage.
The hierarchical structure of the estimated conditional inference tree reveals the interplay between the two mix design variables (i.e., RAP content and binder grade) depending on the levels of loading frequency and temperature.
Using experimental results of concrete tested in accordance with ASTM C 672 and MTO LS-412 reported in the literature, a statistical analysis was carried out to evaluate the significance of several mix design variables, surface finishing, type of de-icing salt and duration of curing.
Based on the developed statistical model and the outlined relationships between mix design variables and the responses as shown in Table 9, all independent variables are varied simultaneously and independently in order to optimize the response.
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This study assessed the sensitivity of the Simple Punching Shear Test (SPST) to different hot-mix asphalt (HMA) mix-design variables, as part of the TxDOT efforts to improve the screening of HMA prone to rutting, permanent deformation, and shear failure under heavy traffic loading, high temperature environments, and severe shear stress conditions.
While variability was generally within the acceptable tolerance (i.e., coefficient of variation of less than 30%), the FE Index exhibited sensitivity to the mix-design variables and was able to capture the effects of changes in the asphalt-binder content and temperature variations.
When deducing the optimal mix design, we considered design variables, object functions, and constraint functions to develop the algorithm.
The first phase studied the influence of these variables on the mix design, whereas the second phase analyzed how the variables affected the mechanical performance of the mixes.
The engineering design problems usually encounter a large number of design variables, a mix type of both discrete and continuous design variables, and many design constraints.
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