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Zhong-Rong Lu ORCID

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. Yang, Dahao / He, Yuenan / Liao, Huasong / Liu, Jike / Lu, Zhong-Rong / Wang, Li: Heterogeneous Time Integration Algorithm for Structural Dynamics with Localized Hysteretic Nonlinearities. Dans: International Journal of Structural Stability and Dynamics.

    https://doi.org/10.1142/s0219455426500410

  2. Liu, Guang / Liu, Ji-ke / Lu, Zhong-Rong (2023): High-precision semi-analytical solution for the quasi-periodic nanobeam system based on the weight time-domain minimum residual method. Dans: Composite Structures, v. 323 (novembre 2023).

    https://doi.org/10.1016/j.compstruct.2023.117457

  3. Yin, Zhiyi / Lu, Zhong-Rong / Liu, Jike / Wang, Li (2022): Quantifying uncertainty for structural damage identification in the presence of model errors from a deterministic sensitivity-based regime. Dans: Engineering Structures, v. 267 (septembre 2022).

    https://doi.org/10.1016/j.engstruct.2022.114685

  4. Lin, Guanfu / Wang, Li / Lu, Zhong-Rong (2022): Output-only modal analysis of the Humen Bridge from video measurement. Dans: Journal of Physics: Conference Series, v. 2184, n. 1 (1 mars 2022).

    https://doi.org/10.1088/1742-6596/2184/1/012043

  5. Tan, Yingxuan / Chen, Yanmao / Lu, Zhong-Rong / Wang, Li (2022): Model-calibration-free damage identification of shear structures by measurement changes correction and sparse regularization. Dans: Structures, v. 37 (mars 2022).

    https://doi.org/10.1016/j.istruc.2022.01.010

  6. Lu, Zhong-Rong / Yin, Zhiyi / Zhou, Junxian / Liu, Jike / Wang, Li (2021): A simple and effective Measurement-Changes-Correction strategy for damage identification with aleatoric and epistemic model errors. Dans: Structural Health Monitoring, v. 20, n. 3 (janvier 2021).

    https://doi.org/10.1177/1475921720948207

  7. Lu, Zhong-Rong / Zhou, Junxian / Wang, Li / Liu, Jike (2019): Damage identification from static tests by eigenparameter decomposition and sparse regularization. Dans: Structural Health Monitoring, v. 19, n. 5 (octobre 2019).

    https://doi.org/10.1177/1475921719880980

  8. Yang, Dahao / Lu, Zhong-Rong / Wang, Li (2020): Detection of Structural Damage in Rotating Beams using Modal Sensitivity Analysis and Sparse Regularization. Dans: International Journal of Structural Stability and Dynamics, v. 20, n. 8 (juillet 2020).

    https://doi.org/10.1142/s0219455420500868

  9. Wang, Li / Zhou, Junxian / Lu, Zhong-Rong (2020): A fast friction-model-inspired sparse regularization approach for damage identification with modal data. Dans: Computers & Structures, v. 227 (janvier 2020).

    https://doi.org/10.1016/j.compstruc.2019.106142

  10. Ding, Zhenghao / Li, Jun / Hao, Hong / Lu, Zhong-Rong (2019): Structural damage identification with uncertain modelling error and measurement noise by clustering based tree seeds algorithm. Dans: Engineering Structures, v. 185 (avril 2019).

    https://doi.org/10.1016/j.engstruct.2019.01.118

  11. Zhang, Wei / Zhang, Liang-Liang / Li, Qi / Lu, Zhong-Rong (2012): Vibration Analysis of a Coupled Beam System Carrying Any Number of Sprung Masses. Dans: Advances in Structural Engineering, v. 15, n. 2 (février 2012).

    https://doi.org/10.1260/1369-4332.15.2.217

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