[HTML][HTML] Review of advanced road materials, structures, equipment, and detection technologies

JREE Office, MC Cavalli, D Chen, Q Chen… - Journal of Road …, 2023 - Elsevier
As a vital and integral component of transportation infrastructure, pavement has a direct and
tangible impact on socio-economic sustainability. In recent years, an influx of …

An intelligent approach for predicting the strength of geosynthetic-reinforced subgrade soil

MNA Raja, SK Shukla, MUA Khan - International Journal of …, 2022 - Taylor & Francis
In the recent times, the use of geosynthetic-reinforced soil (GRS) technology has become
popular for constructing safe and sustainable pavement structures. The strength of the …

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 …

Construction quality evaluation of asphalt pavement based on BIM and GIS

C Han, F Tang, T Ma, L Gu, Z Tong - Automation in Construction, 2022 - Elsevier
Construction quality evaluation is critical to guarantee the long-term performance of asphalt
pavement. Exiting evaluation approaches lag and limit the efficiency of quality control. To …

Review of applications of artificial intelligence algorithms in pavement management

Y Xu, Z Zhang - Journal of Transportation Engineering, Part B …, 2022 - ascelibrary.org
With the continuous advancement in data-acquisition devices, computer vision techniques,
and machine-learning (ML) algorithms over the past decades, artificial intelligence (AI) …

Cognitive-based crack detection for road maintenance: An integrated system in cyber-physical-social systems

L Fan, D Cao, C Zeng, B Li, Y Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Effective road maintenance can not only achieve a balance between limited resources and
long-term high-efficiency performance of road but also reduce the loss of life and property …

[HTML][HTML] Evaluating and comparing machine learning approaches for effective decision making in renewable microgrid systems

I Elabbassi, M Khala, O Eloutassi - Results in Engineering, 2024 - Elsevier
This study addresses the critical issue of energy management in micro-grid (MG) systems
incorporating renewable energy sources and hydrogen storage. The research introduces an …

A novel approach for detection of pavement crack and sealed crack using image processing and salp swarm algorithm optimized machine learning

ND Hoang, TC Huynh, XL Tran… - Advances in Civil …, 2022 - Wiley Online Library
During the phase of periodic survey, sealed crack and crack in asphalt pavement surface
should be detected accurately. Moreover, the capability of identifying these two defects can …

Suitability evaluation method for preventive maintenance of asphalt pavement based on interval-entropy weight-TOPSIS

Y Li, J Zhang, Y He, Z Li - Construction and Building Materials, 2023 - Elsevier
The preventive maintenance (PM) comprehensive evaluation model is developed to find the
optimal airport asphalt pavement PM project quickly, accurately and efficiently. By optimizing …

Modelling of pavement performance evolution considering uncertainty and interpretability: A machine learning based framework

L Yao, Z Leng, J Jiang, F Ni - International Journal of Pavement …, 2022 - Taylor & Francis
Machine learning (ML) based pavement performance models have gained increasing
popularity in recent years due to their strong power in modelling complex relationships …