Abstract:

The rapid development of subway construction in recent years has greatly eased the increasing traffic pressure in cities. The large-scale subway construction has also brought a series of engineering problems. Among them, the subway ballast void is one of the typical tunnel bed diseases, which poses a safety hazard to the tunnel during the operation period. At present, the detection methods for the subway ballast voids are not perfect enough. Therefore, it is urgent to detect and treat the ballast void. Based on GprMax software, this paper establishes a subway ballast voids model and carries out the forward simulation, and proposes a method of radar image feature and recognition of subway ballast void. At the same time, the feasibility of GPR in subway ballast voids detection is verified by engineering examples.