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| A gridded scaning detection method based on pattern matching for detection of high speed railway structures |
| FAN Yanmin,CHE Ailan,FENG Shaokong |
| School of Naval Architecture，Ocean and Civil Engineering，Shanghai Jiao Tong University, Shanghai 200240, China |
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Abstract 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.
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Received: 06 February 2018
Published: 15 August 2019
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