Detection of Rockfall on a Tunnel Concrete Lining with Ground-Penetrating Radar (GPR)

Lalagüe, Anne; Lebens, Matthew A; Hoff, Inge; Grøv, Eivind

doi:10.1007/s00603-016-0943-y

Cited by 50 publications

(19 citation statements)

References 9 publications

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“…The target is a good conductor rebar. To check the correlation between P i ' and P i of various relative permittivities, set the range of ε r2 ∈ [4,16]. A tilted surface likewise exists, where x∈ [0.5, 1.5] with an angle θ=5.7°.…”

Section: Forward Modelingmentioning

confidence: 99%

“…Ground penetrating radar (GPR) is a type of nondestructive testing technology used to detect an underground structure with the reflection characteristics of high-frequency electromagnetic waves at the interface of different electrical parameters. Owing to its fast and continuous characteristics, GPR is widely used in shallowlayer target detection, e.g., land mines [1], [2], municipal pipelines [3], and structural defects [4], [5].…”

Section: Introductionmentioning

confidence: 99%

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A Novel Rough - Surface Direct Wave Suppression Algorithm based on Energy Adaptive Analysis

Yong¹,

Weigang²,

Yanliang³

et al. 2016

JESTR

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As a nondestructive testing technology, ground penetrating radar (GPR) is widely used in the detection and recognition of high-speed railway subgrade diseases. Rough-surface direct wave suppression caused by locomotive vibration and subgrade irregularity is a challenge in the GPR signal process. Flat-surface assumption makes traditional method difficult to apply directly to the rough terrain environment. To remove rough-surface direct wave and improve the signal-to-noise ratio, a new adaptive algorithm is proposed in this paper. First, according to the characteristic of electromagnetic wave propagation, the echo model of GPR was constructed, and the composition of ground radar echo signal was analyzed. Next, the eigenvalue and eigenvector of the echo signal and ground direct wave were studied. With the increase of relative permittivity, the energy eigenvector of direct wave and echo signal converged to the same vector space. On this basis, a rough-surface direct wave suppression framework based on energy feature adaptive analysis was proposed. Finally, a numerical simulation and field experiment were carried out to verify the feasibility of the algorithm. Results showed that the algorithm effectively suppresses the rough ground direct wave, and the processing result preserves the target echo more completely. Without intervention, this method can be applied in automatic direct wave suppression, which will promote the development of automatic identification technology in the detection of railway subgrade diseases.

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Section: Forward Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Novel Rough - Surface Direct Wave Suppression Algorithm based on Energy Adaptive Analysis

Yong¹,

Weigang²,

Yanliang³

et al. 2016

JESTR

View full text Add to dashboard Cite

show abstract

“…The non-destructive testing (NDT) methods commonly adopted for the investigation of a tunnel void includes ground-penetrating radar (GPR) [1,2], ultrasonic resilience method [3], infrared photographing technology of temperature field [4], etc. Similarly, impact-echo (IE) is one another widely used NDT method to detect the piles [5] and other engineering structures [6], and it is also employed to detect the voids behind a tunnel lining.…”

Section: Introductionmentioning

confidence: 99%

Detecting the Void behind the Tunnel Lining by Impact-Echo Methods with Different Signal Analysis Approaches

Cao

Liang

et al. 2019

Applied Sciences

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A void behind the lining in a tunnel is considered to be a critical condition as it can significantly impair the tunnel service life. In this study, we adopted the impact-echo (IE) method to detect the voids. We designed two test conditions (tunnel lining with and without a void) for our experiments performed in a laboratory environment. The influences of void size and impact-void position were analysed using numerical simulations. The vibration response signals were analysed in the time, frequency, and time-frequency domains using various signal analysis approaches. The results were comparatively analysed to determine the best approach for void detection. The study helped establish that a tunnel void can be evaluated through the vibration energy (amplitude and duration) in the time domain, the resonance frequency and dynamic stiffness in the frequency domain, and the energy distribution in time-frequency domain. The wavelet transform analysis is the most appropriate method to observe the energy flow during the state changing and the dynamic stiffness method can determine the void position precisely.

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“…To monitor subsurface landslides, other technologies, such as electrical resistivity tomography (ERT), ground‐penetrating radar (GPR), and distributed optical fiber sensors (DOFS), have been investigated. However, key limitations on the use of these technologies are the cost and complexity of the monitoring system and the requirement of external power sources . Therefore, the research for self‐powered, effective, and real‐time landslide monitoring is still an urgent challenge, which needs to be conquered.…”

Section: Introductionmentioning

confidence: 99%

Flexible Timbo‐Like Triboelectric Nanogenerator as Self‐Powered Force and Bend Sensor for Wireless and Distributed Landslide Monitoring

Lin

Xiao

et al. 2018

Adv Materials Technologies

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As worldwide landslides frequently result in enormous casualties and huge economic losses, new landslide monitoring technologies are urgently required to develop for preventing and mitigating landslide hazard. In this paper, a self‐powered, flexible, timbo‐like triboelectric force and bend sensor (TTEFBS) is proposed and implemented, with the aim of effectively monitoring landslides. The fabricated TTEFBS, based on a single‐electrode working mode, consists of a timbo‐like inner polydimethylsiloxane (PDMS) core coated with a carbon electrode and an outer silicon rubber tube. Owing to the novel structure and sensing mechanism, the TTEFBS achieves high sensitivities (5.20 V N−1 under pressing and 1.61 V rad−1 under bending), fast response/relaxation time (<6 ms), and long‐term stability/reliability (more than 40 000 cycles). Furthermore, a wireless and distributed monitoring system using an array of TTEFBSs is developed for systematically detecting rockfalls, deep‐seated landslides, and superficial landslides. Additionally, a zigzag‐structured triboelectric nanogenerator (Z‐TENG), characterized by an open‐circuit voltage of ≈2058 V and a short‐circuit current of ≈154 µA, is successfully fabricated for scavenging energy from moving cars to provide power in wild environments, thereby forming a self‐powered monitoring system. This work may further inspire rapid progress of TENG in applications of wireless, distributed sensing, and environmental/infrastructure monitoring.

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Detection of Rockfall on a Tunnel Concrete Lining with Ground-Penetrating Radar (GPR)

Cited by 50 publications

References 9 publications

A Novel Rough - Surface Direct Wave Suppression Algorithm based on Energy Adaptive Analysis

A Novel Rough - Surface Direct Wave Suppression Algorithm based on Energy Adaptive Analysis

Detecting the Void behind the Tunnel Lining by Impact-Echo Methods with Different Signal Analysis Approaches

Flexible Timbo‐Like Triboelectric Nanogenerator as Self‐Powered Force and Bend Sensor for Wireless and Distributed Landslide Monitoring

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