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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. Lei, Jun / Xu, Dong / Turmo, José (2018): Inverse analysis using compatible displacements. Presented at: Ninth International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018, 9-13 July 2018, Melbourne, Australia.

    https://doi.org/10.1201/9781315189390-217

  2. Lei, Jun / Nogal, Maria / Lozano-Galant, Jose Antonio / Xu, Dong / Turmo, José (2018): A two-stage static structural system identification by observability method. Presented at: Ninth International Conference on Bridge Maintenance, Safety and Management, IABMAS 2018, 9-13 July 2018, Melbourne, Australia.

    https://doi.org/10.1201/9781315189390-393

  3. Liu, Zhiliang / Li, Liang / Yu, Guangming / Hu, Jun / Lin, Houlai / Li, Chunli / Lu, Shibao / Meng, Kaiqi / Lei, Jun (2022): Identification of Primary Failure Modes of Tunnel System and Influence of Supporting Structures on Tunnel System Reliability using Multiple Response Surfaces. In: KSCE Journal of Civil Engineering, v. 27, n. 2 (November 2022).

    https://doi.org/10.1007/s12205-022-1924-1

  4. Lei, Jun / Xu, Dong / Turmo, José (2018): Compatible Deformation in the Condition Assessment of Beam Structures. Presented at: IABSE Symposium: Tomorrow’s Megastructures, Nantes, France, 19-21 September 2018.

    https://doi.org/10.2749/nantes.2018.s24-79

  5. Lei, Jun / Lozano‐Galant, Jose Antonio / Xu, Dong / Turmo, José (2019): Structural system identification by measurement error‐minimizing observability method. In: Structural Control and Health Monitoring, v. 26, n. 10 (13 September 2019).

    https://doi.org/10.1002/stc.2425

  6. Lei, Jun / Xu, Dong / Lozano-Galant, Jose Antonio / Nogal, Maria / Turmo, José (2017): Error analysis of structural system identification by observability method. Presented at: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017.

    https://doi.org/10.2749/222137817822208843

  7. Xu, Dong / Lei, Jun / Turmo, José (2017): Simulating composite bridges with corrugated steel webs using spatial grid model. Presented at: IABSE Symposium: Engineering the Future, Vancouver, Canada, 21-23 September 2017.

    https://doi.org/10.2749/vancouver.2017.0230

  8. Lei, Jun / Nogal, Maria / Lozano-Galant, Jose Antonio / Xu, Dong / Turmo, José (2018): Constrained observability method in static structural system identification. In: Structural Control and Health Monitoring, v. 25, n. 1 (January 2018).

    https://doi.org/10.1002/stc.2040

  9. Lei, Jun / Xu, Dong / Turmo, José (2018): Static structural system identification for beam-like structures using compatibility conditions. In: Structural Control and Health Monitoring, v. 25, n. 1 (January 2018).

    https://doi.org/10.1002/stc.2062

  10. Lei, Jun / Lozano-Galant, Jose Antonio / Nogal, Maria / Xu, Dong / Turmo, José (2017): Analysis of measurement and simulation errors in structural system identification by observability techniques. In: Structural Control and Health Monitoring, v. 24, n. 6 (June 2017).

    https://doi.org/10.1002/stc.1923

  11. Xu, Dong / Lei, Jun / Zhao, Yu (2016): Prestressing Optimization and Local Reinforcement Design for a Mixed Externally and Internally Prestressed Precast Segmental Bridge. In: Journal of Bridge Engineering (ASCE), v. 21, n. 7 (July 2016).

    https://doi.org/10.1061/(asce)be.1943-5592.0000904

  12. Lei, Jun / Lozano-Galant, Jose A. / Nogal, Maria / Xu, Dong / Turmo, José (2017): Structural System Identification of Pedestrian Bridges by Observability Method. Presented at: Footbridge 2017 Berlin - Tell A Story, 6-8.9.2017, Technische Universität Berlin (TU Berlin).

    https://doi.org/10.24904/footbridge2017.09386

  13. Lozano Galant, Jose Antonio / Nogal, Maria / Lei, Jun / Xu, Dong / Turmo, José (2016): A numerical approach for Structural System Identification by Observability Techniques. Presented at: IABSE Congress: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Stockholm, Sweden, 21-23 September 2016.

    https://doi.org/10.2749/stockholm.2016.0025

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