SMA Pavement Anti-Slip Performance Prediction Model Based on Genetic Algorithm

Genetic algorithm (GA) is an optimization algorithm based on the theory of biological evolution, which can be used to solve complex optimization problems. For SMA pavement, genetic algorithm can improve its daily skid resistance by optimizing material ratio and other parameters. At the same time, in the aspect of risk prediction, genetic algorithm can also be used to analyze the wear status of SMA pavement and predict potential risks. Effect and influence of genetic algorithm on daily skid resistance of SMA pavement. SMA pavement is a kind of pavement with high strength and durability, but its skid resistance is one of the key factors. In order to improve the daily skid resistance of SMA pavement, it is necessary to choose appropriate materials and proportions. However, because there are many kinds of materials and distributions of SMA pavement, a large number of tests and tests are needed to get the best scheme.