Results 31 to 40 of about 148 (127)

Machine Learning Modelling of IRI in Continuously Reinforced Concrete Pavements Using LTPP Data: Comparative Evaluation of Advanced Algorithms

Civil Engineering Dimension
Accurately predicting International Roughness Index (IRI) is essential for effective pavement maintenance and long-term network sustainability. This study evaluates several advanced machine learning models for IRI prediction in Continuously Reinforced ...
Ali Alnaqbi, Waleed Zeiada, Ghazi Al-Khateeb, Muamer Abuzwidah   +3 more
doaj   +1 more source

Holistic multiphysics simulation of climatic responses of cold region pavements

Journal of Infrastructure Preservation and Resilience, 2023
In cold regions, the environment dynamics lead to variations of soil temperature, water content, and deformation, which are characterized by highly coupled physical interplay. The hydraulic and thermal properties of unsaturated soils are highly nonlinear,
Yusheng Jiang, Xiong Yu
doaj   +1 more source

Intelligent Prediction of Pavement Structural Degradation Using a Multimodel Ensemble Learning Approach

Structural Control and Health Monitoring, Volume 2026, Issue 1, 2026.
Accurate prediction of the long‐term structural response of pavement systems is critical for performance evaluation and intelligent maintenance within the context of structural health monitoring. This study proposes an automated machine learning framework to predict the time‐dependent evolution of pavement rutting and deflection using full‐scale ...
Kaiwen Lei, Bingyan Cui, Mian Zhang, Rui Mao, Yongzuo Du, Xingyu Gu, Zhen Liu, Ka-Veng Yuen   +7 more
wiley   +1 more source

Real‐Time Road Crack Mapping Using an Optimized Convolutional Neural Network

Complexity, Volume 2019, Issue 1, 2019., 2019
Pavement surveying and distress mapping is completed by roadway authorities to quantify the topical and structural damage levels for strategic preventative or rehabilitative action. The failure to time the preventative or rehabilitative action and control distress propagation can lead to severe structural and financial loss of the asset requiring ...
M-Mahdi Naddaf-Sh, SeyedSaeid Hosseini, Jing Zhang, Nicholas A. Brake, Hassan Zargarzadeh, Alex Alexandridis   +5 more
wiley   +1 more source

Development of Gene Expression Programming–Based Rutting Prediction Model for Smart Pavement Management Using LTPP Data

Advances in Civil Engineering
Rutting is a critical distress that severely compromises the performance of the road, especially in severe climate conditions and heavy traffic loads. Accurate rutting prediction is key to improving pavement maintenance and management.
Touqeer Ali Rind, Muhammad Arsalan Khan, Shiraz Ahmed, Muhammad Faisal Javed, Muhammad Umer Zubair, Maaz Khan   +5 more
doaj   +1 more source

Use of LTPP Data to Quantify Moisture Damage under Crack Sealing and Surface Treatments in Asphalt Pavements [PDF]

MATEC Web of Conferences, 2019
Crack sealing and seal coats are used to prevent the ingress of water into the pavement, thus delaying its deterioration. Yet, earlier studies indicated that sealing pavements in areas with high ground water table (GWT) prevented moisture from escaping ...
Mousa Momen R., Elseifa Mostafa A., Bashar Mohammed Z.   +2 more
doaj   +1 more source

Adaptive stochastic deterioration modeling for evaluating pavement survey schedules in relation to performance and management cost

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 31, Page 6701-6721, 29 December 2025.
Abstract Pavement performance impacts transportation mobility, safety, and comfort, with timely maintenance relying on field survey data. However, frequent surveys are costly and impractical. This study examines how survey timing and frequency influence maintenance events and pavement deterioration to optimize management strategies.
Zhe Wu, Zijun Xu, Linyi Yao, Lingxiao Shangguan, Guoyang Lu, Dawei Wang   +5 more
wiley   +1 more source

Research on Relationships among Different Distress Types of Asphalt Pavements with Semi‐Rigid Bases in China Using Association Rule Mining: A Statistical Point of View

Advances in Civil Engineering, Volume 2019, Issue 1, 2019., 2019
Distress types are significant for asphalt pavement maintenance decision, and relationships among them can greatly influence the decision outcomes. In this study, to analyze the relationships among different distress types from a statistical point of view, 282 asphalt pavements with semirigid base structures in 23 regions of China were surveyed to ...
Jing Li, Guoqiang Liu, Tao Yang, Jian Zhou, Yongli Zhao, Xu Yang   +5 more
wiley   +1 more source

A streamlined approach for probabilistic pavement life‐cycle performance prediction via physics‐informed neural networks

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 28, Page 5136-5152, 28 November 2025.
Abstract Pavement life cycle management (LCM) is essential for assessing the long‐term environmental and economic impacts of roadway infrastructure by means of pavement life cycle assessment (LCA) and life cycle cost analysis (LCCA). However, pavement LCA and LCCA studies frequently overlook the use phase due to the limited availability of performance ...
Jin Li, Wentao He, Huailei Cheng, Haopeng Wang   +3 more
wiley   +1 more source

A Double‐T model for rutting performance prediction integrating data augmentation and periodic patterns

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 26, Page 4507-4520, 7 November 2025.
Abstract Accurate rutting prediction is crucial for traffic safety and road maintenance, enabling timely interventions and cost‐effective strategies. Such prediction remains challenging, especially with limited data across road segments. As traditional methods struggle in the case of data scarcity and complexity, in this study, a Double‐T model is ...
Xingyi Zhu, Yanan Wu, Chao Wang, Yicong Hu, Luca Rosafalco, Stefano Mariani   +5 more
wiley   +1 more source