Internet of Things (IoT) and Remote Sensing (RS) Based on Geospatial Information System (GIS) Against Fatigue of Asphalt Bitumen

Abstract

This work investigated the Geospatial Information System (GIS) as a low-cost, high-precision, and rapid method for identifying the (RAP). This work also showed that (GIS) can be linked to new techniques including Remote Sensing (RS) and the Internet of Things (IoT) which can be serious subjects for research in the field of pavement engineering. The results of the present work showed that Remote Sensing (RS) has reduced fatigue and thermal cracks. Moreover, for modified asphalt samples, tests of Marshall stability, flow, resilience modulus, repeated load axial, uniaxial creep and indirect tensile fatigue were carried out. against fatigue of asphalt mixtures. However, all samples showed longer fatigue life than the base mixture. Fatigue performance improvement for all samples was between 5 and 38%. Organic oil-modified bitumens have the best performance compared to other modified bitumens. Containing 4% rhamnolipid biosurfactant increased by 213%. This indicates the excellent performance of bitumen modified with rhamnolipid biosurfactant against fatigue of asphalt mixtures. Comparing the results of this study with the results of previous studies, it can be concluded that samples containing rhamnolipid biosurfactant had a better behavior against fatigue compared to samples made with bitumen modified with other oils.