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determine climatic factor effects on performance of pavement systems. These data
bases can consist of weather stations data, pavement moisture content and temperature
profile monitoring as well as frost penetration and frost-heave measurements (Jong et
al., 1998; Janoo and Shepherd, 2000; Erlingsson et al., 2002; Savard et al., 2005; Zapata
et al., 2009).
In an 18-month field survey on three instrumented highways in the state of Wisconsin,
Jong et al. (1998) monitored the pavement moduli changes caused by seasonal climatic
variations. They reported up to 4 and 12 times increase in the subgrade and base layer
moduli, respectively, as frost penetrated into the pavement structure. They observed a
clear correlation between the in situ moisture content and
the stiffness of unbound
layers. The base and subgrade layer moduli were decreased by 35 and 65 percent,
respectively, due to an increase in the moisture content at the end of the thawing period
compared to the pre-freezing measurements.
Janoo and Shepherd (2000) analysed the subsurface moisture and temperature data as
well as the surface deflection measurements collected from ten sites across the state of
Montana to measure in situ subgrade moduli and their seasonal variation. Significant
variation in unbound layer moisture content and layer moduli was observed from the
field measurements. Using the deflection data, they recommended a model that could
predict the subgrade stiffness as a function of temperature
and volumetric moisture
content to be used in future mechanistic design practices. They also suggested critical
load-restriction time periods during spring-thaw weakening based on the temperature
and moisture measurements.
In a field study conducted by Erlingsson et al. (2002),
temperature and moisture
variability of three road sections in south-west Iceland were monitored during a three
year period. A significant long and short term volumetric moisture content variation
was observed due to the freeze-thaw conditions and the precipitation. The layer moduli
backcalculation from the FWD showed a strong correlation with the
measured moisture
content.