Optimization of 4-element Generalized Maxwell Model forBinary and ternary composites of polystyrene, styrene–butadiene rubber and boehmite

In the present work stress relaxation data of binary nanocomposites of polystyrene/bohemite alumina (PS/BA) and polystyrene/styrene–butadiene rubber (PS/SBR) as well as ternary nanocomposites of PS/SBR/BA was correlated by using the generalized Maxwell model. The parameters of 4-element Generalized Maxwell model acquired by genetic algorithm to predict the correlation accurately.Comparison between calculated modulus with the modulus from experimental outcomes show the conformity of the model with experimental outcomes of binary and ternary composites of polystyrene, styrene–butadiene rubber and boehmite, so the generalized Maxwell is almost an appropriate model for modeling quasi static tests.

کلیدواژه ها:

Stress Relaxation ، Generalized Maxwell ، Genetic Algorithm ، Polystyrene