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From page 31...
... 31 Introduction This chapter focuses on wheel-path longitudinal cracking that is fatigue-related. Figures 4.1 (a)
From page 32...
... 32 Figure 4.7 plots the wheel-path longitudinal crack length versus pavement age for the second-round distress survey. As shown, although some longitudinal cracks start to develop when the pavements are 3 years old, more longitudinal cracking is seen in pavements that are 6 years old or older.
From page 33...
... 33 0 50 100 150 200 250 300 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 W he el -p at h Lo ng itu di na l C ra ck L en gt h, ft /2 00 ft Pavement Age, years HMA WMA Figure 4.3. Wheel-path longitudinal crack length versus pavement age for the first-round distress survey.
From page 34...
... 34 (a) Comparison Between Chemical and Organic 1 6 0 0 2 4 6 8 10 N o.
From page 35...
... 35 0 50 100 150 200 250 300 0.0 1.0 2.0 3.0 4.0 5.0 6.0 7.0 8.0 9.0 10.0 Se co nd -R ou nd W he el -P at h Lo ng it ud in al C ra ck L en gt h, ft /2 00 ft Pavement Age, years HMA WMA Figure 4.7. Wheel-path longitudinal crack length versus pavement age for the second-round distress survey.
From page 36...
... 36 Paired Ranking Analysis for Wheel-Path Longitudinal Cracking The material properties obtained from the field cores and extracted binders were used to determine potential significant determinants for wheel-path longitudinal cracking using paired ranking analysis. These material properties include the following: 1.
From page 37...
... 37 Statistical Predictive Models for Wheel-Path Longitudinal Cracking The PLS method was applied to develop a predictive wheelpath longitudinal cracking model. The following factors were considered for the model based on literature findings: • Mixture properties: IDT strength at 68°F; fracture work density at 68°F; mixture fracture energy at 68°F; dynamic modulus at 70°F and 1 Hz; in-place air voids; aggregate passing #4, #8, #200 sieve; and NMAS.
From page 38...
... 38 development. Five parameters were selected: total pavement thickness (+)
From page 39...
... 39 This model gives a R2 of 0.85, a standard error of the estimate of 0.59, and Mallow's Cp of 6.0, indicating good prediction quality. Figure 4.12 (b)
From page 40...
... 40 than 50 percent probability for crack initiation, which is reasonable. To validate the model, the LOOCV method was used.

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