The simultaneous prediction of wheel surface wear is one the most challenging tasks in railway field, which requires knowledge vehicle–track dynamics, rolling contact mechanics, and other tribological phenomena. In this paper, a new model for predicting profile presented to study detail characteristics railway. able consider effect track flexibility on evolution. proposed modelling approach inc...

Abstract This paper develops a wheel profile fine-tuning system (WPFTS) that comprehensively considers the influence of on damage, vehicle stability, safety, and passenger comfort. WPFTS can recommend one or more optimized profiles according to train operators’ needs, e.g., reducing wear, mitigating development out-of-roundness (OOR), improving shape stability profile. Specifically, includes fo...

the evaluation and control of the trains induced vibrations needs even more attention in the case of underground tracks which passes near to monuments and historical sites. the rail corrugations which occur due to the wheels’ impulse loads during the operation period of underground railway tracks, usually amplify the ground borne noise and vibration. in the current study, the mentioned phenomen...

Wheel slip activity detection is crucial in railway maintenance, as it can contribute to avoiding wheel damage but also track deteriorations leading significant maintenance costs, trains delays, well the risk of accidents. characterised by lower adhesion between and wheel, especially braking conditions, locking wheels. It complex model or predict, being influenced a multitude factors including ...