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Publicité

Suraj Kumar Parhi

La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Dwibedy, Saswat / Kumar Parhi, Suraj / Panda, Soumyaranjan / Kumar Panigrahi, Saubhagya: Performance of precursor characteristics in the realization of geopolymer concrete: a review. Dans: Magazine of Concrete Research.

    https://doi.org/10.1680/jmacr.24.00120

  2. Kumar Parhi, Suraj / Dwibedy, Saswat / Kumar Panigrahi, Saubhagya (2024): AI-driven critical parameter optimization of sustainable self-compacting geopolymer concrete. Dans: Journal of Building Engineering, v. 86 (juin 2024).

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

  3. Kumar Dash, Pankaj / Kumar Parhi, Suraj / Patro, Sanjaya Kumar / Panigrahi, Ramakanta (2023): Efficient machine learning algorithm with enhanced cat swarm optimization for prediction of compressive strength of GGBS-based geopolymer concrete at elevated temperature. Dans: Construction and Building Materials, v. 400 (octobre 2023).

    https://doi.org/10.1016/j.conbuildmat.2023.132814

  4. Kumar Parhi, Suraj / Patro, Sanjaya Kumar (2023): Prediction of compressive strength of geopolymer concrete using a hybrid ensemble of grey wolf optimized machine learning estimators. Dans: Journal of Building Engineering, v. 71 (juillet 2023).

    https://doi.org/10.1016/j.jobe.2023.106521

  5. Kumar Parhi, Suraj / Patro, Sanjaya Kumar (2024): Application of R-curve, ANCOVA, and RSM techniques on fracture toughness enhancement in PET fiber-reinforced concrete. Dans: Construction and Building Materials, v. 411 (janvier 2024).

    https://doi.org/10.1016/j.conbuildmat.2023.134644

  6. Pradhan, Jharana / Panda, Soumyaranjan / Kumar Parhi, Suraj / Pradhan, Priyanka / Kumar Panigrahi, Saubhagya (2024): GGBFS-Based Self-Compacting Geopolymer Concrete with Optimized Mix Parameters Established on Fresh, Mechanical, and Durability Characteristics. Dans: Journal of Materials in Civil Engineering (ASCE), v. 36, n. 2 (février 2024).

    https://doi.org/10.1061/jmcee7.mteng-16669

  7. Kumar Parhi, Suraj / Patro, Sanjaya Kumar (2023): Compressive strength prediction of PET fiber-reinforced concrete using Dolphin echolocation optimized decision tree-based machine learning algorithms. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023).

    https://doi.org/10.1007/s42107-023-00826-8

  8. Kumar Parhi, Suraj / Kumar Panigrahi, Saubhagya (2023): Alkali–silica reaction expansion prediction in concrete using hybrid metaheuristic optimized machine learning algorithms. Dans: Asian Journal of Civil Engineering, v. 25, n. 1 (juillet 2023).

    https://doi.org/10.1007/s42107-023-00799-8

  9. Kumar Parhi, Suraj / Dwibedy, Saswat / Panda, Soumyaranjan / Kumar Panigrahi, Saubhagya (2023): A comprehensive study on Controlled Low Strength Material. Dans: Journal of Building Engineering, v. 76 (octobre 2023).

    https://doi.org/10.1016/j.jobe.2023.107086

  10. Singh, Sourav / Patro, Sanjaya Kumar / Kumar Parhi, Suraj (2023): Evolutionary optimization of machine learning algorithm hyperparameters for strength prediction of high-performance concrete. Dans: Asian Journal of Civil Engineering, v. 24, n. 8 (juin 2023).

    https://doi.org/10.1007/s42107-023-00698-y

  11. Pradhan, Priyanka / Panda, Soumyaranjan / Kumar Parhi, Suraj / Kumar Panigrahi, Saubhagya (2022): Factors affecting production and properties of self-compacting geopolymer concrete – A review. Dans: Construction and Building Materials, v. 344 (août 2022).

    https://doi.org/10.1016/j.conbuildmat.2022.128174

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