Use artificial intelligence to identify the best materials to create a recycled asphalt, resistant and eco -sustainable: This is what a team of researchers guided by the University of Mississippi did, which published its results on the International Journal of Pavement Engineering.
The authors tested the ability of different artificial intelligence algorithms to predict how well the asphalt floors made with recycled materials can resist humidity. When the water does Infiltra in the asphalt can break the bonds that keep the materials together. In its weakened state, the asphalt is more likely to crack or give in any case.
“We focused – explained the authors – on the damage from humidity, which are one of the most critical problems in asphalt floors, in particular in the wet and cold regions, because they cause a series of problems such as holes and cracks. We evaluated the effectiveness of Four different artificial intelligence algorithms in predicting the damage from humidity in asphalt mixtures containing recycled materials. What we have discovered is that these algorithms are able to effectively predict humidity damage in asphalt mixtures with high accuracy. Based on these results, we can optimize the selection of materials and predict the probability of damage in the life cycle of the flooring “.
According to the researchers, determine the Best combination of Riciclat asphaltOE other materials capable of resisting cold and humid climatic conditions without artificial intelligence would be an extremely expensive process in terms of time and money.
“Algorithms based on artificial intelligence offer an efficient and convenient alternative to traditional laboratory approaches, which require a lot of time and a lot of energy,” they said: “The results of all these studies can be used by practicing engineers, from the transport departmentfrom federal agencies, from the private sector, by anyone who works in this area, to move towards sustainable and convenient approaches in design “.