doi:

DOI: 10.3724/SP.J.1249.2017.03265

Journal of Shenzhen University Science and Engineering (深圳大学学报理工版) 2017/34:3 PP.265-271

Runway pavement void identification based on wavelet transform


Abstract:
In order to investigate the influences of voids on runway vibration response, a scale model test of concrete plate with sand cushion is conducted. By using the falling weight to simulate impact loads, vertical acceleration signals of pavement under different void conditions are obtained. Wavelet transform method is used to perform energy spectrum analysis, time scale analysis and wavelet packet analysis in the phase plane. Local characteristic of pavement can be characterized by the time-frequency map, by which the differences of acceleration signals caused by voids can be achieved. The result shows that the pavement vibration characteristic is changed due to different void conditions, which leads to the spectrum response differences and energy redistributions of frequency band. By wavelet transform of acceleration signal, the influences of pavement void on signal energy are obtained. The signal energy differences for void area and half-void area could be adopted in pavement void identification.

Key words:road engineering,pavement vibration,pavement void,wavelet transform,wavelet packet,airport runway,nondestructive examination

ReleaseDate:2017-06-16 14:08:44



[1] 李肃义,林 君,阳贵红,等. 电性源时域地空电磁数据小波去噪方法研究[J]. 地球物理学报, 2013,56(9): 3146-3152. Li Suyi, Lin Jun, Yang Guihong, et al. Ground-airborne electromagnetic signals de-noising using a combined wavelet transform algorithm[J]. Chinese Journal of Geophysics, 2013, 56(9): 3146-3152.(in Chinese)

[2] 梁桂兰,徐卫亚,谈小龙,等. 岩石高边坡安全监测数据的小波变换去噪处理[J]. 岩石力学与工程学报, 2008, 27(9): 1837-1844. Liang Guilan, Xu Weiya, Tan Xiaolong, et al. Denosing processing of safety monitoring data for high rock slope based on wavelet transform[J]. Chinese Journal of Rock Mechanics and Engineering, 2008, 27(9): 1837-1844.(in Chinese)

[3] 刘汉丽,裴 韬,周成虎. 用于时间序列聚类分析的小波变换和特征量提取方法[J]. 测绘科学技术学报,2014,31(4): 373-376. Liu Hanli, Pei Tao, Zhou Chenghu. Wavelet transform and statistical characteristics extraction appliedto times series clustering analysis[J]. Journal of Geomatics Science and Technology, 2014, 31(4): 373-376.(in Chinese)

[4] 张士文,张 峰,王子骏,等. 一种基于小波变换能量与神经网络结合的串联型故障电弧辨识方法[J].电工技术学报, 2014, 29(6): 290-302. Zhang Shiwen, Zhang Feng, Wang Zijun, et al. Series arc fault identification method based on energy produced by wavelet transformation and neural network[J]. Transactions of China Electrotechnical Society, 2014, 29(6): 290-302.(in Chinese)

[5] 刘国光, 武志玮, 牛富俊,等. 基于BP神经网络的场道脱空检测方法及实验[J]. 深圳大学学报理工版, 2016, 33(3):309-315. Liu Guoguang, Wu Zhiwei, Niu Fujun, et al. Theoretical and experimental research on airport pavement void test based on back propagation neural network[J]. Journal of Shenzhen University Science and Engineering, 2016, 33(3):309-315.(in Chinese)

[6] 刘国光,武志玮,刘志勇,等. 基于小波变换的场道脱空BP神经网络预测法研究[J]. 振动与冲击, 2016, 35(18):203-209. Liu Guoguang, Wu Zhiwei, Liu Zhiyong, et al. Back propagation neural network applied in the prediction of pavement void based on wavelet transform method[J]. Journal of Vibration and Shock, 2016, 35(18):203-209.(in Chinese)

[7] 谢耀国,姚熊亮,崔洪斌,等. 基于小波分析的实船水下爆炸船体响应特征[J]. 爆炸与冲击,2017,37(1): 99-106. Xie Yaoguo, Yao Xiongliang, Cui Hongbin, et al. Wavelet analysis on shock response of a real ship subjected to non-contact underwater explosion[J]. Explosion and Shock Waves, 2017,37(1): 99-106.(in Chinese)

[8] 聂治豹,郑 宏,张 谭. 基于强度折减法确定边坡临界滑面的小波变换法[J]. 岩土力学,2017,38(6):1-5. Nie Zhibao, Zheng Hong, Zhang Tan. Location of slope critical slip surfaces based on strength reduction technique and wavelet[J]. Rock and Soil Mechanics, 2017,38(6):1-5.(in Chinese)

[9] 孙增寿,李晓鹏,韩培琰. 基于小波分析和移动荷载动力响应的连续梁损伤识别研究[J]. 世界桥梁,2017, 45(1):33-38. Sun Zengshou, Li Xiaopeng, Han Peiyan. Study of continuous beam damage identification based on wavelet analysis and live-load dynamic response[J]. World Bridges, 2017, 45(1):33-38.(in Chinese)

[10] 杨仁树,付晓强,杨国梁,等. EMD和FSWT组合方法在爆破振动信号分析中的应用研究[J]. 振动与冲击, 2017, 36(2):58-64. Yang Renshu, Fu Xiaoqiang, Yang Guoliang, et al. Application of EMD and FSWT combination method in blasting vibration signal analysis[J]. Journal of Vibration and Shock, 2017, 36(2):58-64.(in Chinese)

[11] 费鸿禄,曾翔宇,杨智广. 隧道掘进爆破振动对地表影响的小波包分析[J]. 爆炸与冲击,2017,37(1): 77-83. Fei Honglu, Zeng Xiangyu, Yang Zhiguang. Influence of tunnel excavation blasting vibration on earth's surface based on wavelet packet analysis[J]. Explosion and Shock Waves, 2017,37(1): 77-83.(in Chinese)

[12] 李 辉,王 毅,杨晓萍,等. 基于多小波和PSO-RBF神经网络的水电机组振动故障诊断[J]. 西北农林科技大学学报自然科学版,2017,45(2): 227-234. Li Hui, Wang Yi, Yang Xiaoping, et al. Vibration fault diagnosis for hydropower generating unit based on multiwavelet and PSO-RBF neural network[J]. Journal of Northwest A&F University Natural Science Edition, 2017, 45(2): 227-234.(in Chinese)

[13] 薛雅娟,曹俊兴. 聚合经验模态分解和小波变换相结合的地震信号衰减分析[J]. 石油地球物理勘探, 2016, 51(6):1148-1155. Xue Yajuan, Cao Junxing. Seismic attenuation analysis using ensemble empirical mode decomposition and wavelet transform[J]. Oil Geophysical Prospecting, 2016, 51(6):1148-1155.(in Chinese)

[14] 陈 松,陈立爱,吴跃波. 基于小波变换的振动信号分析方法研究[J]. 洛阳理工学院学报自然科学版,2016,26(4):52-54. Chen Song, Chen Li'ai, Wu Yuebo. Research of vibration signal analysis method based on wavelet transform[J]. Journal of Luoyang Institute of Science and Technology Natural Science Edition, 2016, 26(4): 52-54.(in Chinese)

[15] 郭金泉,欧芬兰,许艺青,等. 基于模态振型和平稳小波变换的悬臂梁微小缺陷识别研究[J]. 应用力学学报,2016,33(6):1016-1021. Guo Jinquan, Ou Fenlan, Xu Yiqing, et al. Research on small damage detection in cantilever beam based on vibration mode and stationary wavelet transform[J]. Chinese Journal of Applied Mechanics, 2016, 33(6): 1016-1021.(in Chinese)

[16] 王 旭,张俊波,黄 鹏. 大跨度球面网壳结构风力荷载间歇特性研究[J]. 湖南大学学报自然科学版,2016,43(11):78-85. Wang Xu, Zhang Junbo, Huang Peng. Experimental study on intermittent characteristics of force coefficient of long-span spherical shells[J]. Journal of Hunan University Natural Sciences Edition, 2016, 43(11): 78-85.(in Chinese)

[17] 刘 红,柳杨茂. 基于小波变换和支持向量机的风电功率爬坡事件识别与预测[J]. 东北电力大学学报,2016,36(6):30-35. Liu Hong, Liu Yangmao. An approach for wind power climbing event identification and prediction based on wavelet and SVM[J]. Journal of Northeast Dianli University, 2016, 36(6): 30-35.(in Chinese)

[18] 宋 阳,吴 凡,刘德扣,等. 基于声发射及小波奇异性的钢轨损伤检测[J]. 振动与冲击, 2017, 36(2):196-200. Song Yang, Wu Fan, Liu Dekou, et al. Rail damage detection method based on acoustic emission and wavelet singularity[J]. Journal of Vibration and Shock, 2017, 36(2):196-200.(in Chinese)

[19] 胡 波,柳炳康,王静峰. 基于小波变换的再生混凝土框架试验破坏过程分析[J]. 土木工程学报, 2014,47(6): 34-42. Hu Bo, Liu Bingkang, Wang Jingfeng. Damage process analysis of a recycled concrete frame based on wavelet transform[J]. China Civil Engineering Journal, 2014, 47(6): 34-42.(in Chinese)

[20] Huang C S, Su W C. Identification of modal parameters of a time invariant linear system by continuous wavelet transformation[J]. Mechanical Systems and Signal Processing, 2007, 21(4):1642-1664.

[21] Ovanesova A V, Suárez L E. Applications of wavelet transforms to damage detection in frame structures[J]. Engineering Structures, 2004, 26(1): 39-49.

[22] 彭永恒,马 荣. 声振法水泥混凝土路面地基脱空判定[J]. 黑龙江大学学报自然科学版, 2009,26(4): 276-280. Peng Yongheng, Ma Rong. Defect ground sill void of cement concrete pavement on acoustic-vibration[J]. Journal of Heilongjiang University Natural Science Edition, 2009, 26(4): 276-280.(in Chinese)

[23] 吴传海,肖春发. 基于FWD测试的水泥路面板底脱空判别物元分析方法[J]. 中外公路, 2011,31(4): 64-68. Wu Chuanhai, Xiao Chunfa. FWD test of void beneath cement concrete pavement slab discriminant analysis method based on matter-element[J]. Journal of China & Foreign Highway, 2011, 31(4): 64-68.(in Chinese)

[24] 阳宏毅. 脱空状态下水泥混凝土路面汽车荷载下动态力学指标响应分析[J]. 中外公路, 2012,32(1): 98-100. Yang Hongyi. Dynamic response analysis of mechanical indexes of cement concrete pavement void under vehicle load[J]. Journal of China & Foreign Highway, 2012, 32(1): 98-100.(in Chinese)

[25] 易志坚,韩 西,钟 厉,等. 基于频率参数变化的混凝土路面脱空识别研究[J]. 中外公路, 2010,30(3): 80-83. Yi Zhijian, Han Xi, Zhong Li, et al. Study on concrete pavement void identification based on frequency parameters[J]. Journal of China & Foreign Highway, 2010, 30(3): 80-83.(in Chinese)