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Guideline for the Design and Use of Asphalt Pavements for ...

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Using <strong>the</strong>oretical analyses <strong>of</strong> actual conditions per<strong>for</strong>med with models <strong>for</strong> net heat flow <strong>and</strong> energy balance, <strong>and</strong><br />

assuming typical values <strong>for</strong> solar absorption (0.90), radiation transmission through air (0.81), atmospheric radiation<br />

(0.70), <strong>and</strong> wind speed (4.5 m/sec), this equation was developed <strong>for</strong> <strong>the</strong> high pavement design temperature:<br />

T20mm = (Tair - 0.00618 Lat 2 + 0.2289 Lat + 42.2)(0.9545) - 17.78<br />

Where T20mm = high pavement design temperature at a depth <strong>of</strong> 20 mm<br />

Tair = seven-day average high air temperature<br />

Lat = <strong>the</strong> geographical latitude <strong>of</strong> <strong>the</strong> project in degrees.<br />

The low pavement design temperature at <strong>the</strong> pavement surface is calculated as a function <strong>of</strong> <strong>the</strong> low air<br />

temperature using <strong>the</strong> equation:<br />

Tsurf = 0.859 Tair + 1.7<br />

Where Tair<br />

= 1-day minimum air temperature<br />

The Superpave system allows <strong>the</strong> designers to use reliability measurements to assign a degree <strong>of</strong> design risk to <strong>the</strong><br />

high <strong>and</strong> low pavement temperatures used in selecting <strong>the</strong> binder grade. As defined in Superpave, reliability is <strong>the</strong><br />

percent probability in a single year that <strong>the</strong> actual temperature (one-day low or seven-day average high) will not<br />

exceed <strong>the</strong> design temperatures. A higher reliability means lower risk. For example, consider summer air<br />

Air Temperature Selection<br />

temperatures in Clevel<strong>and</strong>, Ohio, which has a mean seven-day<br />

maximum <strong>of</strong> 32EC <strong>and</strong> a st<strong>and</strong>ard deviation <strong>of</strong> 2EC. In an average<br />

year, <strong>the</strong>re is a 50 percent chance that <strong>the</strong> seven-day maximum air<br />

temperature will exceed<br />

32EC. However, assuming a normal statistical frequency distribution, <strong>the</strong>re is only a two percent chance that <strong>the</strong><br />

seven-day maximum will exceed 36EC (mean plus two st<strong>and</strong>ard deviations); <strong>the</strong>re<strong>for</strong>e, as shown in Figure 5.1; a<br />

design air temperature <strong>of</strong> 36EC will provide 98 percent reliability.<br />

Continuing <strong>the</strong> example, assume that an asphalt mixture is to be designed <strong>for</strong> Clevel<strong>and</strong>. Figure 5.2 graphically<br />

represents <strong>the</strong> statistical variation <strong>of</strong> <strong>the</strong> two design air temperatures. In a normal summer, <strong>the</strong> average seven-day<br />

maximum air temperature is 32EC <strong>and</strong> in a "very hot" summer, this average may reach 36EC. Using a similar<br />

approach <strong>for</strong> winter conditions, Clevel<strong>and</strong> has an average minimum air temperature <strong>of</strong> -21EC with a st<strong>and</strong>ard<br />

deviation <strong>of</strong> 4EC. Consequently, in an average winter, <strong>the</strong> coldest temperature is -21EC. For a "very cold" winter,<br />

<strong>the</strong> air temperature may reach -29EC. The st<strong>and</strong>ard deviations show <strong>the</strong>re is more variation in <strong>the</strong> one- day low<br />

temperatures than <strong>the</strong> seven-day average high temperatures.

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