Quantifying the Effects of Preservation Treatments on Pavement Performance (2018) / Chapter Skim
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18 This chapter describes the framework used to evaluate and test the recommended measures and presents examples of testing and validating these measures using agency data. In the context of this research, testing describes the process of assessing the sensitivity of the measure to changes in performance resulting from the application of preservation as compared to changes in the performance measure when no preservation is applied.
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Testing and Validation of Recommended Measures 19 treatment options to a control site (i.e., non-treatment deterioration)
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20 Quantifying the Effects of Preservation Treatments on Pavement Performance Framework Evaluation The proposed framework was evaluated using information from the literature review (much of which used LTPP data) and data from the LTPP program.
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Testing and Validation of Recommended Measures 21 required by the framework could be calculated. Analyses were performed for asphalt pavements using roughness, rutting, fatigue cracking, longitudinal cracking, and transverse cracking data from the LTPP SPS-3 experiments to evaluate thin overlay, chip seal, and slurry seal treatments.
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22 Quantifying the Effects of Preservation Treatments on Pavement Performance later in this chapter. More importantly, the findings from the literature and the analysis of LTPP data validated the approach to assessing the performance measures using the recommended evaluation framework.
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Testing and Validation of Recommended Measures 23 • Performance models ability to predict future values for individual distresses or for composite measures. • Likely availability of data to allow identifying initial condition jump and long-term performance history information.
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24 Quantifying the Effects of Preservation Treatments on Pavement Performance reliability, measurement errors and biases, and completeness of the data (e.g., missing measurements and data elements)
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Testing and Validation of Recommended Measures 25 overlay using data from Virginia DOT (VDOT)
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26 Quantifying the Effects of Preservation Treatments on Pavement Performance 5 years following the treatment for the different sites as a function of the initial roughness. The figure indicates that the average roughness growth over 5 years following the treatment is effectively zero, regardless of the initial roughness.
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Testing and Validation of Recommended Measures 27 was calculated for 3 to 9 years following the treatment, to assess whether the rate of crack growth is a function of the measured pretreatment cracking. Figure 15 shows the average rate of growth of fatigue cracking versus the pretreatment fatigue cracking for chip seals in Texas.
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28 Quantifying the Effects of Preservation Treatments on Pavement Performance Rutting Rutting data for asphalt surfaced pavements was obtained from five highway agencies, and the trend of rutting following the treatments was evaluated. Only thin asphalt overlays data showed reduced rutting overall.
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Testing and Validation of Recommended Measures 29 The CCI is presented on a 100 point scale with 100 being the best possible score and 0 being the worst possible score. To calculate the CCI, two different indexes are calculated from the data collected during the distress survey, the load-related distress rating (LDR)
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30 Quantifying the Effects of Preservation Treatments on Pavement Performance distress is much larger than the difference between 10 and 20 percent distress when reflected in the composite index. Thus, if the errors in individual distresses are randomly distributed, errors in the distresses that result in a perceived improvement in the distresses will affect the LDR and NDR calculations differently than errors that result in a perceived degradation in the distresses.
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Testing and Validation of Recommended Measures 31 Cracking It was found that diamond grinding with and without DBR had no immediate effect on the measured cracking, and the rate of growth of cracking following the treatment was not related to the initial cracking values. Many of the cracking measurements indicated a negative rate of crack growth following the diamond grind which may be due to variance in the measurements or unrecorded maintenance (e.g., crack sealing)
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32 Quantifying the Effects of Preservation Treatments on Pavement Performance Life Cycle Costs LCC are a critical part of the framework for selecting the most appropriate preservation treatment. Once the effects of preservation treatments on the condition and performance of a pavement are known, these effects are combined with direct costs in order to estimate LCC for two scenarios: (1)
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Testing and Validation of Recommended Measures 33 In some cases the results summarized in Table 2 contradict what was found in the literature. For example, Labi et al.
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