Dimensionamento de uma estrada municipal caso de estudo: rua 04 de Outubro do Município de Marrupa- Niassa

Abstract

This study undertakes a meticulous analysis of the road infrastructure on Rua 04 de Outubro, Marrupa, Mozambique, aiming not only to provide concrete solutions but also to integrate technical and academic aspects to inform decisions in pavement development. Traffic investigation on Rua 04 de Outubro indicates its nature as a collector road for light traffic, predominantly featuring light automobiles and motorized bicycles. Evaluating the traffic class and considering the low presence of heavy vehicles, there arises the need to adjust the classification, utilizing the UTG approach, as per specific tables. Laboratory test results provide valuable suggestions for material classification, referencing AASHTO and TRH14 standards. The subgrade, qualified as SG1, reflects the regional characteristics identified in TRH14, guiding the choice of the pavement structural design method. When addressing pavement layer thicknesses, three distinct methods (Australian, South African mechanistic, and UTG2 South African) are explored. The preference for the UTG2 method stands out, highlighting an optimized structure that takes into account climatic variables, subgrade characteristics, materials, and local traffic. The structural analysis, conducted through the DesignPave and Ken Pave programs, adopts the elastic linear model in scenarios C1 and C2. Delving into the analysis of vertical displacements, damages, and stresses, the superiority of pavement C2 is revealed, indicating a more efficient structural response. Projecting the pavement's lifespan, using a simplified approach based on traffic class, clearly favors C2, offering 27 years of durability compared to C1's 13 years, considering an annual traffic of 200,000 vehicles. This study, in addition to its role in local pavement understanding, significantly contributes to academic literature by presenting a technical approach, grounded in normative methods and structural analyses, to inform future decisions in road infrastructure in Mozambique.