TY  - Data
T1  - Dataset of a theoretical friction model for sliding interfaces under hydro-mechanical-thermal coupling
A1  - ta wu rui
DO  - 10.12072/ncdc.loess.db7339.2026
PY  - 2026
DA  - 2026-06-04
PB  - National Cryosphere Desert Data Center
AB  - To reveal the hydro–thermal–mechanical multiscale contact friction mechanisms of sliding interfaces in geological hazards such as landslides, this study first focuses on the porous structure and strongly random contact characteristics of sliding interfaces. Based on the Gumbel probability distribution, the interfacial structural evolution from the creep accumulation of individual contact asperities to the overall initiation of sliding is described, and the evolution of interfacial structure during frictional processes is characterized by incorporating volume contact theory. Meanwhile, for water-bearing interfaces, the influence of water content on interfacial deformation is considered, further improving the representation of interfacial structural evolution during friction. Subsequently, a creep constitutive relationship is introduced to describe the stress evolution on individual contact asperities, leading to further refinement of the existing rate-and-state friction model. On this basis, by coupling the interfacial structural evolution process with the local stress state of individual contact asperities, a theoretical friction model for sliding interfaces under hydro-mechanical-thermal coupling is established. The proposed model reveals the mechanisms by which the evolution of macroscopic interfacial structure and microscopic local stress governs the contact friction behavior of sliding interfaces. The dataset reflects the influence of macroscopic interfacial structural evolution and microscopic local stress variations on sliding interface friction behavior, and provides data support and theoretical references for the investigation of sliding interface friction mechanisms and multi-field coupled numerical simulations in landslides and other geological hazards.The data are stored in Excel (*.xlsx) format and Origin project files (*.opju). Different worksheets within the data files correspond to experimental data and model prediction comparison results for differen
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/55f5d352-072a-4879-970d-fcd63bfbfc49
ER  -