Slope stability analysis based on convolutional neural network and digital twin
Author:
Publisher
Springer Science and Business Media LLC
Subject
Earth and Planetary Sciences (miscellaneous),Atmospheric Science,Water Science and Technology
Link
https://link.springer.com/content/pdf/10.1007/s11069-023-06055-1.pdf
Reference37 articles.
1. Ahmad F, Tang XW, Qiu JN, Wroblewski P, Ahmad M, Jamil I (2022) Prediction of slope stability using Tree Augmented Naive-Bayes classifier: modeling and performance evaluation. Math Biosci Eng 19(5):4526–4546. https://doi.org/10.3934/mbe.2022209
2. Azarafza M, Akgün H, Ghazifard A, Asghari-Kaljahi E, Rahnamarad J, Derakhshani R (2021) Discontinuous rock slope stability analysis by limit equilibrium approaches—a review. Int J Digital Earth 14(12):1918–1941. https://doi.org/10.1080/17538947.2021.1988163
3. Bui XN, Nguyen H, Choi Y, Nguyen-Thoi T, Zhou J, Dou J (2020) Prediction of slope failure in open-pit mines using a novel hybrid artificial intelligence model based on decision tree and evolution algorithm. Sci Rep 10(1):9939. https://doi.org/10.1038/s41598-020-66904-y
4. Chen Y, Lin H, Wang Y, Cao R, Zhang C, Zhao Y (2020) Modified double-reduction method considering strain softening and equivalent influence angle. KSCE J Civ Eng 24(11):3257–3266. https://doi.org/10.1007/s12205-020-0547-7
5. Du S-G, Saroglou C, Chen Y, Lin H, Yong R (2022) A new approach for evaluation of slope stability in large open-pit mines: a case study at the Dexing Copper Mine, China. Environ Earth Sci 81(3):102. https://doi.org/10.1007/s12665-022-10223-0
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