| Year | Title | Authors | Journal |
|---|---|---|---|
| 2024 | Nonlinear autoregression-based non-destructive evaluation approach for railway tracks using an ultrasonic fiber bragg grating array | Dang, D.Z., Wang, Y.W., & Ni, Y.Q. | Construction & Building Materials |
| 2024 | Nonlinear spatiotemporal characteristics of wind-rain flow around the trains passing through the tunnel entrance during rainstorms | Li, G.Z., E Deng, Ni, Y.Q., Ouyang, D.H., & Yang, W.C. | Nonlinear Dynamics |
| 2024 | Optimal parameter estimation for uncertain structural systems under unknown random excitations | Ying, Z.G., & Ni, Y.Q. | Journal of Vibration and Control (OnlineFirst) |
| 2024 | Reflections on potential applications of LiDAR for in-situ observations of high-rise buildings during typhoons: focusing on wind-driven rain and windborne debris | Deng, E., Dong, Y., Yue, H., & Ni, Y.Q. | Advances in Wind Engineering |
| 2024 | Reproducing the flight behavior of falling debris from railway tunnel vault using a high-speed train ejection experiment and moving-overset-mesh simulation | Deng, E., Liu, Y.K., Yang, W.C., & Ni, Y.Q. | Tunnelling and Underground Space Technology |
| 2024 | Revamping structural health monitoring of advanced rail transit systems: a paradigmatic shift from digital shadows to digital twins | Adeagbo, M.O., Wang, S.M., & Ni, Y.Q. | Advanced Engineering Informatics |
| 2024 | Shallow defects identification for urban roads using interpretable dynamic broad network | Zhang, Y., Yin, R., Yang, X.M., & Ni, Y.Q. | Transportation Geotechnics |
| 2024 | Spatial-temporal characteristics of the transient flow field around high-speed trains transiting the subgrade-cutting transition section under crosswinds | Yang, W.C., Zhao, L., Deng, E., Ni, Y.Q., Zhao, W., Liu, Y.K., & Ouyang, D.H. | Alexandria Engineering Journal |
| 2024 | Structural damage inverse detection from noisy vibration measurement with physics-informed neural networks | Yuan, L., Ni, Y.Q., Rui, E.Z., & Zhang, W. | Journal of Physics. Conference Series |
| 2024 | Time-averaged flow field reconstruction based on a multifidelity model using physics-informed neural network (PINN) and nonlinear information fusion | Rui, E.Z., Zeng, G.Z., Ni, Y.Q., Chen, Z.W., & Hao, S. | International Journal of Numerical Methods for Heat & Fluid Flow |
Journal Publications
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