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S. T. G. Raghukanth ORCID

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

  1. Sriwastav, Ravi Kanth / Yedulla, Jyothi / Raghukanth, S. T. G. (2024): A non-parametric model of ground motion parameters for shallow crustal earthquakes in Europe. In: Soil Dynamics and Earthquake Engineering, v. 186 (November 2024).

    https://doi.org/10.1016/j.soildyn.2024.108923

  2. Basu, Jahnabi / Raghukanth, S. T. G. (2024): A prolegomenon to Design Input Energy Spectra for the Himalayan region. In: Soil Dynamics and Earthquake Engineering, v. 181 (Juni 2024).

    https://doi.org/10.1016/j.soildyn.2024.108681

  3. Sreenath, Vemula / Basu, Jahnabi / Raghukanth, S. T. G. (2023): Ground motion models for regions with limited data: Data‐driven approach. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 3 (Dezember 2023).

    https://doi.org/10.1002/eqe.4075

  4. Meenakshi, Yellapragada / Sreenath, Vemula / Raghukanth, S. T. G. (2023): Ground motion models for Fourier amplitude spectra and response spectra using Machine learning techniques. In: Earthquake Engineering and Structural Dynamics, v. 53, n. 2 (November 2023).

    https://doi.org/10.1002/eqe.4036

  5. Meenakshi, Yellapragada / Podili, Bhargavi / Raghukanth, S. T. G. (2024): Design energy spectra for Peninsular India: A preliminary step towards energy-based design in India. In: Soil Dynamics and Earthquake Engineering, v. 177 (Februar 2024).

    https://doi.org/10.1016/j.soildyn.2023.108358

  6. Sreenath, Vemula / Podili, Bhargavi / Raghukanth, S. T. G. (2023): A hybrid non‐parametric ground motion model for shallow crustal earthquakes in Europe. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 8 (März 2023).

    https://doi.org/10.1002/eqe.3845

  7. Podili, Bhargavi / Raghukanth, S. T. G. (2023): Alternative regional ground motion models for Western Himalayas. In: Soil Dynamics and Earthquake Engineering, v. 168 (Mai 2023).

    https://doi.org/10.1016/j.soildyn.2023.107805

  8. Vemula, Sreenath / Kp, Sreejaya / Raghukanth, S. T. G. (2022): Neural Network-Based Subduction Ground Motion Model and Its Application to New Zealand and the Andaman and Nicobar Islands. In: Journal of Earthquake Engineering, v. 27, n. 10 (September 2022).

    https://doi.org/10.1080/13632469.2022.2121333

  9. Sreenath, Vemula / Raghukanth, S. T. G. (2023): Stochastic ground motion models to NGA‐West2 and NGA‐Sub databases using Bayesian neural network. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 1 (Februar 2023).

    https://doi.org/10.1002/eqe.3759

  10. Sreejaya, K. P. / Raghukanth, S. T. G. / Gupta, I. D. / Murty, C. V. R. / Srinagesh, D. (2022): Seismic hazard map of India and neighbouring regions. In: Soil Dynamics and Earthquake Engineering, v. 163 (Dezember 2022).

    https://doi.org/10.1016/j.soildyn.2022.107505

  11. Sreejaya, K. P. / Podili, Bhargavi / Raghukanth, S. T. G. (2022): Hazard consistent vertical design spectra for active regions of India. In: Soil Dynamics and Earthquake Engineering, v. 161 (Oktober 2022).

    https://doi.org/10.1016/j.soildyn.2022.107395

  12. Sangeetha, S. / Raghukanth, S. T. G. (2022): Broadband ground motion simulations for Northeast India. In: Soil Dynamics and Earthquake Engineering, v. 154 (März 2022).

    https://doi.org/10.1016/j.soildyn.2021.107120

  13. Vemula, Sreenath / Yellapragada, Meenakshi / Podili, Bhargavi / Raghukanth, S. T. G. / Ponnalagu, Alagappan (2021): Ground motion intensity measures for New Zealand. In: Soil Dynamics and Earthquake Engineering, v. 150 (November 2021).

    https://doi.org/10.1016/j.soildyn.2021.106928

  14. Jayalakshmi, S. / Dhanya, J. / Raghukanth, S. T. G. / Mai, P. M. (2021): Hybrid broadband ground motion simulations in the Indo-Gangetic basin for great Himalayan earthquake scenarios. In: Bulletin of Earthquake Engineering, v. 19, n. 9 (Mai 2021).

    https://doi.org/10.1007/s10518-021-01094-0

  15. Lekshmy, P. R. / Raghukanth, S. T. G. (2021): A hybrid genetic algorithm-neural network model for power spectral density compatible ground motion prediction. In: Soil Dynamics and Earthquake Engineering, v. 142 (März 2021).

    https://doi.org/10.1016/j.soildyn.2020.106528

  16. Dhanya, J. / Raghukanth, S. T. G. (2021): Probabilistic Fling Hazard Map of India and Adjoined Regions. In: Journal of Earthquake Engineering, v. 26, n. 9 (Mai 2021).

    https://doi.org/10.1080/13632469.2020.1838969

  17. Dhanya, J. / Muthuganeisan, Prabhu / Raghukanth, S. T. G.: Probabilistic Fling Hazard Map for Himalayan Region. Vorgetragen bei: 5th International Conference on Civil Engineering and Urban Planning (CEUP2016), Xi'an, China, 23 – 26 August 2016.

    https://doi.org/10.1142/9789813225237_0053

  18. Dhanya, J. / Raghukanth, S. T. G. (2020): Non-linear Principal Component Analysis of Response Spectra. In: Journal of Earthquake Engineering, v. 26, n. 4 (August 2020).

    https://doi.org/10.1080/13632469.2020.1773352

  19. Jayalakshmi, S. / Dhanya, J. / Raghukanth, S. T. G. / Martin Mai, P. (2020): 3D seismic wave amplification in the Indo-Gangetic basin from spectral element simulations. In: Soil Dynamics and Earthquake Engineering, v. 129 (Februar 2020).

    https://doi.org/10.1016/j.soildyn.2019.105923

  20. Bhargavi, Podili / Raghukanth, S. T. G. (2019): Rating damage potential of ground motion records. In: Earthquake Engineering and Engineering Vibration, v. 18, n. 2 (April 2019).

    https://doi.org/10.1007/s11803-019-0501-1

  21. Lekshmy, P. R. / Raghukanth, S. T. G. (2019): Stochastic earthquake source model for ground motion simulation. In: Earthquake Engineering and Engineering Vibration, v. 18, n. 1 (Januar 2019).

    https://doi.org/10.1007/s11803-019-0487-8

  22. Gade, Maheshreddy / Raghukanth, S. T. G. (2018): Spatial variation of ground rotational motions in elastic half-space. In: Soil Dynamics and Earthquake Engineering, v. 107 (April 2018).

    https://doi.org/10.1016/j.soildyn.2018.01.007

  23. Podili, Bhargavi / Raghukanth, S. T. G. (2019): Ground motion prediction equations for higher order parameters. In: Soil Dynamics and Earthquake Engineering, v. 118 (März 2019).

    https://doi.org/10.1016/j.soildyn.2018.11.027

  24. Podili, Bhargavi / Raghukanth, S. T. G. (2019): Ground Motion Parameters for the 2011 Great Japan Tohoku Earthquake. In: Journal of Earthquake Engineering, v. 23, n. 4 ( 2019).

    https://doi.org/10.1080/13632469.2017.1342292

  25. Bagchi, Saikat / Raghukanth, S. T. G. (2019): Seismic Response of the Central Part of Indo-Gangetic Plain. In: Journal of Earthquake Engineering, v. 23, n. 2 ( 2019).

    https://doi.org/10.1080/13632469.2017.1323044

  26. Sangeetha, S. / Dhanya, J. / Raghukanth, S. T. G. (2018): 3D Crustal Velocity Model for Ground Motion Simulations in North-East India. In: Journal of Earthquake Engineering, v. 25, n. 3 (Oktober 2018).

    https://doi.org/10.1080/13632469.2018.1520760

  27. Lekshmy, P. R. / Raghukanth, S. T. G. (2015): Maximum Possible Ground Motion for Linear Structures. In: Journal of Earthquake Engineering, v. 19, n. 6 ( 2015).

    https://doi.org/10.1080/13632469.2015.1023472

  28. Raghukanth, S. T. G. / Bhanu Teja, B. (2012): Ground Motion Simulation for January 26, 2001 Gujarat Earthquake by Spectral Finite Element Method. In: Journal of Earthquake Engineering, v. 16, n. 2 ( 2012).

    https://doi.org/10.1080/13632469.2011.634493

  29. Gade, Maheshreddy / Raghukanth, S. T. G. (2017): Simulation of strong ground motion for a MW 8.5 hypothetical earthquake in central seismic gap region, Himalaya. In: Bulletin of Earthquake Engineering, v. 15, n. 10 (März 2017).

    https://doi.org/10.1007/s10518-017-0146-2

  30. Raghukanth, S. T. G. (2011): Seismicity parameters for important urban agglomerations in India. In: Bulletin of Earthquake Engineering, v. 9, n. 5 (April 2011).

    https://doi.org/10.1007/s10518-011-9265-3

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