Yi Tang , Hang Lin , Rihong Cao , Yixian Wang , Yanlin Zhao
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引用次数: 0
Abstract
Empirical observations have revealed the dynamic evolution of slope stability with landslide displacement, yet existing methods lack a rigorous mechanical framework to characterize this time-dependent process. To address the theoretical limitations of conventional early warning systems that depend on kinematic parameters (e.g., velocity and acceleration), this study develops a multiscale modeling framework integrating damage mechanics and renormalization group theory. We propose a shear constitutive model incorporating progressive rock damage and establish critical state criteria through renormalization group theory, deriving a displacement-coupled dynamic safety factor equation. Validation via field data from a slope engineering project and the finite difference method (FDM) simulations demonstrates two critical advancements: (1) The non-uniformity of overburden normal stress across the slip surface leads to spatially varying shear constitutive curves in different regions; (2) Slope stability displays nonlinear evolutionary phases (elastic–plastic transition → accelerated degradation → residual state) directly linked to displacement progression. This framework pioneers a physics-based mapping between displacement monitoring and slope stability states, establishing mechanistic foundations for intelligent early landslide warning systems.
期刊介绍:
The use of computers is firmly established in geotechnical engineering and continues to grow rapidly in both engineering practice and academe. The development of advanced numerical techniques and constitutive modeling, in conjunction with rapid developments in computer hardware, enables problems to be tackled that were unthinkable even a few years ago. Computers and Geotechnics provides an up-to-date reference for engineers and researchers engaged in computer aided analysis and research in geotechnical engineering. The journal is intended for an expeditious dissemination of advanced computer applications across a broad range of geotechnical topics. Contributions on advances in numerical algorithms, computer implementation of new constitutive models and probabilistic methods are especially encouraged.