Peer-reviewedCC BY-NC-ND 4.0Scientific Reports
From wetting-front coalescence to urban road collapse: interpretable machine learning of hydro-mechanical failure under coupled rainfall and pipeline leakage
Related
- Hydro-mechanical assessment of tunnel–fill slope systems under extreme rainfall: effects of foundations and slope protection
- Comparison of machine learning and spatial interpolation methods for hourly rainfall data imputation in the Oliwski Stream catchment
- Continuous monitoring of deficit irrigation in avocado across two contrasting rainfall years using sensor networks, telemetry, and machine learning
- Reducing false alarms in crackmeter-based early warning of small-scale slope deformation via deep learning-driven asynchronous displacement–rainfall data fusion
- Scalable Causal-Interpretable Machine Learning for Cancer Prescreening Using Electronic Health Records
BibTeX
@article{xue2026from,
title = {{From wetting-front coalescence to urban road collapse: interpretable machine learning of hydro-mechanical failure under coupled rainfall and pipeline leakage}},
author = {Liming Xue and Qiangbing Huang and Jiawei Liang and Yuxuan Gou and Jun Dong},
journal = {Scientific Reports},
year = {2026},
month = oct,
doi = {10.1038/s41598-026-73498-4},
url = {https://www.nature.com/articles/s41598-026-73498-4},
note = {CC BY-NC-ND 4.0},
}
RIS
TY - JOUR
TI - From wetting-front coalescence to urban road collapse: interpretable machine learning of hydro-mechanical failure under coupled rainfall and pipeline leakage
AU - Liming Xue
AU - Qiangbing Huang
AU - Jiawei Liang
AU - Yuxuan Gou
AU - Jun Dong
PY - 2026
DA - 2026/10/11
JO - Scientific Reports
DO - 10.1038/s41598-026-73498-4
UR - https://www.nature.com/articles/s41598-026-73498-4
SN - 2045-2322
ER -