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.
范岩旻，车爱兰，冯少孔. 基于模式匹配的网格扫描法在高铁线下结构检测中的应用[J]. 振动与冲击, 2019, 38(16): 159-165.
FAN Yanmin,CHE Ailan,FENG Shaokong . A gridded scaning detection method based on pattern matching for detection of high speed railway structures. JOURNAL OF VIBRATION AND SHOCK, 2019, 38(16): 159-165.
[1] Li Y, Conte J P. Effects of seismic isolation on the seismic response of a California high‐speed rail prototype bridge with soil‐structure and track‐structure interactions[J]. Earthquake Engineering & Structural Dynamics, 2016, 45(15):2415-2434.
[2]. Kang X, Jiang L, Bai Y, et al. Seismic damage evaluation of high-speed railway bridge components under different intensities of earthquake excitations[J]. Engineering Structures, 2017, 152:116-128.
[3]. Bao Y, Chen G. Strain distribution and crack detection in thin unbonded concrete pavement overlays with fully distributed fiber optic sensors[J]. Optical Engineering, 2016, 55(1):011008.
[4]. Kociumaka T, Radoszewski J, Rytter W. Efficient Indexes for Jumbled Pattern Matching with Constant-Sized Alphabet[J]. Algorithmica, 2016, 8125:1-22.
[5]. Wyner A D, Ziv J, Wyner A J. On the role of pattern matching in information theory[J]. IEEE Transactions on Information Theory, 1998, 44(6):2045-2056.
[6] Fernau H, Schmid M L. Pattern matching with variables: A multivariate complexity analysis [J]. Information and Computation, 2015, 242:287-305.
[7]. Du-Ming Tsai, Cheng-Hsiang Yang. A quantile–quantile plot based pattern matching for defect detection[J]. Pattern Recognition Letters, 2005, 26(13):1948-1962.
[8]. 单德山, 周筱航, 杨景超,等. 结合地震易损性分析的桥梁地震损伤识别[J]. 振动与冲击, 2017, 36(16):195-201.
SHAN De-shan, ZHOU Xiao-hang, YANG Jing-chao, LI Qiao, Bridge seismic damage identification based on seismic fragility analysis[J]. Journal of Vibration and Shock, 2017, 36(16):195-201.
[9]. 汤政, 车爱兰, 冯少孔,等. 高铁多层线下结构病害全波场无损检测方法与技术[J]. 上海交通大学学报, 2015, 49(7):1017-1022.
TANG zheng, CHE Ai-lan, FENG Shao-kong,, Detection methods and research about full-wavefield imaging detection method on high-speed railway under-track structure[J]. Journal of Shanghai Jiaotong unviersity 2015, 49(7):1017-1022.
[10]. 钟鹏飞, 车爱兰, 冯少孔. 全波场映像技术以及其在高速公路路基缺陷检测中的应用[J]. 地震工程学报, 2016, 38(6):942-947.
ZHONG Peng-fei, CHE Ailan, FENG Shao-kong, Full-wave field imaging method and its application in highway subgrade defect detection[J]. China Earthquake Engineering Journal, 2016, 38(6):942-947.
