A review of GPR application on transport infrastructures: Troubleshooting and best practices

M Solla, V Pérez-Gracia, S Fontul - Remote Sensing, 2021 - mdpi.com
The non-destructive testing and diagnosis of transport infrastructures is essential because of
the need to protect these facilities for mobility, and for economic and social development …

Tunnel lining detection and retrofitting

Y Jiang, L Wang, B Zhang, X Dai, J Ye, B Sun… - Automation in …, 2023 - Elsevier
The underground tunnel structure is important and common in transport infrastructures. With
the increasing service time, it is crucial to detect the deteriorations in the ageing tunnel …

Automatic recognition of tunnel lining elements from GPR images using deep convolutional networks with data augmentation

H Qin, D Zhang, Y Tang, Y Wang - Automation in Construction, 2021 - Elsevier
Tunnel lining inspection using ground penetrating radar (GPR) is a routine procedure to
ensure construction quality. Yet, the interpretation of GPR data relies heavily on manual …

[HTML][HTML] TunGPR: Enhancing data-driven maintenance for tunnel linings through synthetic datasets, deep learning and BIM

H Zhu, M Huang, QB Zhang - Tunnelling and Underground Space …, 2024 - Elsevier
Non-destructive Testing (NDT) techniques and data-driven technologies are increasingly
applied in underground infrastructure maintenance, which can facilitate predictive …

GPRInvNet: Deep learning-based ground-penetrating radar data inversion for tunnel linings

B Liu, Y Ren, H Liu, H Xu, Z Wang… - … on Geoscience and …, 2021 - ieeexplore.ieee.org
A DNN architecture referred to as GPRInvNet was proposed to tackle the challenges of
map** the ground-penetrating radar (GPR) B-Scan data to complex permittivity maps of …

Using ground penetrating radar methods to investigate reinforced concrete structures

F Tosti, C Ferrante - Surveys in Geophysics, 2020 - Springer
This paper provides an overview of the existing literature on the subject of ground
penetrating radar (GPR) methods for the investigation of reinforced concrete structures. An …

A DL method to detect multi-type hidden objects in tunnel linings using a comprehensive GPR dataset

Q Ren, Y Wang, J Xu - Measurement, 2024 - Elsevier
This study proposes an enhanced detection method for tunnel lining hidden objects based
on the comprehensive Ground Penetrating Radar (GPR) dataset and an improved deep …

RCE-GAN: A rebar clutter elimination network to improve tunnel lining void detection from GPR images

Y Wang, H Qin, Y Tang, D Zhang, D Yang, C Qu… - Remote Sensing, 2022 - mdpi.com
Ground penetrating radar (GPR) is one of the most recommended tools for routine
inspection of tunnel linings. However, the rebars in the reinforced concrete produce a strong …

Enhanced imaging of concealed defects behind concrete linings using residual channel attention network for rebar clutter suppression

X Wang, H Liu, X Meng, J Cui, Y Du - Automation in Construction, 2024 - Elsevier
Abstract Ground Penetrating Radar (GPR) is a geophysical tool widely used for near-surface
detection and imaging, but its effectiveness in identifying defects behind reinforced concrete …

Recent advances in tree root map** and assessment using non-destructive testing methods: a focus on ground penetrating radar

AM Alani, L Lantini - Surveys in Geophysics, 2020 - Springer
This paper provides an overview of the existing literature on the subject of the assessment
and monitoring of tree roots and their interactions with the soil. An overview of tree root …