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Caiying Mi on Muck Rack

Caiying Mi

As seen in: Taylor & Francis Online, Mechanical Engineering Magazine
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Articles

Rigid-Flexible coupling dynamics and vibration characteristics of heavy haul freight wagon cross braces: a CMP force element-based approach

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By Xu Hu, Yunhua Huang, Caiying Mi, Maohai Fu
| Taylor & Francis Online
This paper establishes a vehicle-track coupled dynamics model using component force elements (CMP) to analyse the rigid-flexible coupling dynamics of heavy haul freight wagon cross braces, focusing on straight-line running quality, curve negotiation stability, and vibration characteristics.
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Active Learning Kriging Model Combining With Kernel-Density-Estimation-Based Importance Sampling Method for the Estimation of Low Failure Probability

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By Southwest Jiaotong, Xufeng Yang, Yongshou Liu, Caiying Mi
| Mechanical Engineering Magazine Verified
Strategies combining active learning Kriging (ALK) model and Monte Carlo simulation (MCS) method can accurately estimate the failure probability of a performance function with a minimal number of training points. That is because training points are close to the limit state surface and the size of approximation region can be minimized. However, the estimation of a rare event with very low failure probability remains an issue, because purely building the ALK model is time-demanding.
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