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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. Lin, Chaoning / Chen, Siyu / Hariri-Ardebili, Mohammad Amin / Li, Tongchun (2023): An Explainable Probabilistic Model for Health Monitoring of Concrete Dam via Optimized Sparse Bayesian Learning and Sensitivity Analysis. In: Structural Control and Health Monitoring, v. 2023 (February 2023).

    https://doi.org/10.1155/2023/2979822

  2. Lin, Chaoning / Li, Tongchun / Chen, Siyu / Yuan, Li / van Gelder, P. H. A. J. M. / Yorke-Smith, Neil (2022): Long-term viscoelastic deformation monitoring of a concrete dam: A multi-output surrogate model approach for parameter identification. In: Engineering Structures, v. 266 (September 2022).

    https://doi.org/10.1016/j.engstruct.2022.114553

  3. Lin, Chuan / Wang, Xiangyu / Su, Yan / Zhang, Ting / Lin, Chaoning (2022): Deformation Forecasting of Pulp-Masonry Arch Dams via a Hybrid Model Based on CEEMDAN Considering the Lag of Influencing Factors. In: Journal of Structural Engineering (ASCE), v. 148, n. 7 (July 2022).

    https://doi.org/10.1061/(asce)st.1943-541x.0003356

  4. Lin, Chaoning / Li, Tongchun / Chen, Siyu / Lin, Chuan / Liu, Xiaoqing / Gao, Lingang / Sheng, Taozhen (2020): Structural identification in long-term deformation characteristic of dam foundation using meta-heuristic optimization techniques. In: Advances in Engineering Software, v. 148 (October 2020).

    https://doi.org/10.1016/j.advengsoft.2020.102870

  5. Lin, Chaoning / Li, Tongchun / Liu, Xiaoqing / Zhao, Lanhao / Chen, Siyu / Qi, Huijun (2019): A deformation separation method for gravity dam body and foundation based on the observed displacements. In: Structural Control and Health Monitoring, v. 26, n. 2 (January 2019).

    https://doi.org/10.1002/stc.2304

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