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Siddharth S. Parida ORCID

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

  1. Parida, Siddharth S. / Bose, Supratik / Apostolakis, Georgios (2023): Earthquake data augmentation using wavelet transform for training deep learning based surrogate models of nonlinear structures. In: Structures, v. 55 (September 2023).

    https://doi.org/10.1016/j.istruc.2023.05.122

  2. Snaiki, Reda / Parida, Siddharth S. (2023): A data-driven physics-informed stochastic framework for hurricane-induced risk estimation of transmission tower-line systems under a changing climate. In: Engineering Structures, v. 280 (April 2023).

    https://doi.org/10.1016/j.engstruct.2023.115673

  3. Parida, Siddharth S. / Bose, Supratik / Butcher, Megan / Apostolakis, Georgios / Shekhar, Prashant (2023): SVD enabled data augmentation for machine learning based surrogate modeling of non-linear structures. In: Engineering Structures, v. 280 (April 2023).

    https://doi.org/10.1016/j.engstruct.2023.115600

  4. Snaiki, Reda / Parida, Siddharth S. (2023): Climate change effects on loss assessment and mitigation of residential buildings due to hurricane wind. In: Journal of Building Engineering, v. 69 (Juni 2023).

    https://doi.org/10.1016/j.jobe.2023.106256

  5. Parida, Siddharth S. / Nikellis, Alexandros / Sett, Kallol / Singla, Puneet (2020): Model‐data fusion for seismic performance evaluation of an instrumented highway bridge. In: Earthquake Engineering and Structural Dynamics, v. 49, n. 14 (November 2020).

    https://doi.org/10.1002/eqe.3317

  6. Parida, Siddharth S. / Sett, Kallol / Singla, Puneet (2019): Model-data fusion for spatial and statistical characterization of soil parameters from geophysical measurements. In: Soil Dynamics and Earthquake Engineering, v. 124 (September 2019).

    https://doi.org/10.1016/j.soildyn.2019.05.010

  7. Parida, Siddharth S. / Sett, Kallol / Singla, Puneet (2018): An efficient PDE-constrained stochastic inverse algorithm for probabilistic geotechnical site characterization using geophysical measurements. In: Soil Dynamics and Earthquake Engineering, v. 109 (Juni 2018).

    https://doi.org/10.1016/j.soildyn.2018.01.030

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