scholarly journals Research on application of ground penetrating radar method in detecting side walls and small targets of Karst tunnel

2021 ◽  
Vol 268 ◽  
pp. 01070
Author(s):  
Shanshan Gao ◽  
Wei Li ◽  
Wenhua Zhu

In the tunnel projects construction process of our country, there are many crossing karst areas situations. Advanced detection of abnormal geological bodies in karst areas is essential to ensure the safety of tunnel construction. This paper takes Guizhou Provonce Expressway Project—Xinjie Tunnel as an example. By studying the overall karst situation of Xinjie Tunnel, the basic principles of Ground Penetrating Radar detection and tunnel detection principles are explained. The detection methods and effects of the Side Walls and Small Targets are explained by real examples. Advanced detection of the abnormal geological bodies that may be encountered in the tunnel construction and trying to avoid the possible geological disasters in the tunnel construction process, are very important to provide guarantee for the safety of tunnel construction.

2019 ◽  
Vol 38 (6) ◽  
pp. 453-459
Author(s):  
Nectaria Diamanti ◽  
A. Peter Annan

We provide a coherent approach for developing an understanding of how and where ground-penetrating radar (GPR) can be deployed for tunnel detection. While tunnels in general are of interest, the more specific focus is tunnels that are hand dug or created with a minimal amount of equipment and resources for clandestine purposes. Determining whether GPR can be used for tunnel detection is impossible without an in-depth knowledge of the operational environment and constraints. To effectively address the question, we define the general characteristics of clandestine tunnels, discuss how to estimate the responses amplitude, define the dominant noise types associated with GPR data, and point out how those factors are affected by the GPR system. The key aspects are illustrated using a controlled field case study.


2011 ◽  
Vol 228-229 ◽  
pp. 1185-1189
Author(s):  
Su Qi ◽  
Xing Xing Chen

The priority of traditional tunnel concrete quality testing method is drilling core .The traditional method damage tunnel structure and detection speed is slowly.we use this method cann’t effectively meet the demand of rapid growth of tunnel concrete qulity testing. So the more fast and effective detection methods are needed.A new fast and effective kind of concrete quality detection methods is ground penetrating radar can meet the extensive tunnel concrete nondestructive testing. This paper introduces the basic principle of ground penetrating radar.I illustrate the application of railway tunnel testing by the testing in Ju Gan runnel of Lan Yue railway.TI is significance for railway tunnel concrete in future.


2014 ◽  
Vol 1065-1069 ◽  
pp. 358-363
Author(s):  
Meng Meng Zhang ◽  
Xie Dong Zhang

Ground Penetrating Radar is a method using high frequency impulse electromagnetic wave to detect underground media distribution. It has been gradually widely used as it has the advantage of high accuracy, fast and nondestructive respecting to the conventional method such as visual measurement and confirmation with drilling hole. In the tunnel construction process, it is easy occurred that the quality problem of insufficient lining thickness, the distance of steel arch centering too large and the concrete disengaging. The work achieved in this paper based on the project of LongSheng tunnel and its conclusion and suggestion has important practical engineering significance.


Sensors ◽  
2016 ◽  
Vol 16 (12) ◽  
pp. 2067 ◽  
Author(s):  
Zehua Dong ◽  
Shengbo Ye ◽  
Yunze Gao ◽  
Guangyou Fang ◽  
Xiaojuan Zhang ◽  
...  

Author(s):  
Siqi Wang ◽  
Shan Zhao ◽  
Imad L. Al-Qadi

Accurate real-time density monitoring is crucial in quality control and quality assurance during the asphalt concrete (AC) pavement construction process. Ground penetrating radar (GPR) technology has shown great potential in the continuous real-time density prediction of AC pavement. However, it is not accepted as a routine method by transportation agencies in the United States due to the lack of validation under field testing conditions. In this study, three field tests were performed using GPR to estimate AC pavement density. The Al-Qadi-Lahouar-Leng model was used to predict the density from GPR signals. The reference scan method was used to remove the effect of surface moisture during construction. The gradient descent-based non-linear optimization method was used to reconstruct the overlapped GPR signals result from the use of thin AC overlay, which has been widely implemented as an AC pavement rehabilitation technique. Digital filtering and other signal processing methods were used to de-noise the signal. GPR results using the proposed methods were compared with field core data and nuclear gauge results. The results show that the proposed methods were effective in estimating in-situ AC pavement density using GPR. Continuous density estimation by installing GPR on the roller is suggested to provide real-time compaction monitoring during the AC pavement construction process.


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