Compromise optimization of slag alkaline binders with computational materials science methods

Abstract

The influence of eight composition and thermal treatment factors on strength, frost resistance. and chemical resistance of slag alkaline binders is evaluated by non-linear experimental - statistical models. The models are used to solve two optimisation problems. With the help of iterative random scanning og the fields pf material properties in eight composition and process coordinates found have been the compromise solutions when maximising quality criteria and the conditions for saving resources.