Application of nonlinear PCR for optimization of hybrid binder used in construction materials
The research is aimed at optimization of a hybrid binder formulation that includes water solution of sodium silicate (water glass) and polyisocyanate. Optimization is performed with respect to ten output quality characteristics. Calibration modeling is done as a two-step procedure. At first, PCA is applied to the X block for variable reduction. Then nonlinear regression is used to predict a particular quality characteristic as a function of score vectors. The input variables reduction enables to choose an optimal binder formulation that meets the predefined quality requirements. The prediction has been confirmed by the verification experiments. (C) 2008 Elsevier B.V. All rights reserved.
nonlinear pcr water glass polyisocyanate pca composite material