Machine Learning Applications for Predicting Longitudinal Cracking in Continuously Reinforced Concrete Pavement
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. The research uses a dual-phase methodology to leve...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
UTS ePRESS
2025-03-01
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| Series: | Construction Economics and Building |
| Subjects: | |
| Online Access: | https://epress.lib.uts.edu.au/journals/index.php/AJCEB/article/view/9143 |
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