Machine-learning ensembled probabilistic methods for time-dependent reliability analysis of reservoir slopes under rapid water level drawdown using Bayesian model averaging (BMA)
- DOI
- 10.1038/s41598-025-27532-6
- Published
- 2025-11-29
- Container
- Scientific Reports
- Publisher
- Springer Science and Business Media LLC
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1038/s41598-025-27532-6,
title = {Machine-learning ensembled probabilistic methods for time-dependent reliability analysis of reservoir slopes under rapid water level drawdown using Bayesian model averaging (BMA)},
author = {Zehang Li and Zhu Yang and Long Teng and Shiping Xie and Mi Tian},
year = {2025},
journal = {Scientific Reports},
doi = {10.1038/s41598-025-27532-6},
url = {https://doi.org/10.1038/s41598-025-27532-6}
}RIS
TY - JOUR TI - Machine-learning ensembled probabilistic methods for time-dependent reliability analysis of reservoir slopes under rapid water level drawdown using Bayesian model averaging (BMA) AU - Zehang Li AU - Zhu Yang AU - Long Teng AU - Shiping Xie AU - Mi Tian PY - 2025 JO - Scientific Reports DO - 10.1038/s41598-025-27532-6 UR - https://doi.org/10.1038/s41598-025-27532-6 ER -
APA
Li, Z., Yang, Z., Teng, L., Xie, S., & Tian, M. (2025). Machine-learning ensembled probabilistic methods for time-dependent reliability analysis of reservoir slopes under rapid water level drawdown using Bayesian model averaging (BMA). Scientific Reports. https://doi.org/10.1038/s41598-025-27532-6
Source records
- crossref · retrieved 2026-09-26T01:26:43.059Z