Synthesis of design and construction practices



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Reflective Cracking.

  The reflective cracking modeling was based on a mechanistic-

empirical overlay design method for reflective cracking proposed by Sousa et al. (2002).  The 

study focused on the modeling of reflective cracking above cracks in the underlying pavement 

surface.  Both dense-graded HMA and gap-graded asphalt rubber (wet process) mixes were 

studied in the laboratory and field to derive mechanistic relationships and statistically based 

equations.  The measured versus predicted crack activity, both before and after the overlay was 

placed, was investigated.  The Von Mises strain, necessary for the modeling, was developed as 

the following: 

 

 

(



)

(

)



b

6

VM



1 10

a

Overlay Thickness (m)



ε

×



= ×

(24)


 

 

 




 20

where 


 

VM

ε  = Von Mises strain 



 

a, b = coefficients obtained experimentally. 

 

The model was calibrated using iterative processes.  Three adjustment factors were 



developed: aging adjustment factor (AAF), temperature adjustment factor (TAF), and a field 

adjustment factor (FAF).  All of these factors affected the value of 

VM

ε , which was used to 



determine the number of ESALs that can be sustained by the HMA overlay before the onset of 

reflective cracking.  The final model was the following: 

 

Asphalt rubber mix: 



(

)

4.9761



19

6

VM



ESALs 4.1245 10

1 10




=

×



× ε

×



(25)


Dense-graded mix: 

(

)



5.93

20

6



VM

ESALs 4.1245 10

1 10





=



×

× ε


×



 

(26)


 

The number of ESALs obtained from Equations (25) and (26), need to be multiplied by 

the FAF to obtain the final design ESALs required for the overlay to reach a specific percentage 

of reflective cracking. 



 

Deflections 

 

Composite pavements have been known to provide greater structural support than 



traditional flexible pavements, while sharing similar noise, friction, and smoothness properties.  

High structural support of a pavement structure has been traditionally associated with low 

deflections at the surface (i.e., deflection measurements are known to be reduced when the 

bearing capacity of the road is high).  In addition, a reduction of deflection under an applied load 

reduces the traffic-induced stresses and strains within the layers of the structure (Nunn et al., 

1997).  Therefore, a structure that provides lower deflection measurements would tend to reduce 

the layers’ state of stress and strain, causing the pavement structure to be less affected (damaged) 

by the loading conditions.  The deflection analysis performed is shown in Figure 4. 

 

The figure shows that the modeled deflections at the pavement surface are greatly 



reduced as the stiffness of the base increases.  In this case, the stiffness or elastic modulus (E) of 

the base increased from soil cement (E = 3,448 MPa [500,000 psi]) to PCC (E = 27,586 MPa 

[4,000,000 psi]).  The maximum deflection predicted when the granular base was used was 0.49 

mm (19.2 mils).   

 

Table 8 shows the percent reduction of deflections, when comparing rigid bases to the 



granular one.  As the rigidity of the base increases, the deflections of the pavement structure 

decrease.  This reduction in deflection suggests a reduction of stresses and strains in the various 

pavement layers, especially in the HMA. 

 



 21

 

 




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