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Shashikant Kumar

The following bibliography contains all publications indexed in this database that are linked with this name as either author, editor or any other kind of contributor.

  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 (October 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 January 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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