Abstract
The reduction in shear strength due to moisture-induced swelling and the subsequent slaking of mudrocks is one of the leading causes of landslide hazards in mountainous regions. In practice, empirical/semiempirical approaches that have been adopted to identify this hazard are mostly based on macrolevel factors. However, those do not comprehensively consider the microlevel factors that contribute to the complex swelling/slaking process. Therefore, this study developed a comprehensive fuzzy logic-based model, which includes both the macrolevel landslide contributing factors and the microlevel factors, such as mineralogy, cementation, cation exchange capacity, in situ moisture content, density, and stress state. The model was developed from molecular simulations of swelling, and the subsequent slaking processes were identified using Monte Carlo simulations, molecular mechanics, and molecular dynamics. The results of the microlevel model are incorporated into the fuzzy logic model to create a universal landslide hazard potential model for mudrock slopes. The microlevel behaviour is incorporated in the coupled model via the cohesive energy density parameter for the mudrocks. The final coupled model was verified via the accurate prediction of the landslides and by comparing the predicted terminal water content with the water content of the mudrock samples collected from the actual landslides.
Original language | English |
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Pages (from-to) | 3583-3615 |
Number of pages | 33 |
Journal | Natural Hazards |
Volume | 116 |
Issue number | 3 |
DOIs | |
State | Published - Apr 2023 |
Bibliographical note
Publisher Copyright:© 2023, The Author(s), under exclusive licence to Springer Nature B.V.
Keywords
- Fuzzy logic
- Landslide hazard potential
- Molecular-level simulations
- Mudrocks
ASJC Scopus subject areas
- Water Science and Technology
- Atmospheric Science
- Earth and Planetary Sciences (miscellaneous)