A5086038148- Railway Engineering and Dynamics
- Mechanical stress and fatigue analysis
- Civil and Geotechnical Engineering Research
- Gear and Bearing Dynamics Analysis
- Structural Health Monitoring Techniques
- Railway Systems and Energy Efficiency
- Tribology and Lubrication Engineering
- Transport Systems and Technology
- Mechanical Engineering Research and Applications
- Mechanical Engineering and Vibrations Research
- Vehicle Noise and Vibration Control
- Engineering Applied Research
- Mechanical Failure Analysis and Simulation
Southwest Jiaotong University
2020-2024
A long-term tracking test was performed on a newly designed high-speed train with the nominal speed of 250 km/h. The wheel roughness and structural vibration were both recorded during two re-profiling cycles. 3rd order polygonal wear observed in early stage. axlebox can be aggravated even at lower when passing frequency approaches P2 resonance frequency. Subsequently, 22nd–25th 14th–15th developed. trend analysis suggests that development high-order is exponential-like. Moreover, localised...
The high-frequency excitation generated by the wheel polygon seriously affects safety of train. In order to explore evolution mechanism polygonisation, a long-term prediction model circumferential wear on both sides wheelset is proposed. Based new updating strategy, implemented combining coupled vehicle/track dynamic and model. local tangential contact FaStrip USFD (a proposed University Sheffield). By analysing measured data, five states are summarised, which employed as non-circular...
Abstract The dynamical performance of vehicles on railway tracks is significantly influenced by wheel‐rail interactions, which makes the force be a safety indicator vehicle systems. Owing to high cost direct measurement, inversion models are widely used measure force. This study proposes model called Lightweight Wheel‐Rail Force Inversion Model (LFIM) calculate using vibration signals collected from system. can extract relevant features, and outperforms prevalent models. It also resource...
摘要: 针对动车组在高速运行阶段出现的客室内异常噪声现象,结合线路试验测试数据,通过频域与时域分析方法,进行声源识别与振动传递分析。数据分析结果显示客室异响是由于地板的异常振动引起的声辐射。由于轴箱的异常振动主频幅值小于构架,且车辆系统异常振动频率为牵引电机转频及其倍频,故排除轮轨激扰与车下设备产生异常振动的可能性,将故障定位于传动系统。依据牵引电机与齿轮箱典型故障的振动频谱特征,因其与异常振动频率不相符,故可将故障锁定在联轴节处。结合转子动力学理论,推导弹性联轴节不对中状态下的受力方程,理论分析可知,不对中效应会导致转子系统产生以转动频率为基频的倍频振动,这与数据分析结果是吻合的。因此在后续试验中更换联轴节,结果表明,更换联轴节后客室地板异常振动衰减,惰行工况尤为明显,加速度方均根值降低67%,异常振动1X与3X主频幅值消失,2X与4X主频幅值分别降低了78%与66%。客室地板振动水平达到理想效果,理论分析与试验结果得到相互验证。