when thinking about deformation of rubber i guess its natural to assume that the eigenfrequency of it will be well below a 100 Hz, and also that the frequency response of it will be reasonably close to 0 above a 100 Hz (at least that what gut feeling tells me)
therefore a model that runs at about 200 Hz should be able to yield accurate results
however there are two problems with using a sampling frequency that low
1) the difference equation that you use for iteration
most iterations are simply described by a function that only uses the results of the previous step (ie u(n) = f(u(n-1)) ) in contrast to one which uses all previous results or a large but finite set of previous results (u(n) = f(u(-/inf),...,u(n-1)) or u(n) = f(u(n-N),...,u(n-1)) )
in essence this describes filtering (interpolating) with a 2 tap impulse response which itself has a very large spectrum so youll need a high oversampling factor to get accurate results
(frankly ive never seen this approach of describing the effects of iterative models in literature before but im rather confident that at least the basic idea behind my explaination is correct)
2) excitation of the model
obviously if you ever want accurate results your update frequency will have to be large enough to capture the highest frequency in the process that excites your model (mainly the bumps in the road for tyres)
with regard to this id predict that your fractal model will need a significantly higher frequency to either a) produce accurate results at all or b) be beneficial