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Various models have been reported for the mixture design of UHPC.
Furthermore, statistical models were also proposed for the mixture design of UHPC.
For instance, Larrad and Sedran (1994) proposed a linear packing density model (LPDM) for the mixture design of UHPC.
Therefore, SPT has a potential to improve the mixture design of PA mixture.
Thus, a mixture design of experiments (DoE) was performed at pilot scale.
In another study, Ghafari et al. (2015) used a statistical mixture design (SMD) model for optimizing the mixture design of UHPC.
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Also, it is recommended to use other mixture designs of experiment like simplex lattice or augmented simplex lattice for modeling and optimization of the print properties.
This article explores the potential of Kernel-Partial Least Squares (K-PLS) regression for the analysis of data proceeding from mixture designs of experiments.
The use of mixture design for optimization of mobile phases is also related.
Hence using an optimized aggregate mix proportion having least void content, a series of polymer concretes of different compositions were designed on the basis of mixture design concept of design of experiments.
In mixture design, all of the components and their levels are not independent of each other, as the sum of the proportions of the mixture components is always 1 [45].
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