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Sourav Das ORCID

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

  1. Sapkota, Sanjog Chhetri / Das, Sourav / Saha, Prasenjit (2024): Optimized machine learning models for prediction of effective stiffness of rectangular reinforced concrete column sections. In: Structures, v. 62 (April 2024).

    https://doi.org/10.1016/j.istruc.2024.106155

  2. Sapkota, Sanjog Chhetri / Saha, Prasenjit / Das, Sourav / Meesaraganda, L. V. Prasad (2023): Prediction of the compressive strength of normal concrete using ensemble machine learning approach. In: Asian Journal of Civil Engineering, v. 25, n. 1 (Juli 2023).

    https://doi.org/10.1007/s42107-023-00796-x

  3. Das, Sourav / Tesfamariam, Solomon (2023): Reliability analysis of structures using probability density evolution method and stochastic spectral embedding surrogate model. In: Earthquake Engineering and Structural Dynamics, v. 52, n. 8 (März 2023).

    https://doi.org/10.1002/eqe.3835

  4. Das, Sourav / Tesfamariam, Solomon (2023): Wavelet-Neural Network Based Robust Optimization of Self-Centering Viscous Damper for Steel MR Frame. In: Journal of Earthquake Engineering, v. 28, n. 1 (April 2023).

    https://doi.org/10.1080/13632469.2023.2183064

  5. Das, Sourav / Tesfamariam, Solomon (2023): Reliability Analysis of Stochastic System using Stochastic Spectral Embedding based Probability Density Evolution Method. In: Procedia Structural Integrity, v. 44 ( 2023).

    https://doi.org/10.1016/j.prostr.2023.01.215

  6. Das, Sourav / Tesfamariam, Solomon (2022): Multiobjective design optimization of multi-outrigger tall-timber building: Using SMA-based damper and Lagrangian model. In: Journal of Building Engineering, v. 51 (Juli 2022).

    https://doi.org/10.1016/j.jobe.2022.104358

  7. Das, Sourav / Chakraborty, Arunasis / Das, Sandip (2022): Reliability Based Optimal Tuning of Magneto-Rheological Elastomer for Efficient Structural Control against Non-Stationary Ground Motion. In: Journal of Earthquake Engineering, v. 26, n. 16 (Januar 2022).

    https://doi.org/10.1080/13632469.2021.1990808

  8. Das, Sourav / Chakraborty, Arunasis (2021): Robust design of MR elastomer for optimal isolation against non-stationary ground motion. In: Structures, v. 34 (Dezember 2021).

    https://doi.org/10.1016/j.istruc.2021.10.020

  9. Das, Sourav / Mohamed Sajeer, M. / Chakraborty, Arunasis / Sarkar, Saptarshi (2021): Shape memory alloy‐based centrifugal stiffening for response reduction of horizontal axis wind turbine blade. In: Structural Control and Health Monitoring, v. 28, n. 3 (5 Februar 2021).

    https://doi.org/10.1002/stc.2669

  10. Das, Sourav / Chakraborty, Arunasis / Barua, Ipshita (2020): Optimal tuning of SMA inerter for simultaneous wind induced vibration control of high-rise building and energy harvesting. In: Smart Materials and Structures, v. 30, n. 2 (Dezember 2020).

    https://doi.org/10.1088/1361-665x/abd42a

  11. Das, Sourav / Chakraborty, Souvik / Chen, Yangyang / Tesfamariam, Solomon (2021): Robust design optimization for SMA based nonlinear energy sink with negative stiffness and friction. In: Soil Dynamics and Earthquake Engineering, v. 140 (Januar 2021).

    https://doi.org/10.1016/j.soildyn.2020.106466

  12. Das, Sourav / Tesfamariam, Solomon (2020): Optimization of SMA based damped outrigger structure under uncertainty. In: Engineering Structures, v. 222 (November 2020).

    https://doi.org/10.1016/j.engstruct.2020.111074

  13. Das, Sourav / Choudhury, Satyabrata (2019): Influence of effective stiffness on the performance of RC frame buildings designed using displacement-based method and evaluation of column effective stiffness using ANN. In: Engineering Structures, v. 197 (Oktober 2019).

    https://doi.org/10.1016/j.engstruct.2019.109354

  14. Das, Sourav / Sajeer, Mohamed / Chakraborty, Arunasis (2019): Vibration control of horizontal axis offshore wind turbine blade using SMA stiffener. In: Smart Materials and Structures, v. 28, n. 9 (September 2019).

    https://doi.org/10.1088/1361-665x/ab1174

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