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Saeed Eftekhar Azam ORCID

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

  1. Shandiz, Shahrooz Khalkhali / Khezrzadeh, Hamed / Eftekhar Azam, Saeed (2024): Introduction and application of a drive-by damage detection methodology for bridges using variational mode decomposition. In: Frattura ed Integrità Strutturale, v. 18, n. 70 (15 August 2024).

    https://doi.org/10.3221/igf-esis.70.02

  2. Akintunde, Emmanuel / Eftekhar Azam, Saeed / Linzell, Daniel G. (2023): Probabilistic bridge fatigue evaluation at virtual sensing locations using kernel density estimation. In: International Journal of Fatigue, v. 176 (November 2023).

    https://doi.org/10.1016/j.ijfatigue.2023.107885

  3. Rosafalco, Luca / Eftekhar Azam, Saeed / Mariani, Stefano / Corigliano, Alberto (2024): System Identification via Unscented Kalman Filtering and Model Class Selection. In: ASCE-ASME Journal of Risk and Uncertainty in Engineering Systems, Part A: Civil Engineering, v. 10, n. 1 (März 2024).

    https://doi.org/10.1061/ajrua6.rueng-1085

  4. Masanes Didyk, Martin / Ebrahimzadeh Hassanabadi, Mohsen / Makki Alamdari, Mehrisadat / Eftekhar Azam, Saeed (2024): Minimum variance unbiased Bayesian smoothing for input and state estimation of systems without direct Feedthrough: Mitigating Ill-Posedness of online load identification. In: Engineering Structures, v. 298 (Januar 2024).

    https://doi.org/10.1016/j.engstruct.2023.117023

  5. Akintunde, Emmanuel / Eftekhar Azam, Saeed / Linzell, Daniel G. (2023): Singular value decomposition and unsupervised machine learning for virtual strain sensing: Application to an operational railway bridge. In: Structures, v. 58 (Dezember 2023).

    https://doi.org/10.1016/j.istruc.2023.105417

  6. Ardani, Samira / Akintunde, Emmanuel / Linzell, Daniel / Eftekhar Azam, Saeed / Alomari, Qusai (2023): Evaluating pod-based unsupervised damage identification using controlled damage propagation of out-of-service bridges. In: Engineering Structures, v. 286 (Juli 2023).

    https://doi.org/10.1016/j.engstruct.2023.116096

  7. Ebrahimzadeh Hassanabadi, Mohsen / Liu, Zihao / Eftekhar Azam, Saeed / Dias‐da‐Costa, Daniel (2023): A linear Bayesian filter for input and state estimation of structural systems. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 13 (Mai 2023).

    https://doi.org/10.1111/mice.12973

  8. Moradi, Sarvin / Duran, Burak / Eftekhar Azam, Saeed / Mofid, Massood (2023): Novel Physics-Informed Artificial Neural Network Architectures for System and Input Identification of Structural Dynamics PDEs. In: Buildings, v. 13, n. 3 (26 Februar 2023).

    https://doi.org/10.3390/buildings13030650

  9. Rageh, Ahmed / Eftekhar Azam, Saeed / Linzell, Daniel G. (2020): Steel railway bridge fatigue damage detection using numerical models and machine learning: Mitigating influence of modeling uncertainty. In: International Journal of Fatigue, v. 134 (Mai 2020).

    https://doi.org/10.1016/j.ijfatigue.2019.105458

  10. Akintunde, Emmanuel / Eftekhar Azam, Saeed / Rageh, Ahmed / Linzell, Daniel G. (2021): Unsupervised Machine Learning for Robust Bridge Damage Detection: Full-Scale Experimental Validation. In: Engineering Structures, v. 249 (Dezember 2021).

    https://doi.org/10.1016/j.engstruct.2021.113250

  11. Ebrahimzadeh Hassanabadi, Mohsen / Heidarpour, Amin / Eftekhar Azam, Saeed / Arashpour, Mehrdad (2022): A Bayesian smoothing for input‐state estimation of structural systems. In: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 3 (2 Februar 2022).

    https://doi.org/10.1111/mice.12733

  12. Mashayekhi, Maryam / Santini-Bell, Erin / Eftekhar Azam, Saeed (2021): Fatigue crack detection in welded structural components of steel bridges using artificial neural network. In: Journal of Civil Structural Health Monitoring, v. 11, n. 4 (Juni 2021).

    https://doi.org/10.1007/s13349-021-00488-7

  13. Moradi, Sarvin / Eftekhar Azam, Saeed / Mofid, Massood (2021): On Bayesian active vibration control of structures subjected to moving inertial loads. In: Engineering Structures, v. 239 (Juli 2021).

    https://doi.org/10.1016/j.engstruct.2021.112313

  14. Abbiati, Giuseppe / Lanese, Igor / Eftekhar Azam, Saeed / Bursi, Oreste S. / Pavese, Alberto (2020): A framework for hybrid simulation with online model updating suitable for hard real‐time computing. In: Structural Control and Health Monitoring, v. 28, n. 1 (Oktober 2020).

    https://doi.org/10.1002/stc.2652

  15. Eftekhar Azam, Saeed / Rageh, Ahmed / Linzell, Daniel (2019): Damage detection in structural systems utilizing artificial neural networks and proper orthogonal decomposition. In: Structural Control and Health Monitoring, v. 26, n. 2 (Januar 2019).

    https://doi.org/10.1002/stc.2288

  16. Eftekhar Azam, Saeed / Ghisi, Aldo / Mariani, Stefano (2013): Parallelized sigma-point Kalman filtering for structural dynamics. In: Computers & Structures, v. 114 (Januar 2013).

    https://doi.org/10.1016/j.compstruc.2011.11.004

  17. Eftekhar Azam, Saeed / Mariani, Stefano (2013): Investigation of computational and accuracy issues in POD-based reduced order modeling of dynamic structural systems. In: Engineering Structures, v. 54 (September 2013).

    https://doi.org/10.1016/j.engstruct.2013.04.004

  18. Eftekhar Azam, Saeed / Mariani, Stefano (2018): Online damage detection in structural systems via dynamic inverse analysis: A recursive Bayesian approach. In: Engineering Structures, v. 159 (März 2018).

    https://doi.org/10.1016/j.engstruct.2017.12.031

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