›› 2016, Vol. 37 ›› Issue (S1): 669-673.doi: 10.16285/j.rsm.2016.S1.088

• Testing Technology • Previous Articles    

Spatial distribution characteristics of karst based on cross hole electromagnetic computerized tomography technique

LUO Cai-hong1, XING Jian1, GUO Lei1, QIN shang-lin2   

  1. 1. Highway Administration of Huizhou Municipality, Huizhou, Guangdong 516008, China; 2. Institute of Rock and Soil Mechanics, Chinese Academy of Sciences, Wuhan, Hubei 430071
  • Received:2016-04-21 Online:2016-06-16 Published:2018-06-09
  • Supported by:
    This work was supported by the Guangdong Traffic Science and Technology Project(201407).

Abstract: Karst is one of the hidden dangers in the construction of bridge pile foundation. It is particularly important for the safety of the bridge to prove the spatial distribution characteristics of karst in the scope of the bridge. At present, the exploration of karst is mostly based on the combination of drilling and geophysical prospecting methods. But the specific karst exploration needs to choose the appropriate geophysical method according to the specific situation. Commonly used geological radar and other geophysical prospecting methods often can not accurately determine the boundary of the local area of the cave due to their limited scope of application. The cross hole electromagnetic wave CT technique reconstructed the distribution image of the medium absorption coefficient of the wells base on the difference of the absorption of electromagnetic wave in different media. The image visually shows the internal structure of geological bodies. It has the characteristics of high resolution and small exploration distance. It is especially suitable for detecting the distribution of karst cave in the local area such as bridge pier. This paper introduces the principle, working method and application effect of the electromagnetic wave method CT detection technology by an example of detecting the karst of Shuixi bridge pier of highway S119. The results show that cross hole CT technology has high precision and reliability. It can fully and clearly reveal the spatial distribution of the karst, so as to provide reliable geological data for engineering design.

Key words: crosshole electromagnetic wave, CT detection technique, karst, exploration

CLC Number: 

  • TU 443
[1] LIU Zong-hui, LIU Mao-mao, ZHOU Dong, LAN Ri-yan, WU Heng, WANG Ye-tian, . Recognition method of typical anomalies in karst tunnel construction based on attribute analysis of ground penetrating radar [J]. Rock and Soil Mechanics, 2019, 40(8): 3282-3290.
[2] YUAN Wei, LIU Shang-ge, NIE Qing-ke, WANG Wei, . An approach for determining the critical thickness of the karst cave roof at the bottom of socketed pile based on punch failure mode [J]. Rock and Soil Mechanics, 2019, 40(7): 2789-2798.
[3] HUANG Sheng-gen, LIU Dong-jun, HU Yong-jian,. Simulation analysis and application study of electromagnetic wave computed tomography in detecting karst caves [J]. , 2018, 39(S1): 544-550.
[4] LI Shu-cai, PAN Dong-dong, XU Zhen-hao, LI Li-ping, LIN Peng,. A model test on catastrophic evolution process of water inrush of a concealed karst cave filled with confined water [J]. , 2018, 39(9): 3164-3173.
[5] YIN Jun-fan, LEI Yong, CHEN Qiu-nan, LIU Yi-xin, DENG Jia-zheng,. Upper bound analysis of the punching shear failure of cave roof in karst area [J]. , 2018, 39(8): 2837-2843.
[6] ZHAO Ming-hua, TANG Xian-li, XIAO Yao, YANG Chao-wei . Model tests on punching properties of karst cave roof under pile tip considering different thick-span ratios [J]. , 2018, 39(4): 1159-1167.
[7] LI Jian-peng, NIE Qing-ke, LIU Quan-sheng, YU Jun-chao,. Risk assessment method of karst ground collapse based on weight back analysis [J]. , 2018, 39(4): 1395-1400.
[8] LI Hao, BAI Hai-bo, WU Jian-jun, LI Zhi-yong, MENG Qing-bin, GUO Jun-qing, ZHU De-fu, XIAO Meng, . D-P stochastic damage constitutive model and its application in preventing water inrush of karst collapsed column [J]. Rock and Soil Mechanics, 2018, 39(12): 4577-4587.
[9] ZHAO Ming-hua, ZHU Zhi-ren, HUANG Ming-hua, YANG Chao-wei, XU Zhuo-jun. Study on thickness of safety for cave roofs suffered bending failure in karst areas [J]. , 2018, 39(11): 4201-4209.
[10] LI Jian-peng, NIE Qing-ke, LIU Quan-sheng, JIA Xiang-xin,. Logistic regression model for stability assessment of karst ground collapse of Tangshan city [J]. , 2017, 38(S2): 250-256.
[11] LI Hong-bo, JIA Feng, LI Jing, LI Shuo-biao,. Key technologies for design of subsea tunnel of Dalian metro line 5 [J]. , 2017, 38(S1): 395-401.
[12] YANG Zi-han, YANG Xiao-li, XU Jing-shu, LI Yong-xin, SUN Zhi-bin,. Two methods for rock wall thickness calculation in karst tunnels based on upper bound theorem [J]. , 2017, 38(3): 801-809.
[13] HUANG MING, FU Jun-jie, CHEN Fu-quan, JIANG Song. Damage characteristics of karst cave roof and its safety thickness calculation under the coupling effect of pile-tip load and seismic wave [J]. , 2017, 38(11): 3154-3162.
[14] LI Li-ping, LIU Shang, LI Shu-cai, SHI Shao-shuai, CHEN Di-yang, ZHOU Yi,LIN Peng, WANG Jian-hua, LIU Cong,. Development of testing system for coupled seepage and triaxial stress measurements and its application to permeability characteristic test on filling medium [J]. , 2017, 38(10): 3053-3061.
[15] ZHANG Zhen, CHEN Zhong-da, ZHU Yao-ting, HU Wen-hua, WU Fu-quan, LIU Chao-qun,. Effect of in-situ stress on stability of underlying karst cave [J]. , 2016, 37(S2): 715-723.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!