Geogrids & reinforcement · 2026
Machine Learning-Based Evaluation of Bearing Capacity in Geosynthetic-Reinforced Working Platforms over Soft Subgrade
Original research · free full-paper access · authors credited
Research overview
Investigates machine-learning estimation of bearing capacity for reinforced working platforms over weak subgrades.
Kontain’s reading note. Refer to the original paper for the authors’ full methods, findings and limitations.
- Authors
- Syed Shadman Sakib, Sarper Demirdogen, Jie Han
- Publication year
- 2026
- DOI
- 10.1051/e3sconf/202674005010
- Access
- Full text at the original publisher or institutional repository.
- Reuse
- CC BY 4.0 ↗
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Materials, test conditions, exposure and loading matter. Research findings need project-specific assessment before use as design inputs.
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