Major high speed railway structures are always facing the risk of damages, such as concrete cracks, reinforcement corrosion, structural aging and others in long-term operation.High efficiency, high precision, and integrated equipment are required in high speed railway detection.In this work, a grid scanning detection method based on pattern matching was proposed for detecting typical defects: CA mortar layer segregation of high speed railway under structure.A typical defect finite element model was established.The elastic wave response received by grid scanning under different defects was simulated to complete feature matching database through sensitivity analysis.The model matching algorithm was designed through multi wheel matching, weight value matrix, and threshold function.Through accurate design of mesh size, accurate evaluation of defect plane distribution within 20 cm was achieved.The grid detector array was designed and successfully applied to Hongqiao Hangzhou high-speed railway station under structure detection.A rapid, real-time, and quantitative damaged detection of the structure under the line was completed.
Key words
Pattern matching /
grid scanning /
high-speed railway structure /
disease characteristics /
defect matching database
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