A review on empirical methods of pavement performance modeling

A Hu, Q Bai, L Chen, S Meng, Q Li, Z Xu - Construction and Building …, 2022 - Elsevier
This paper conducts a comprehensive review of empirical methods of pavement
performance modeling. The paper firstly analyzes performance measures used in existing …

[HTML][HTML] Use of Wehner-Schulze machine to evaluate pavement skid resistance: A review

F Canestrari, E Mariani, LP Ingrassia - Journal of Traffic and Transportation …, 2024 - Elsevier
Pavement skid resistance plays a crucial role in ensuring road safety and avoiding
accidents. In the past, the laboratory evaluation of the skid resistance was carried out by …

[PDF][PDF] AI mix design of fly ash admixed concrete based on mechanical and environmental impact considerations

KC Onyelowe, AM Ebid, HA Mahdi… - Civil Engineering …, 2023 - researchgate.net
It has become very important in the field of concrete technology to develop intelligent models
to reduce overdependence on laboratory studies prior to concrete infrastructure designs. In …

Evaluate asphalt pavement frictional characteristics based on IGWO-NGBoost using 3D macro-texture data

Y Hu, Z Sun, L Pei, Y Han, W Li - Expert Systems with Applications, 2024 - Elsevier
Friction, or skid resistance, is an important feature of road pavements. It is influenced by a
combination of factors. Accurately predicting the friction coefficient and thus effectively …

Long-term skid resistance of high-friction surface treatment of pavement using high-alumina refractory waste

X Xue, X Zheng, B Guan, J Liu, D Ding, R Xiong… - … and Building Materials, 2022 - Elsevier
In this study, the feasibility of using high-alumina refractory waste, namely, silicon carbide-
mullite brick (SMB) and refractory castable (RC), as alternative aggregates in high-friction …

Evolution of prediction models for road surface irregularity: Trends, methods and future

Y Wu, Y Pang, X Zhu - Construction and Building Materials, 2024 - Elsevier
In the modern era, the importance of prioritizing traffic safety has become increasingly
evident, requiring dedicated focus. An effective strategy for improving traffic safety involves …

Development of dynamic modulus prediction model using artificial neural networks for colombian mixtures

PK Acharjee, MI Souliman, F Freyle… - … Engineering, Part B …, 2024 - ascelibrary.org
Dynamic modulus is a key material property to predict the performance of flexible
pavements. Several prediction models have been developed worldwide to predict the …

Effects of load and environment on the durability and anti-skid performance of road heat-reflective coating

J Fan, Y Jiang, Y Yi, T Tian, K Yuan, J Xue - Construction and Building …, 2022 - Elsevier
Reducing high temperature rutting on asphalt pavement is of great importance to improve
the quality of pavement engineering and road traffic safety. In laboratory and field tests, this …

A new FCM-XGBoost system for predicting Pavement Condition Index

L Lin, S Li, K Wang, B Guo, H Yang, W Zhong… - Expert Systems with …, 2024 - Elsevier
Abstract Predicting Pavement Condition Index (PCI) is crucial for identifying potential
pavement distresses and developing effective pavement maintenance strategies. Here, a …

Explainable highway performance degradation prediction model based on LSTM

X Sun, H Wang, S Mei - Advanced Engineering Informatics, 2024 - Elsevier
With the dense and huge highway network in China, the highway maintenance
management system has become the most concerned issue for Chinese highway managers …