Pavement surface texture significantly contributes to tire wear and tire-pa
vement friction. Currently available relationships quantify tire wear and t
ire-pavement friction simply in terms of empirical pavement texture paramet
ers. The objective of this paper is to present correlations with which the
tire wear rate and tire-pavement friction on smooth concrete pavements can
be predicted using actual texture properties. Using a laboratory tire wear
simulator and an aircraft tread-rubber block, a number of wear and friction
tests are performed on pavement samples having different fine aggregate si
zes. Frequency characteristics of the texture of the pavements are achieved
by decomposing the profilometer measurements using the fast Fourier transf
orm technique and constructing power spectral density plots of texture over
surface spatial frequency. Then the tire wear rates as well as dry frictio
n and wet friction of the tire-pavement interface are correlated to microte
xture and macrotexture components of the texture power spectral density. Th
e developed correlations indicate that both tire wear and dry friction are
significantly affected by pavement microtexture. The developed wear correla
tions can be also useful for predicting the wear index of a pavement based
on conventional Mu-meter and grease patch test results. This is illustrated
by an example in which the wear index for a concrete runway pavement at Lu
ke Air Force Base, Ariz., is computed using the new relations.