Bayesian optimization based random forest and extreme gradient boosting for the pavement density prediction in GPR detection

Y Chen, F Li, S Zhou, X Zhang, S Zhang… - … and building materials, 2023 - Elsevier
The Ground penetrating radar (GPR) adopts non-destructive and continuous
electromagnetic (EM) monitoring technology that is influenced by the dielectric properties of …

GPR monitoring for road transport infrastructure: A systematic review and machine learning insights

M Rasol, JC Pais, V Pérez-Gracia, M Solla… - … and Building Materials, 2022 - Elsevier
Suitable road pavements assessment becomes essential to provide safe traffic movements
of people and goods. Moreover, a reliable transportation network is a crucial aspect of …

Real-time monitoring of asphalt concrete pavement density during construction using ground penetrating radar: theory to practice

S Wang, S Zhao, IL Al-Qadi - Transportation Research …, 2019 - journals.sagepub.com
Accurate real-time density monitoring is crucial in quality control and quality assurance
during the asphalt concrete (AC) pavement construction process. Ground penetrating radar …

Recognition of hidden distress in asphalt pavement based on convolutional neural network

W Liu, R Luo, Y Chen, X Yu - International Journal of Pavement …, 2023 - Taylor & Francis
Ground penetrating radar (GPR) is widely used in nondestructive tests of asphalt
pavements, but the characteristics of its detection data need to be extracted manually, and it …

Prediction of thin asphalt concrete overlay thickness and density using nonlinear optimization of GPR data

S Zhao, IL Al-Qadi, S Wang - NDT & E International, 2018 - Elsevier
The processing of ground-penetration radar (GPR) signals collected from thin asphalt
concrete (AC) overlay is a challenging task due to the limitation of GPR signal resolution. In …

Factors impacting monitoring asphalt pavement density by ground penetrating radar

S Wang, IL Al-Qadi, Q Cao - Ndt & E International, 2020 - Elsevier
Real-time asphalt concrete (AC) pavement density monitoring is important for quality control
(QC) and quality assurance (QA) purposes, because it allows correction during the …

[HTML][HTML] Development of a numerical model to predict the dielectric properties of heterogeneous asphalt concrete

Q Cao, IL Al-Qadi - Sensors, 2021 - mdpi.com
Ground-penetrating radar (GPR) has been used for asphalt concrete (AC) pavement density
prediction for the past two decades. Recently, it has been considered as a method for …

In-place hot-mix asphalt density estimation using ground-penetrating radar

IL Al-Qadi, Z Leng, S Lahouar… - Transportation research …, 2010 - journals.sagepub.com
This research proposes the innovative use of ground-penetrating radar (GPR) for effectively,
continuously, and rapidly estimating in-place hot-mix asphalt (HMA) density. On the basis of …

Automatic detection of asphalt pavement thickness: A method combining GPR images and improved Canny algorithm

L Wang, X Gu, Z Liu, W Wu, D Wang - Measurement, 2022 - Elsevier
The traditional drill core sampling method used for pavement thickness detection is
increasingly difficult to meet the increasing demand for pavement detection. At the same …

Development of asphalt mixture density estimation model applicable to wide air void content range using ground penetrating radar

L Cui, T Ling, Z Zhang, J Xin, R Li - Construction and Building Materials, 2021 - Elsevier
Density is one of the key properties that strongly affect the service quality and life of asphalt
mixture. Ground penetration radar (GPR) coupled with suitable density estimation model has …