Inversion and Simulation Algorithm of High-Density Surface Wave Method for Pseudo Co-Seismic Source and Its Application

doi:10.16183/j.cnki.jsjtu.2023.430

Abstract

Abstract:

Accurate detection of karst is of utmost importance for infrastructure construction. However, traditional surface wave methods for data acquisition and processing fall short in meeting the requirements of large-scale infrastructure projects in karst areas. In order to address these limitations, an improved approach called the high-density pseudo-source surface wave method has been proposed based on the traditional surface wave method. This method involves the collection of a large volume of data through high-density data acquisition, where multiple measurements at the same location with different pseudo-sources are combined during the inversion process, significantly enhancing the efficiency and utilization of the detection process. A workflow for establishing numerical models using the high-density pseudo-source surface wave method has been developed and validated. Additionally, field applications of this method have been conducted. The research findings demonstrate a strong correlation between the results obtained from the high-density pseudo-source surface wave method and those from drilling exploration, highlighting a significant improvement in karst detection. These achievements provide valuable insights and references for the rapid and accurate detection of karst in large-scale infrastructure projects.

Key words: karst exploration, dispersion curve, high density surface wave method, inversion analysis, numerical simulation

CLC Number:

TU42]

JIN Tao, GAO Bin, WANG Qiangqiang, ZHOU Hang, HE Wen, FENG Shaokong. Inversion and Simulation Algorithm of High-Density Surface Wave Method for Pseudo Co-Seismic Source and Its Application[J]. Journal of Shanghai Jiao Tong University, 2025, 59(7): 1029-1040.

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References 23

[1]	FAN J, XU LI W T, WANG X Z, et al. Fine detection of large-scale complex geological structures based on geophysical prospecting techniques[J]. Environmental Earth Sciences, 2023, 82(3): 82-83.
[2]	袁道先. 中国岩溶学[M]. 北京: 地质出版社, 1994.
	YUAN Daoxian. Chinese karstology[M]. Beijing: Geological Publishing House, 1994.
[3]	贾龙, 蒙彦, 潘宗源, 等. 钻孔雷达反射成像在岩溶发育场地探测中的应用[J]. 中国岩溶, 2019, 38(1): 124-129.
	JIA Long, MENG Yan, PAN Zongyuan, et al. Study on application of borehole radar reflection imaging in the detection of karst area[J]. Carsologica Sinica, 2019, 38(1): 124-129.
[4]	吴庆良, 唐彬雪, 王惠贤. 综合物探方法在黏土地区开挖隧道的应用[J]. 西南大学学报(自然科学版), 2023, 45(6): 192-200.
	WU Qingliang, TANG Binxue, WANG Huixian. Application of comprehensive geophysical prospecting method in tunnel excavation in clay area[J]. Journal of Southwest University (Natural Science Edition), 2023, 45(6): 192-200.
[5]	肖洋, 于维刚, 何宇. 高密度电阻率法在余凯高速公路岩溶隧道浅埋段地质探测中的应用研究[J]. 现代隧道技术, 2019, 56 (Sup.2): 700-705.
	XIAO Yang, YU Weigang, HE Yu. Application of high density resistivity method in geological exploration of shallow buried section of Yukai Expressway karst tunnels[J]. Modern Tunnelling Technology, 2019, 56 (Sup.2): 700-705.
[6]	尹雪波. 岩溶隧道超前地质预报综合预报技术的应用效果分析[J]. 四川地质学报, 2022, 42(2): 313-316.
	YIN Xuebo. The application effect of integrated advanced geological prediction technology of karst tunnel[J]. Acta Geologica Sichuan, 2022, 42(2): 313-316.
[7]	王薇, 邓小虎, 金聪, 等. 电磁波CT揭露重大工程岩溶发育特征——以某地铁岩溶勘察为例[J]. 科学技术与工程, 2020, 20(34): 13977-13982.
	WANG Wei, DENG Xiaohu, JIN Cong, et al. The characteristics of karst development in major projects revealed by electromagnetic wave computed tomography: A case for karst investigation of a metro[J]. Science Technology and Engineering, 2020, 20(34): 13977-13982.
[8]	林天翔, 叶冠林, 王祺, 等. 冲击映像法及其在超长距离顶管施工泥浆套检测中的应用[J]. 土木与环境工程学报(中英文), 2022, 44(5): 148-156.
	LIN Tianxiang, YE Guanlin, WANG Qi, et al. Impact image method and its application in the detection of slurry for longdistance pipe jacking construction[J]. Journal of Civil and Environmental Engineering, 2022, 44(5): 148-156.
[9]	罗术, 金俊俊, 甄大勇, 等. 基于数值模拟分析的弹性波CT岩溶探测能力研究与应用[J]. 工程地球物理学报, 2023, 20(3): 330-336.
	LUO Shu, JIN Junjun, ZHEN Dayong, et al. Application of the elastic wave tomography in karst exploration[J]. Chinese Journal of Engineering Geophysics, 2023, 20(3): 330-336.
[10]	杨博, 龙友明, 刘境奇, 等. 基于高分辨率Radon变换的瑞利波反演在役路基动模量[J]. 振动与冲击, 2022, 41(10): 222-230.
	YANG Bo, LONG Youming, LIU Jingqi, et al. Rayleigh wave back-calculation for the dynamic modulus of subgrades in service based on the high resolution linear Radon transform[J]. Journal of Vibration and Shock, 2019, 41(10): 222-230.
[11]	熊嫘, 孙成禹, 蔡瑞乾. 柱对称条件下地震面波波场正演研究[J]. 石油地球物理勘探, 2023, 58(1): 133-144.
	XIONG Lei, SUN Chengyu, CAI Ruiqian. Forward wave-field modelling of seismic surface waves under cylindrical symmetry[J]. Oil Geophysical Prospecting, 2023, 58(1): 133-144.
[12]	李志刚. 瞬态面波法在滑坡勘察中的应用[J]. 水科学与工程技术, 2020(2): 84-86.
	LI Zhigang. Application of transient surface wave method in landslide investigation[J]. Water Science and Engineering Technology, 2020(2): 84-86.
[13]	温燕林, 于海英, 陈飞, 等. 面波反演苏北—南黄海盆地地壳三维S波速度结构[J]. 地震工程学报, 2023, 45(1): 130-137.
	WEN Yanlin, YU Haiying, CHEN Fei, et al. Surface wave inversion of three-dimensional S-wave velocity structure in the crust of North Jiangsu and South Yellow Sea Basin[J]. Journal of Earthquake Engineering, 2023, 45(1): 130-137.
[14]	张银松, 曹聪, 康世海, 等. 重庆市中梁山地区隐伏塌陷特征及物探勘测的思路[J]. 中国岩溶, 2020, 39(6): 918-927.
	ZHANG Yinsong, CAO Cong, KANG Shihai, et al. Characteristics of hidden collapse in Zhongliangshan area of Chongqing and its approach to geophysical exploration[J]. Carsologica Sinica, 2019, 39(6): 918-927.
[15]	石振明, 沈健, 刘鎏, 等. 桩底溶洞探测中瞬时相位差强度计算方法的优化及应用[J]. 工程地质学报, 2021, 29(5): 1545-1554.
	SHI Zhenming, SHEN Jian, LIU Liu, et al. Optimization and application of instantaneous phase-difference intensity calculation method in detecting bottom cave of pile foundation[J]. Journal of Engineering Geology, 2021, 29(5): 1545-1554.
[16]	陈爽爽, 李鹏, 张智, 等. 线性台阵被动源面波法在地下空间探测中的应用[J]. 人民长江, 2022, 53(2): 77-81.
	CHEN Shuangshuang, LI Peng, ZHANG Zhi, et al. Application of linear-array passive-source surface-wave method in underground-space detection[J]. Yangtze River, 2022, 53(2): 77-81.
[17]	王旭明, 马若龙, 刘现锋, 等. 综合物探技术在垃圾填埋场渗漏探测中的应用研究[J]. 工程地球物理学报, 2021, 18(6): 903-910.
	WANG Xuming, MA Ruolong, LIU Xianfeng, et al. Application of integrated geophysical exploration technology in leakage detection of landfill sites[J]. Chinese Journal of Engineering Geophysics, 2021, 18(6): 903-910.
[18]	王栩, 王志辉, 陈昌昕, 等. 城市地下空间地球物理探测技术与应用[J]. 地球物理学进展, 2021, 36(5): 2204-2214.
	WANG Xu, WANG Zhihui, CHEN Changxin, et al. Geophysical exploration technology and its application in urban underground space[J]. Progress in Geophysics, 2021, 36(5): 2204-2214.
[19]	胡俊杰, 彭青阳, 徐洪苗. 综合物探方法在垃圾填埋场选址勘查中的应用[J]. 工程地球物理学报, 2020, 17(5): 596-603.
	HU Junjie, PENG Qingyang, XU Hongmiao. Application of comprehensive geophysical methods in site investigation of landfill[J]. Chinese Journal of Engineering Geophysics, 2020, 17(5): 596-603.
[20]	黄建权, 李明陆, 粟超良, 等. 综合物探在岩溶勘察中的应用分析[J]. 工程地球物理学报, 2020, 17(5): 610-617.
	HUANG Jianquan, LI Minglu, SU Chaoliang, et al. Application of comprehensive geophysical methods in site investigation of landfill[J]. Chinese Journal of Engineering Geophysics, 2020, 17(5): 610-617.
[21]	张健, 冯旭亮, 岳想平. 综合物探方法在隐伏岩溶探测中的应用[J]. 物探与化探, 2022, 46(6): 1403-1410.
	ZHANG Jian, FENG Xuliang, YUE Xiangping. Application of comprehensive geophysical exploration method in detecting buried karst[J]. Geophysical and Geochemical Exploration, 2022, 46(6): 1403-1410.
[22]	PANG J, XIA J, ZHOU C, et al. Common-midpoint two-station analysis of estimating phase velocity using high-frequency ambient noise[J]. Soil Dynamics and Earthquake Engineering, 2022,159: 107356.
[23]	克里木, 李辉, 冯少孔, 等. 基于高密度面波技术的堆石坝密实度检测初探[J]. 中国水利水电科学研究院学报, 2020, 18(5): 337-346.
	KE Limu, LI Hui, FENG Shaokong, et al. Preliminary exploration of compaction detection of rubble mound dam based on high-density surface wave technology[J]. Journal of China Institute of Water Resources and Hydropower Research, 2020, 18(5): 337-346.

材料	ρ/(kg·m^-3)	E/MPa	μ	v_P/(m·s^-1)	v_S/(m·s^-1)	v_R/(m·s^-1)
填土	1 800	510	0.35	674.34	323.94	302.82
溶洞	1 600	780	0.32	835.23	429.72	399.90
基岩	2 600	1 890	0.30	989.22	528.76	490.53