0
  • DE
  • EN
  • FR
  • Internationale Datenbank und Galerie für Ingenieurbauwerke

Anzeige

Die folgende Bibliografie enthält alle in dieser Datenbank indizierten Veröffentlichungen, die mit diesem Namen als Autor, Herausgeber oder anderweitig Beitragenden verbunden sind.

  1. Hughes, William / Santos, Leana / Lu, Qin / Malla, Ramesh / Ravishanker, Nalini / Zhang, Wei: Probabilistic risk assessment framework for predicting large woody debris accumulations and scour near bridges. In: Structure and Infrastructure Engineering.

    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 (März 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 (Juni 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 (März 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. Vorgetragen bei: 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 (Dezember 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 (Juli 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. Vorgetragen bei: IABSE Conference: Bridges and Structures Sustainability - Seeking Intelligent Solutions, Guangzhou, China, 8-11 May 2016.

    https://doi.org/10.2749/222137816819258410

Eine Veröffentlichung suchen...

Nur verfügbar mit
Mein Structurae

Volltext
Structurae kooperiert mit
International Association for Bridge and Structural Engineering (IABSE)
e-mosty Magazine
e-BrIM Magazine