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Full waveform inversion applied in defect investigation for ballastless undertrack structure of high-speed railway

机译:全波形反演在高速铁路无ball轨道结构缺陷检测中的应用

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摘要

Until the end of 2015, China will build a national high-speed railway network with total mileage of exceed 20,000 km. The Ballastless undertrack structure is wildly used in this network. Filed investigation shows that the damage and defects in ballastless undertrack structure will grow by long-term dynamic loading during the operation and bring potential risk to the operation safety. For better characterization of these internal problems, a time-domain full waveform inversion (FWI) method based on quasi-linear method and random search algorithm is developed as nondestructive testing (NDT) method. Tikhonov regularization is adopted to alleviate the ill conditioned matrix. Also, cross convolutions between observed data and forward response waveforms are employed to allow this FWI method to get rid of the influence of the source. According to filed investigation, two numerical case studies considered with horizontal discontinuity of material are carried out. It is verified that the presented technical is capable for characterizing anomalies of various zones in buried low-velocity layers. Meanwhile the FWI method is applied to experimental data in a real full scale model of ballastless high-speed railway undertrack structure. The inversion work successfully reveals the preset defects and damages inside the CA mortar layer and embankment. The results are generally consistent with the preset model. (C) 2015 Elsevier Ltd. All rights reserved.
机译:到2015年底,中国将建设总里程超过20,000公里的国家高速铁路网。该网络广泛使用无ast轨道结构。现场调查表明,在运行过程中长期的动态载荷会增加无under轨道结构的破坏和缺陷,并给运行安全带来潜在的风险。为了更好地表征这些内部问题,开发了一种基于准线性方法和随机搜索算法的时域全波形反演(FWI)方法作为无损检测(NDT)方法。采用Tikhonov正则化来减轻病态矩阵。同样,采用观测数据和前向响应波形之间的交叉卷积来允许这种FWI方法摆脱源的影响。根据提起的调查,进行了两个考虑材料水平不连续性的数值案例研究。验证了所提出的技术能够表征地下低速层中各个区域的异常。同时,将FWI方法应用于真实数据的无full高速铁路地下轨道结构全尺寸模型中。反演工作成功地揭示了CA砂浆层和路堤内部的预设缺陷和损坏。结果通常与预设模型一致。 (C)2015 Elsevier Ltd.保留所有权利。

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