Abstract: AbstractThe application of deep learning to ground penetrating radar (GPR) detection of urban road subsurface defects is often limited by the scarcity of real-world data and high computational costs. To address this, we ...

Abstract: AbstractShort-term prediction of track irregularity is essential for ensuring train operational safety and optimizing infrastructure maintenance costs. Existing prediction methods often overlook the impact of intermittent ...

Abstract: In current real-time hybrid testing (RTHT), command displacement is applied to the experimental substructure and a restoring force is fed back to the integration algorithm at each time step between the numerical and physical ...

Abstract: AbstractAccurate assessment of corrosion in concrete bridge decks is essential for ensuring structural safety and guiding long-term maintenance strategies. Ground-penetrating radar (GPR), as a widely adopted nondestructive ...