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...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-05-01
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| Series: | Journal of Engineering and Applied Science |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s44147-025-00623-x |
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