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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. Hughes, William / Santos, Leana / Lu, Qin / Malla, Ramesh / Ravishanker, Nalini / Zhang, Wei (2023): Probabilistic risk assessment framework for predicting large woody debris accumulations and scour near bridges. In: Structure and Infrastructure Engineering, v. 20, n. 12 (October 2023).

    https://doi.org/10.1080/15732479.2023.2177875

  2. Hughes, William / Lu, Qin / Ding, Zhixia / Zhang, Wei (2023): Modeling Tree Damages and Infrastructure Disruptions under Strong Winds for Community Resilience Assessment. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 9, n. 1 (March 2023).

    https://doi.org/10.1061/ajrua6.rueng-956

  3. Lu, Qin / Zhang, Wei / Hughes, William / Bagtzoglou, Amvrossios C. (2022): Bayesian Decision Network–Based Optimal Selection of Hardening Strategies for Power Distribution Systems. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 8, n. 3 (September 2022).

    https://doi.org/10.1061/ajrua6.0001253

  4. Lu, Qin / Zhang, Wei (2023): An integrated damage modeling and assessment framework for overhead power distribution systems considering tree-failure risks. In: Structure and Infrastructure Engineering, v. 19, n. 12 (April 2023).

    https://doi.org/10.1080/15732479.2022.2053552

  5. Zhang, Jintao / Zhang, Wei / Lu, Qin / Zhu, Jin / Bagtzoglou, Amvrossios C. (2022): A Fragility-Weighted Topological Network for Resilient Assessment of Overhead Power Distribution System Subjected to Hurricane Winds. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 8, n. 2 (June 2022).

    https://doi.org/10.1061/ajrua6.0001232

  6. Lu, Qin / Zhang, Wei / Bagtzoglou, Amvrossios C. (2022): Physics-Based Reliability Assessment of Community-Based Power Distribution System Using Synthetic Hurricanes. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 8, n. 1 (March 2022).

    https://doi.org/10.1061/ajrua6.0001205

  7. Lu, Qin / Zhu, Jin / Zhang, Wei (2019): Quantification of Fatigue Damage of Structural Details in Slender Coastal Bridges Using Machine Learning Based Methods. Presented at: Structures Congress 2019, Orlando, Florida, 24-27 April 2019.

    https://doi.org/10.1061/9780784482230.013

  8. Lu, Qin / Sun, Zhi / Zhang, Wei (2020): Nonlinear parametric vibration with different orders of small parameters for stayed cables. In: Engineering Structures, v. 224 (December 2020).

    https://doi.org/10.1016/j.engstruct.2020.111198

  9. Lu, Qin / Zhu, Jin / Zhang, Wei (2020): Quantification of Fatigue Damage for Structural Details in Slender Coastal Bridges Using Machine Learning-Based Methods. In: Journal of Bridge Engineering (ASCE), v. 25, n. 7 (July 2020).

    https://doi.org/10.1061/(asce)be.1943-5592.0001571

  10. Lu, Qin / Sun, Zhi (2016): Nonlinear Parametric Vibration Characteristics of Stay Cable Due to Strong Bridge Deck Vibration. Presented at: IABSE Conference: Bridges and Structures Sustainability - Seeking Intelligent Solutions, Guangzhou, China, 8-11 May 2016.

    https://doi.org/10.2749/222137816819258410

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