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学术期刊论文

Year Title Authors Journal
2024 Mitigating inflow acceleration effects in twin mountains using air jets: emphasis on anti-wind for high-speed railways Wang, J., Deng, E., Ni, Y.Q., He, X.H., Chan, P.W., Yang, W.C., Li, H., & Xie, Z.Y. Physics of Fluids
2024 Modeling of forced-vibration systems using continuous-time state-space neural network Li, H.W., Ni, Y.Q., Wang, Y.W., Chen, Z.W., Rui, E.Z., and Xu, Z.D. Engineering Structures
2024 Modeling of the hysteretic behavior of nonlinear particle damping by Fourier neural network with transfer learning Ye, X., Ni, Y.Q., Ao, W.K., & Yuan, L Mechanical Systems and Signal Processing
2024 Multistage graph convolutional network with spatial attention for multivariate time series imputation Chen, Q.Y., Cao, J.N., Yang, Y., Lin, W.Y., Wang, S.M., & Wang, Y.W. IEEE Transactions on Neural Networks and Learning Systems (Early Access)
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

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