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Shashikant Kumar

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

  1. Kumar, Shashikant / Kumar, Rakesh / Rai, Baboo / Samui, Pijush (2024): Prediction of compressive strength of high-volume fly ash self-compacting concrete with silica fume using machine learning techniques. In: Construction and Building Materials, v. 438 (August 2024).

    https://doi.org/10.1016/j.conbuildmat.2024.136933

  2. Kumar, Shashikant / Kumar, Divesh Ranjan / Wipulanusat, Warit / Keawsawasvong, Suraparb (2024): Development of ANN-based metaheuristic models for the study of the durability characteristics of high-volume fly ash self-compacting concrete with silica fume. In: Journal of Building Engineering, v. 94 (Oktober 2024).

    https://doi.org/10.1016/j.jobe.2024.109844

  3. Yadav, Harendra / Kumar, Shashikant / Rai, Baboo (2023): Durability and fire resistance of high-performance fiber reinforced concrete with fly ash. In: Journal of Structural Integrity and Maintenance, v. 9, n. 1 (September 2023).

    https://doi.org/10.1080/24705314.2023.2262249

  4. Biswas, Rahul / Li, Enming / Zhang, Ning / Kumar, Shashikant / Rai, Baboo / Zhou, Jian (2022): Development of hybrid models using metaheuristic optimization techniques to predict the carbonation depth of fly ash concrete. In: Construction and Building Materials, v. 346 (September 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128483

  5. Kumar, Shashikant / Rai, Baboo (2022): Synergetic effect of fly ash and silica fume on the performance of high volume fly ash self-compacting concrete. In: Journal of Structural Integrity and Maintenance, v. 7, n. 1 (2 Januar 2022).

    https://doi.org/10.1080/24705314.2021.1892571

  6. Kumar, Shashikant / Rai, Baboo / Biswas, Rahul / Samui, Pijush / Kim, Dookie (2020): Prediction of rapid chloride permeability of self-compacting concrete using Multivariate Adaptive Regression Spline and Minimax Probability Machine Regression. In: Journal of Building Engineering, v. 32 (November 2020).

    https://doi.org/10.1016/j.jobe.2020.101490

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