Yasaman Alsadat Enjavi Arsenjan - Alsadat Enjavi Arsenjan
Shadi Hassan Ajili - Assistant professor of Chemical Engineering, School of Chemical and Petroleum Engineering, Shiraz University, Shiraz,Iran

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.

Stress Relaxation, Generalized Maxwell, Genetic Algorithm, Polystyrene