Various studies have focused on predicting, evaluating, and controlling train-induced
building vibrations and radiated noise. This study aimed to clarify the theory of building …

Despite the fact that physics-informed neural networks (PINN) have been developed rapidly
in recent years, their inherent spectral bias makes it difficult to approximate multi-frequency …

The prediction of ground-borne vibrations induced by underground trains in tunnels is
advantageous for guiding vibration-mitigation designs. The supporting forces of the fastener …

The current deep learning models for braced excavation cannot predict deformation from the
beginning of excavation due to the need for a substantial corpus of sufficient historical data …

Natural frequency, damping ratio and dynamic stiffness are fundamental to the performance
of structures subjected to dynamic loads. Triply Periodic Minimal Surface (TPMS) composite …

Interface debonding and slab end arching of the anchor-reinforced and coated longitudinally
continuous slab tracks have been unprecedentedly investigated in this study. A novel finite …

Physics-informed deep learning has emerged as a promising approach that incorporates
physical constraints into the model, reduces the amount of data required, and demonstrates …

Anchors have been widely utilized to reinforce the CRTS II slab tracks. The mechanical
performance of the tracks in the reinforced-unreinforced transition zone exposed to extreme …

The long-term drying/wetting (D/W) and freezing/thawing (F/T) cycles damage the structure
of the roadbed soil in loess areas, leading to a series of engineering geological disasters …

The designed service life of slab tracks of high speed railways can be 60 years. To achieve
this goal, maintenance measures must be used properly to maintain tracks' damage …