基于Burg功率谱的无砟轨道功能层缺陷边缘估计方法研究

杨勇1,芦俊伟1,李荣喆2,田秀淑3,赵维刚2

振动与冲击 ›› 2020, Vol. 39 ›› Issue (10) : 1-6.

PDF(1433 KB)
PDF(1433 KB)
振动与冲击 ›› 2020, Vol. 39 ›› Issue (10) : 1-6.
论文

基于Burg功率谱的无砟轨道功能层缺陷边缘估计方法研究

  • 杨勇1,芦俊伟1,李荣喆2,田秀淑3,赵维刚2
作者信息 +

Analysis on edge estimation of functional layer defect in ballastless track based on Burg power spectrum

  • YANG Yong1,LU Junwei1,LI Rongzhe2,TIAN Xiushu3,ZHAO Weigang2
Author information +
文章历史 +

摘要

高速铁路无砟轨道功能层缺陷直接影响高速铁路运营安全,而现有方法难以准确估计缺陷尺寸,造成无砟轨道状态评估困难。针对这一难题,该研究建立了带缺陷层状介质弹性波回波模型,分析了测点位置与功能层缺陷回波的关联关系,提出了弹性波缺陷边缘回波频率分布模式;研究了AR功率谱模型,分析了Burg功率谱的频率分辨率和相关参数获取方法,并在此基础上,提出了无砟轨道功能层缺陷边缘估计和缺陷成像方法;通过CRTSⅢ型无砟轨道现场试验对比分析,验证了该方法在无砟轨道缺陷检测中的适用性。研究结果表明:基于Burg功率谱方法能够较为准确地实现缺陷边缘估计和无砟轨道功能层缺陷成像。研究成果可用于高速铁路无砟轨道缺陷检测与状态分析,为高速铁路安全运营提供理论支撑。

Abstract

Defects in the functional layer of ballastless track directly affect the operation safety of high-speed railway (HSR), but the existing methods are hard to accurately estimate the defect size, resulting in difficulties in state evaluation of ballastless track.To solve this problem, firstly, layered medium echo model of ballastless track with defect was established, the relationship between the location of the detection point and the defect echo of the functional layer was analyzed, and the frequency distribution model of the edge wave echo was proposed.Secondly, an autoregressive (AR) power spectrum model was studied, the frequency resolution of Burg power spectrum and the acquisition method of related parameters were analyzed, and on this basis, the imaging method of ballastless track functional layer defects was presented.Finally, CRTSⅢ ballastless track field experiment was carried out to verify the applicability of this method in defect detection of ballastless track.The results show that the imaging method based on Burg power spectrum can accurately perform the edge estimation and defect imaging of functional layer.The research results can be used for defect detection and state evaluation of ballastless track, and provide theoretical support for the safe operation of HSR.

关键词

无砟轨道 / 功能层缺陷 / 边缘估计 / Burg功率谱

Key words

ballastless track / functional layer defect / edge estimation / Burg power spectrum

引用本文

导出引用
杨勇1,芦俊伟1,李荣喆2,田秀淑3,赵维刚2. 基于Burg功率谱的无砟轨道功能层缺陷边缘估计方法研究[J]. 振动与冲击, 2020, 39(10): 1-6
YANG Yong1,LU Junwei1,LI Rongzhe2,TIAN Xiushu3,ZHAO Weigang2. Analysis on edge estimation of functional layer defect in ballastless track based on Burg power spectrum[J]. Journal of Vibration and Shock, 2020, 39(10): 1-6

参考文献

[1] 何华武. 我国客运专线应大力发展无砟轨道[J]. 中国铁路, 2005, 43(1): 11-15.

HE Huawu. Ballastless Track Shall be Developed in Great Efforts on Chinese Passenger Dedicated Lines[J]. Chinese Railways, 2005, 43(1): 11-15.

[2] 魏祥龙, 张智慧. 高速铁路无砟轨道主要病害(缺陷)分析与无损检测[J]. 铁道标准设计, 2011, 54(3): 38-40.

WEI Xianglong, Zhang Zhihui. Analysis and nondestructive detection on disease(defect) of high-speed railway ballastless track[J]. Railway Standard Design, 2001, 54(3): 38-40.

[3] Q/CR596-2017. 高速铁路CRTSIII型板式无砟轨道自密实混凝土[S]. 北京: 中国铁路总公司, 2017.

Q/CR596-2017. Specification of self-compacting concrete for high-speed railway CRTSIII slab ballastless track[S]. Beijing: China Railway Corporation, 2017.

[4] YANG Yong, Zhao Weigang. Curvelet transform-based identification of void diseases in ballastless track by ground-penetrating radar[J]. Structural Control and Health Monitoring, 2019, 26(4): 1-18.

[5] Milanfar P. Results from a forward-looking GPR mine detection system[J]. Proceedings of SPIE - The International Society for Optical Engineering, 2008, 47(4): 700-711.

[6] Wu T., Fang J, Liu G, et al. Determination of elastic constants of a concrete specimen using transient elastic waves[J]. Journal of the Acoustical Society of America, 1997, 98(98): 2142-2148.

[7] Kim J H, Mander J B. Influence of transverse reinforcement on elastic shear stiffness of cracked concrete elements[J]. Engineering Structures, 2007, 29(8): 1798-1807.

[8] Wang H, Che A, Feng S, et al. Full waveform inversion applied in defect investigation for ballastless undertrack structure of high-speed railway[J]. Tunnelling & Underground Space Technology Incorporating Trenchless Technology Research, 2016, 51(1): 202-211.

[9] Che Ailan, Tang Zheng, Feng Shaokong. An elastic-wave-based full-wavefield imaging method for investigating defects in a high-speed railway under-track structure[J]. Soil Dynamics and Earthquake Engineering , 2015, 77(1): 299-308.

[10] 杨鸿凯, 车爱兰, 汤政, .基于弹性波理论的高铁线下结构病害快速检测方法[J]. 上海交通大学学报, 2015, 49(7): 1010-1016.

YANG Hongkai, CHE Ailan, TANG Zheng, et al. Elastic-wave-based detection method for under line structure of high-speed railway[J]. Journal of Shanghai Jiao Tong University, 2015, 49(7): 1010-1016.

[11] 盘龙江. 基于弹性波CT法的无砟轨道底座板混凝土状态检测技术[J]. 铁道建筑, 2018, 58(8): 93-96.

PAN Longjiang. Concrete Inspection Technique for Ballastless Track Base Plate Using Elastic Wave CT Method[J]. Railway Engineering, 2018, 58(8): 93-96.

[12] Tian Xiushu, Zhao Weigang, Du Yangliang, Wang Baoxian. Detection of mortar defects in ballastless tracks of high-speed railway using transient elastic wave method. Journal of Civil Structural Health Monitoring, 2018, 8(1), 151-160.

[13] 田秀淑, 杜彦良, 赵维刚. 基于瞬态冲击响应特性的无砟轨道砂浆层脱空的检测和识别[J]. 振动与冲击, 2019, 18(38): 148-153.

TIAN Xiushu, DU Yanliang, ZHAO Weigang. Detection and identification of mortar void in ballastless track of high-speed railway based on transient impact characteristics[J]. Journal of Vibration and Shock, 2019, 18(38): 148-153.

[14] Lades M, Vorbruggen J C, Buhmann J, et al. Distortion Invariant Object Recognition in the Dynamic Link Architecture[J]. IEEE Transactions on Computers, 1993, 42(3): 300-311.

[15] 刘晞远, 胡昊颖, 吴珊,. AR模型的谱分辨率及小信噪比下的性能分析[J]. 舰船电子工程, 2018, 38 (7): 131-136.

LIU Xiyuan, HU Haoying, WU Shan, et al. Performance Analysis on Spectrum Resolution Ratio and Small Noise-signal Ratio of AR Model-based Power Spectrum Estimation[J]. Ship Electronic Engineering, 2018, 38(7): 131-136.

[16] Oliver M A, Webster R. Kriging: method of interpolation for geographical information systems[J]. International Journal of Geographical Information Systems, 1990, 4(3): 313-332.

[17] Martin J D, Simpson T W. Use of Kriging Models to Approximate Deterministic Computer Models[J]. Aiaa Journal, 2004, 43(4):853-863.

PDF(1433 KB)

670

Accesses

0

Citation

Detail

段落导航
相关文章

/