Global Sensitivity Analysis of Jointed Plain Concrete Pavement Mechanistic–Empirical Performance Predictions

Abstract

The new AASHTO Mechanistic-Empirical Pavement Design Guide (MEPDG) provides pavement analysis and performance predictions for various what-if scenarios. MEPDG performance predictions for anticipated climatic and traffic conditions will depend on the values of the input parameters that characterize pavement materials, layers, design features, and condition. A comprehensive global sensitivity analysis methodology is proposed for evaluating performance predictions for jointed plain concrete pavement to MEPDG inputs for five climatic conditions and three traffic levels. MEPDG inputs evaluated in the analysis include traffic volume, layer thicknesses, material properties, groundwater depth, and geometric parameters. Correlations between MEPDG inputs were considered as appropriate. The global sensitivity analysis varied all inputs simultaneously across the problem domain for each of the 15 base cases (five climates x three traffic levels). Two response surface modeling approaches, multivariate linear regressions and artificial neural networks, were developed for evaluation of MEPDG input sensitivities across the problem domain. The response surface modeling approaches based on artificial neural networks not only provided robust and accurate representations of the complex relationships between MEPDG inputs and distress outputs but also captured the variation in sensitivity across the problem domain. The normalized sensitivity index for the design limit proposed in the study provides practical interpretation of sensitivity by relating a given percentage change in an MEPDG design input to the corresponding percentage change in predicted distress relative to its design limit value.

Development of a flexible pavement condition index for urban road network

“…Stands out still, which these indexes were developed in other regions, whose materials, construction and maintenance processes, traf?ic and environmental conditions are different from Brazil. In addition, the climate conditions directly in?luence an appearance on pavement distresses (Kim et al, 2011;Schwartz et al, 2013;Ceylan et al, 2013). So, it becomes essential that municipalities secretariats for infrastructure develop their own pavement condition indexes and distress manuals, or adjust existing distress index according to local conditions (Loprencipe and Pantuso, 2017).…”

“…However, those condition pavement indexes need to be adjusted for local condition as an index for urban pavements. Furthermore, the climate is a fundamental parameter that should be considered on pavement designs, because it in?luences the appearance of type, severity and density of distress (Kim et al, 2011;Schwartz et al, 2013;Ceylan et al, 2013). Thus, it is essential that those indexes must be calibrated and validated themselves according to climate, construction process, materials, types of maintenance and rehabilitation.…”