Predicting the behavior of these materials is important not only with respect to specific applications but also as the basis for new material design.
The frictional behavior of granular materials plays important roles in the movement of geo-materials in landslides and earthquake faults, and of industrial materials; many studies have been put forward to better understand the frictional behavior of granular materials under differing conditions.
Characterization of the phase changing behavior of granular materials is an important issue for design and optimization of latent heat thermal energy storage (LHTES) systems.
Due to the fluctuation and non-uniform distribution of temperature within the core structure of high-temperature gas-cooled reactors (HTGRs), the thermal expansion behavior of graphite materials plays an important role in the design of graphite components, especially of large-scale components.
Many applications of shape memory alloys require cyclic deformation, making fatigue behavior of material an important consideration in component design.
Grain size, pore size distribution and pore volume were established to be important factors determining electrochemical behavior of deposited materials.
Machine learning (ML) techniques are increasingly used to simulate the behavior of concrete materials and have become an important research area.
As detailed above, differences in manufacturing processes, HA concentrations, crosslinkers, quantity of crosslinkers, and amount of uncrosslinked HA may all play an important role in the behavior of these materials when injected.
The latter, which relate to variations in the water content and its distribution in the material, have an important influence on the global behavior of cementitious materials.
Dynamic fracture toughness, including initiation toughness, propagation toughness and arrest toughness, are important parameters for describing fracture behavior of rock materials.
