A systematic review of advanced sensor technologies for non-destructive testing and structural health monitoring

S Hassani, U Dackermann - Sensors, 2023 - mdpi.com
This paper reviews recent advances in sensor technologies for non-destructive testing
(NDT) and structural health monitoring (SHM) of civil structures. The article is motivated by …

BIM, machine learning and computer vision techniques in underground construction: Current status and future perspectives

MQ Huang, J Ninić, QB Zhang - Tunnelling and Underground Space …, 2021 - Elsevier
The architecture, engineering and construction (AEC) industry is experiencing a
technological revolution driven by booming digitisation and automation. Advances in …

Detection of concealed cracks from ground penetrating radar images based on deep learning algorithm

S Li, X Gu, X Xu, D Xu, T Zhang, Z Liu… - Construction and Building …, 2021 - Elsevier
Detecting concealed cracks in asphalt pavement has been a challenging task due to the
nonvisibility of the location of these cracks. This study proposes an effective method to …

Reinforced concrete structures: A review of corrosion mechanisms and advances in electrical methods for corrosion monitoring

R Rodrigues, S Gaboreau, J Gance, I Ignatiadis… - … and Building Materials, 2021 - Elsevier
Steel corrosion is the main cause of deterioration of reinforced concrete (RC) structures. We
provide an up-to-date review on corrosion mechanisms and recent advances in electrical …

Advances, limitations and prospects of nondestructive testing and evaluation of thick composites and sandwich structures: A state-of-the-art review

W Nsengiyumva, S Zhong, J Lin, Q Zhang, J Zhong… - Composite …, 2021 - Elsevier
In recent years, composite materials have gained popularity in numerous high-tech and
engineering applications, owing to their outstanding physico-mechanical properties. They …

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 …

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 …

GPR-based detection of internal cracks in asphalt pavement: A combination method of DeepAugment data and object detection

Z Liu, X Gu, W Wu, X Zou, Q Dong, L Wang - Measurement, 2022 - Elsevier
The lack of data and poor quality of ground penetrating radar (GPR) images have limited the
development of the object detection for internal cracks in asphalt pavement. To address this …

Application of combining YOLO models and 3D GPR images in road detection and maintenance

Z Liu, W Wu, X Gu, S Li, L Wang, T Zhang - Remote Sensing, 2021 - mdpi.com
Improving the detection efficiency and maintenance benefits is one of the greatest
challenges in road testing and maintenance. To address this problem, this paper presents a …

Unveiling the dielectric property change of concrete during hardening process by ground penetrating radar with the antenna frequency of 1.6 GHz and 2.6 GHz

R He, NL Lu - Cement and Concrete Composites, 2023 - Elsevier
With the extensively application of electronics at information age, the dielectric property of
concrete is one of the worthiest study topics for enhancing the development of smart …