Results 41 to 50 of about 148 (127)

A hybrid machine learning method of support vector regression with particle swarm optimization for predicting IRI in continuously reinforced concrete pavement

Journal of Engineering and Applied Science
For efficient maintenance planning and long-term performance assessment of continuously reinforced concrete pavement (CRCP), an accurate estimate of the International Roughness Index (IRI) is necessary.
Ali Alnaqbi, Waleed Zeiada, Ghazi Al-Khateeb   +2 more
doaj   +1 more source

Machine Learning Applications for Predicting Longitudinal Cracking in Continuously Reinforced Concrete Pavement

Construction Economics and Building
This study addresses the critical issue of longitudinal cracking in Continuously Reinforced Concrete Pavement (CRCP), a paramount concern in pavement engineering due to its significant impact on infrastructure performance and longevity. methodology.
Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada   +2 more
doaj   +1 more source

Long short‐term memory‐based real‐time prediction models for freezing depth and thawing time in unbound pavement layers

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 20, Page 3182-3196, 18 August 2025.
Abstract The prediction of freezing depth and thawing time of unbound pavement layers in cold regions is a critical task in pavement design and management. This study developed long short‐term memory (LSTM)‐based encoder–decoder models to accurately predict freezing depth and thawing time, with air temperature as the sole input variable.
Y. Ma, S. Park, A. Bae, K. Kwon, H. Choi
wiley   +1 more source

Deterioration Modeling of Pavement Performance in Cold Regions Using Probabilistic Machine Learning Method

Infrastructures
Accurate and reliable modeling of pavement deterioration is critical for effective infrastructure management. This study proposes a probabilistic machine learning framework using Bayesian-optimized Natural Gradient Boosting (BO-NGBoost) to predict the ...
Zhen Liu, Xingyu Gu, Wenxiu Wu
doaj   +1 more source

Machine learning models for predicting the International Roughness Index of asphalt concrete overlays on Portland cement concrete pavements

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 21, Page 3385-3402, 29 August 2025.
ABSTRACT Although estimating the International Roughness Index (IRI) is crucial, previous studies have faced challenges in addressing IRI prediction for asphalt concrete (AC) overlays on Portland cement concrete (PCC) pavements. This study introduces machine learning to predict the IRI of AC overlays on PCC pavements, focusing on incorporating pre ...
K. Kwon, Y. Yeom, Y. J. Shin, A. Bae, H. Choi   +4 more
wiley   +1 more source

Developing Superpave Bitumen Performance Grading in Ethiopia: Adapting to Historical and Future Climate Condition

Advances in Civil Engineering, Volume 2025, Issue 1, 2025.
This study is about the Superpave bitumen specification of the performance grading system for Ethiopia, considering historical and future climate conditions. By conducting statistical analysis and examining the performance characteristics of different bitumen grades across varying temperatures. Historical observed data (Tmax and Tmin) from 1990 to 2020
Birhanu Demissie Hailemariam, Robeam Solomon Melaku, Shambel Assefa Esheti, Arnab Biswas   +3 more
wiley   +1 more source

A Multiphysics Simulation of the Effects of Wicking Geotextile on Mitigating Frost Heave under Cold Region Pavement

Geosciences
Geotextile offers numerous benefits in improving pavement performance, including drainage, barrier functionality, filtration, and reinforcement. Wicking geotextile, a novel variant in this category, possesses the intrinsic ability to drain water ...
Yusheng Jiang, Zaid Alajlan, Claudia Zapata, Xiong Yu   +3 more
doaj   +1 more source

A Data‐Driven Framework for Explainable Artificial Intelligence in Pavement Distress Analysis and Decision Support: Integrating Clustering Models and Principal Component Analysis

Structural Control and Health Monitoring, Volume 2025, Issue 1, 2025.
The increasing complexity of transportation infrastructure demands advanced, data‐driven approaches for early pavement distress detection and maintenance decision‐making. Traditional assessment methods often fail to provide reliable, interpretable, and proactive insights into pavement degradation.
Xiaogang Guo, Yafeng Wang
wiley   +1 more source

Optimizing punchout prediction in rigid pavement using a hybrid GA-SVR approach

Discover Civil Engineering
A critical structural distress in Continuously Reinforced Concrete Pavement (CRCP), punchouts frequently result in expensive repairs and a shorter service life.
Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada   +2 more
doaj   +1 more source

Low‐Cost Portable Road Smoothness Testing Method Based on Pseudo‐Vibration Velocity Range

Advances in Civil Engineering, Volume 2024, Issue 1, 2024.
Road smoothness not only directly affects the safety and comfort of vehicle travel but also relates to the efficiency and cost‐effectiveness of road maintenance. Traditional road smoothness detection methods usually require professional equipment and personnel, leading to high costs and cumbersome operations.
Hongwei Jiang, Xinlong Tong, Yanhong Zhang, Zhoujing Ye, Junqing Li, Yu Wang, Yinghao Miao, Chayut Ngamkhanong   +7 more
wiley   +1 more source