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The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  1. Liao, Yuchen / Zhang, Ruiyang / Zong, Zhouhong / Wu, Gang: Channel-attention-based LSTM network for modeling temperature-induced responses of cable-stayed bridges. In: Structural Health Monitoring.

    https://doi.org/10.1177/14759217241241983

  2. Liao, Yuchen / Zhang, Ruiyang / Feng, Jinpeng / Wu, Gang (2024): Modal expansion-based deep learning framework for metamodeling vehicle-induced vibrations of bridges under vehicle fleets. In: Structures, v. 63 (May 2024).

    https://doi.org/10.1016/j.istruc.2024.106324

  3. Liao, Yuchen / Zhang, Ruiyang / Wu, Gang / Sun, Hao (2023): A Frequency-Based Ground Motion Clustering Approach for Data-Driven Surrogate Modeling of Bridges. In: Journal of Engineering Mechanics (ASCE), v. 149, n. 9 (September 2023).

    https://doi.org/10.1061/jenmdt.emeng-6812

  4. Feng, Jinpeng / Zhang, Haowei / Gao, Kang / Liao, Yuchen / Yang, Jie / Wu, Gang (2022): A machine learning and game theory-based approach for predicting creep behavior of recycled aggregate concrete. In: Case Studies in Construction Materials, v. 17 (December 2022).

    https://doi.org/10.1016/j.cscm.2022.e01653

  5. Feng, Jinpeng / Zhang, Haowei / Gao, Kang / Liao, Yuchen / Gao, Wei / Wu, Gang (2022): Efficient creep prediction of recycled aggregate concrete via machine learning algorithms. In: Construction and Building Materials, v. 360 (December 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.129497

  6. Liao, Yuchen / Lin, Rong / Zhang, Ruiyang / Wu, Gang (2023): Attention-based LSTM (AttLSTM) neural network for Seismic Response Modeling of Bridges. In: Computers & Structures, v. 275 (January 2023).

    https://doi.org/10.1016/j.compstruc.2022.106915

  7. Liao, Yuchen / Wang, Haochen / Hou, Shitong / Feng, Dongming / Wu, Gang (2022): Identification of the scour depth of continuous girder bridges based on model updating and improved genetic algorithm. In: Advances in Structural Engineering, v. 25, n. 11 (May 2022).

    https://doi.org/10.1177/13694332221095630

  8. Feng, Jinpeng / Gao, Kang / Gao, Wei / Liao, Yuchen / Wu, Gang (2022): Machine learning-based bridge cable damage detection under stochastic effects of corrosion and fire. In: Engineering Structures, v. 264 (August 2022).

    https://doi.org/10.1016/j.engstruct.2022.114421

  9. Li, Minghong / Zong, Zhouhong / Hao, Hong / Zhang, Xihong / Lin, Jin / Liao, Yuchen (2020): Post-blast performance and residual capacity of CFDST columns subjected to contact explosions. In: Journal of Constructional Steel Research, v. 167 (April 2020).

    https://doi.org/10.1016/j.jcsr.2020.105960

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