Research And Application Of Urban Road Internal Disease Detection Based On Ground Penetrating Radar

In recent years,the mileage of urban roads in China is increasing constantly.Due to the relationship between the construction quality and the use time of roads,the maintenance and management of roads has become a new problem in China.In recent years,the rapid development of geological radar due to the late development of radar image recognition and interpretation lack of a large number of examples to support,resulting in its recognition accuracy is poor,and prone to subjective influence of staff.Based on the above problems,numerical simulation technology and physical model are used to study common road diseases.The main research contents of this paper are as follows:(1)The types and causes of common diseases in the underground space of urban roads are analyzed to provide a basis for simulation tests and field tests.(2)Use Gpr Max geological radar simulation software to establish common disease models in urban road underground space,such as:voids,voids,inconsistencies,cracks,etc.,and perform forward simulation,and study the propagation of electromagnetic waves in different diseases by changing numerical parameters Features and imaging conditions.(3)Establish a physical model to verify the disease of the numerical simulation,collect the radar image of the test model,study the difference between the physical model and the numerical model,verify the feasibility of the ground penetrating radar for the numerical simulation,and perform more complex and comprehensive simulation the geological radar detection analysis under more extreme conditions provides the basis.(4)Use geological radar technology to detect a certain road section,analyze the road disease in the collected data according to the radar image of the road disease in the simulation test,and verify the excavation of the abnormal area.(5)Due to the limitation of the function of simulation software and test conditions,the research of GPR in road interior disease detection is not enough in this paper,and there are many problems to be further discussed and studied.Figure 37 table 8 reference 77...