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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Li, Huile / Wang, Tianyu / Yan, Huan (2023): Dynamic analysis of coupled train and cracked bridge systems using multiscale finite element modeling. Dans: International Journal of Structural Stability and Dynamics, v. 24, n. 6 (juillet 2023).

    https://doi.org/10.1142/s0219455424500573

  2. Li, Huile / Frangopol, Dan M. / Soliman, Mohamed / Xia, He (2016): Fatigue Reliability Assessment of Railway Bridges Based on Probabilistic Dynamic Analysis of a Coupled Train-Bridge System. Dans: Journal of Structural Engineering (ASCE), v. 142, n. 3 (mars 2016).

    https://doi.org/10.1061/(asce)st.1943-541x.0001435

  3. Wang, Tianyu / Li, Huile / Noori, Mohammad / Ghiasi, Ramin / Kuok, Sin-Chi / Altabey, Wael A. (2023): Seismic response prediction of structures based on Runge-Kutta recurrent neural network with prior knowledge. Dans: Engineering Structures, v. 279 (mars 2023).

    https://doi.org/10.1016/j.engstruct.2022.115576

  4. Chen, Shizhi / Wu, Gang / Li, Huile (2018): Multi-scale finite element model updating of highway bridge based on long-gauge strain response. Présenté pendant: Ninth International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018, 9-13 July 2018, Melbourne, Australia.

    https://doi.org/10.1201/9781315189390-383

  5. Li, Huile / Wang, Tianyu / Yang, Judy P. / Wu, Gang (2022): Deep Learning Models for Time-History Prediction of Vehicle-Induced Bridge Responses: A Comparative Study. Dans: International Journal of Structural Stability and Dynamics, v. 23, n. 1 (juillet 2022).

    https://doi.org/10.1142/s0219455423500049

  6. Li, Huile / Wang, Tianyu / Wu, Gang (2023): Probabilistic safety analysis of coupled train-bridge system using deep learning based surrogate model. Dans: Structure and Infrastructure Engineering, v. 19, n. 8 (novembre 2023).

    https://doi.org/10.1080/15732479.2021.2010104

  7. Li, Huile / Wang, Tianyu / Wu, Gang (2021): Dynamic response prediction of vehicle-bridge interaction system using feedforward neural network and deep long short-term memory network. Dans: Structures, v. 34 (décembre 2021).

    https://doi.org/10.1016/j.istruc.2021.09.008

  8. Ma, Fengbo / Li, Huile / Hou, Shitong / Kang, Xuecheng / Wu, Gang (2022): Defect investigation and replacement implementation of bearings for long-span continuous box girder bridges under operating high-speed railway networks: a case study. Dans: Structure and Infrastructure Engineering, v. 18, n. 5 (janvier 2022).

    https://doi.org/10.1080/15732479.2020.1867589

  9. Li, Huile / Wu, Gang / Cui, Mida (2020): A machine learning based approach for efficient safety evaluation of the high speed train and short span bridge system. Dans: Latin American Journal of Solids and Structures, v. 17, n. 7 ( 2020).

    https://doi.org/10.1590/1679-78256238

  10. Zhang, Lu / Wu, Gang / Li, Huile / Chen, Shizhi (2020): Synchronous Identification of Damage and Vehicle Load on Simply Supported Bridges Based on Long-Gauge Fiber Bragg Grating Sensors. Dans: Journal of Performance of Constructed Facilities (ASCE), v. 34, n. 1 (février 2020).

    https://doi.org/10.1061/(asce)cf.1943-5509.0001376

  11. Li, Huile / Xia, He / Soliman, Mohamed / Frangopol, Dan M. (2015): Bridge stress calculation based on the dynamic response of coupled train–bridge system. Dans: Engineering Structures, v. 99 (septembre 2015).

    https://doi.org/10.1016/j.engstruct.2015.04.014

  12. Li, Huile / Soliman, Mohamed / Frangopol, Dan M. / Xia, He (2017): Fatigue Damage in Railway Steel Bridges: Approach Based on a Dynamic Train-Bridge Coupled Model. Dans: Journal of Bridge Engineering (ASCE), v. 22, n. 11 (novembre 2017).

    https://doi.org/10.1061/(asce)be.1943-5592.0001144

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