Empirical Models for the Viscoelastic Complex Modulus with an Application to Rubber Friction

Up-to-date predictive rubber friction models require viscoelastic modulus information; thus, the accurate representation of storage and loss components is fundamental. This study presents two separate empirical formulations for complex moduli materials such as rubber. The majority found in literature are based on tabulated dynamic testing data. A wide range experimentally obtained used this study, SBR (styrene-butadiene rubber), reinforced with filler particles typical passenger car tyre proposed offer significantly faster computation times compared to tabulated/interpolated data an reconstruction frequency response. They also link model coefficients critical sections data, gradient slope modulus, or peak values tangent modulus. One piecewise polynomial fitting offers versatility by increasing number functions achieve better fitting, but additional pre-processing time. other uses a pair logistic-bell provides robust capability fastest identification, it requires reduced parameters. Both good correlations measured their computational efficiency was demonstrated via implementation Persson’s model.