Faulting Model Sample Clauses

Faulting Model. The major factors considered in the faulting model are ESALs, slab thickness, joint spacing, base type, freezing index, annual average precipitation, and number of hot days (greater than 90oF) per year. For doweled pavements, additional factors are included, such as slab age, load transfer between joints, dowel support modulus, dowel diameter, dowel modulus of elasticity, and monthly temperature range. Most WSDOT PCC sections exhibit less than 0.05 inches of faulting, but the HDM faulting models tended to predict more faulting than the actual WSDOT data.
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Faulting Model. All PCC slabs that have experienced significant faulting have been dowel bar retrofitted. These sections were originally built without dowels, thus, the condition data just before DBR were included in the undoweled group. This study assumed that the sections had 0.25 inches of faulting and 3.5 m/km IRI just before DBR (Xxxxxx, 1999). Other undoweled WSDOT PCC slabs had substantially less faulting. Figure 21 shows undoweled WSDOT PCC pavement faulting data and the NCHRP 1-37A faulting estimation. WSDOT faulting data were averaged in each 10-year period, and the resulting trend was plotted. The trend is different from the default NCHRP 1-37A estimation both in trend shape and values. By inputting typical WSDOT design parameters, it was found that the most critical factors of the model were base type, traffic load, and climate. Figures 22 to 24 indicate that slabs with asphalt treated base had better performance than those with a granular base; slabs with light traffic loads had better performance than those with heavy traffic; and the slabs in Western Washington had better performance than those in Eastern Washington. (All of these trends were as expected).
Faulting Model m Faultm = ∑ΔFaulti i=1 m = ∑C34 *(FAULTMAX

Related to Faulting Model

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