Predictive modeling of longitudinal cracking in CRCP using PSO-tuned gradient boosting machines

Abstract Longitudinal cracking poses a serious threat to the longevity and functionality of continuously reinforced concrete pavement (CRCP). Using structural, traffic, and climatic data taken from the Long-Term Pavement Performance (LTPP) database, this study presents a machine learning system base...

Full description

Bibliographic Details

Published in:	Journal of Engineering and Applied Science
Main Authors:	Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada
Format:	Article
Language:	English
Published:	SpringerOpen 2025-05-01
Subjects:	Longitudinal cracking Concrete pavement Particle swarm optimization Gradient boosting machine Hybrid machine learning Pavement management systems
Online Access:	https://doi.org/10.1186/s44147-025-00623-x