TY  - Data
T1  - "High-Precision Observation Equipment for the Three-Dimensional Microstructural Dynamic Evolution Process under Water-Heat-Force Coupling Effects" dataset
A1  - from Bohai
DO  - 10.12072/ncdc.loess.db7393.2026
PY  - 2026
DA  - 2026-05-25
PB  - National Cryosphere Desert Data Center
AB  - This dataset originates from in situ, high-precision dynamic observation experiments of three-dimensional microstructures within small geotechnical specimens (such as loess) under coupled multi-physics interactions of water, heat, and force. The observation system is based on an independently developed multi-field coupled three-dimensional microstructure in situ scanning apparatus, comprising a multifunctional triaxial pressure chamber, a high-precision mechanical loading module, a controllable seepage module, a wide-temperature-range thermal control module, and a multi-scale micrometre CT imaging system. This configuration enables the application of confining pressure, axial stress, seepage pressure, and temperature fields ranging from -20°C to +60°C to the specimen, whilst simultaneously acquiring micrometre-scale three-dimensional structural images under real stress conditions. Operating under integrated loading and scanning conditions, the system permits in situ scanning to be paused and initiated at any point during mechanical loading, seepage, hydrothermal coupling, or failure processes. This enables continuous documentation of real-time multiscale microstructural evolution within specimens, including pore structure, fracture propagation, and particle rearrangement.This dataset facilitates the reconstruction of three-dimensional microstructural evolution processes in geotechnical specimens subjected to coupled hydrothermal-mechanical loading. Through multi-temporal CT volumetric data and DVC displacement fields, it enables visual identification of pore structures, fracture development, and localised deformation zones. Furthermore, it permits coupled analysis of loading data, seepage data, and temperature responses alongside structural changes. This dataset supports the development of digital twin models capturing the micro-macro behaviour of geomaterials, providing critical data for elucidating failure mechanisms, calibrating multiscale numerical simulations, 
DB  - NCDC
UR  - http://www.ncdc.ac.cn/portal/metadata/ec414cc9-3c4e-44fd-a296-5b84140a62cb
ER  -