[HTML][HTML] New innovations in pavement materials and engineering: A review on pavement engineering research 2021

JE Office, J Chen, H Dan, Y Ding, Y Gao, M Guo… - Journal of Traffic and …, 2021 - Elsevier
Sustainable and resilient pavement infrastructure is critical for current economic and
environmental challenges. In the past 10 years, the pavement infrastructure strongly …

[HTML][HTML] Research and applications of artificial neural network in pavement engineering: A state-of-the-art review

X Yang, J Guan, L Ding, Z You, VCS Lee… - Journal of Traffic and …, 2021 - Elsevier
Given the great advancements in soft computing and data science, artificial neural network
(ANN) has been explored and applied to handle complicated problems in the field of …

Automated decision making in highway pavement preventive maintenance based on deep learning

J Li, G Yin, X Wang, W Yan - Automation in Construction, 2022 - Elsevier
Decision-making in highway preventive maintenance (PM) is generally costly and
complicated. An inappropriate maintenance strategy could yield a low efficiency of budget …

Deep reinforcement learning for long‐term pavement maintenance planning

L Yao, Q Dong, J Jiang, F Ni - Computer‐Aided Civil and …, 2020 - Wiley Online Library
Inappropriate maintenance and rehabilitation strategies cause many problems such as
maintenance budget waste, ineffective pavement distress treatments, and so forth. A method …

Prediction model of asphalt pavement functional and structural performance using PSO-BPNN algorithm

M ** generic pavement rutting predictive models
AJ Haddad, GR Chehab, GA Saad - International Journal of …, 2022 - Taylor & Francis
Rutting prediction models are essential elements of efficient pavement management
systems. Accuracy of commonly used predictive models necessitates knowledge of the input …

Implementing life cycle cost analysis in road engineering: A critical review on methodological framework choices

B Moins, C France, A Audenaert - Renewable and Sustainable Energy …, 2020 - Elsevier
Life cycle cost analysis (LCCA) has received notable attention and application within the
road industry. As one of the three pillars in sustainability assessment, LCCA offers an …

Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks

J Zhang, J Cao, W Huang, X Shi, X Zhou - Neural Networks, 2023 - Elsevier
The Rutting prediction model is an essential element of efficient pavement management
systems. Accuracy of commonly used predictive model necessitates knowledge of the input …

Machine learning enhanced exploration of bubble dynamics beneath a horizontal wall

X Zhang, J Huang, KM Liew - Computer Methods in Applied Mechanics and …, 2024 - Elsevier
A better understanding of the dynamic behavior of a single bubble rising and impacting on a
horizontal substrate is crucial, yet it has traditionally been constrained by the necessity for …