Abstract
The decreasing supply of soils with geotechnical parameters suitable for pavement designs is a visible problem in our environment. In order to establish more efficient designs and adequate construction criteria, it is essential to understand the performance of materials. This is a study of the permanent deformation (PD) of soil used in pavement layers, obtaining prediction models through the technique of artificial neural networks, in addition to the design of pavement structures using mechanistic‐empirical and empirical methods. The multistage repeated load triaxial (RLT) test, as well as numerical analyses of stresses and displacements using the CAP3D program, was used. The results showed that both the test procedure and the prediction models performed satisfactorily in obtaining PD behavior. Moreover, designs using the methods adopted resulted in distinct structures, that is, thickness different from the granular pavement layers. It was concluded that the model and test procedure exhibit significant potential for characterizing and modeling the PD of granular materials.
Highlights
Increased socioeconomic development, the need for investments in highway infrastructure, and declining supply of appropriate raw materials are visible problems in our environment
Recoverable deformation is used in some mechanistic-empirical design models, where the modulus of resilience (MR) is obtained using the test specified by the National Department of Transport Infrastructure [1]
E main mathematical models that express the MR as a function of the stresses applied to the materials, especially deviator and confining stress (σ3), are those developed by Macedo [2], known as the compound model, the combined or mixed model, proposed by Aranovich [3], and the Witczak and Uzan [4] model, which is recommended for calculating the MR in the guide for the design of pavement structures [5], in addition to the Guimarães [6] model
Summary
The need for investments in highway infrastructure, and declining supply of appropriate raw materials are visible problems in our environment. There is a need for careful mechanical assessment of the subgrade of highways, in addition to granular layers that may exhibit nonlinear behavior that is often simplified in linear analyses of design processes, causing changes that compromise their performance. In this regard, the structural assessment of pavements is a complex problem, requiring more careful analyses of how different parameters perform, such as stress-deformation relationships that occur in the pavement. According to Salour et al [7], subgrade soil in low-volume roads may contribute with more than 40% of total WTR on the pavement surface
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