Deploying machine learning for long-term road pavement moisture prediction: A case study from Queensland, Australia
Moisture accumulation within road pavements, particularly in unbound granular materials with or without thin sprayed seals, presents significant challenges in high-rainfall regions such as Queensland. This infiltration often leads to various forms of pavement distress, eventually causing irreversibl...
Saved in:
| Main Authors: | Ayesh Dushmantha, Ruixuan Zhang, Yilin Gui, Jinjiang Zhong, Chaminda Gallage |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
KeAi Communications Co., Ltd.
2025-06-01
|
| Series: | Journal of Road Engineering |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2097049825000186 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Relationship of Road Pavement Deformation Moduli, Determined by Different Methods
by: Giedrius Siaudinis
Published: (2006-06-01) -
THE SIMULATION OF GRANULAR PARTICLE ON DRY AND MOISTURIZED POROUS HORIZONTAL SURFACES
by: Dewi Muliyati, et al.
Published: (2021-04-01) -
MATERIALS USED IN THE ROAD BASES: METHOD OF THE RESIDUAL DEFORMATIONS’ CALCULATION
by: A. S. Aleksandrov, et al.
Published: (2019-09-01) -
Vehicle Dynamics Model as Road Pavement Load Generator
by: Z. Lozia
Published: (2015-06-01) -
Development of Pavement Condition Index and Roughness Index Relationship for Optimal Pavement Maintenance Strategies: A Case Study of Johnstone Road.
by: Bogere, David
Published: (2025)