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Sanjog Chhetri Sapkota ORCID

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

  1. Hoque, Md Ahatasamul / Shrestha, Ajad / Sapkota, Sanjog Chhetri / Ahmed, Asif / Paudel, Satish: Prediction of autogenous shrinkage in ultra-high-performance concrete (UHPC) using hybridized machine learning. In: Asian Journal of Civil Engineering.

    https://doi.org/10.1007/s42107-024-01212-8

  2. Subedi, Ajaya / Thapa, Bhum Bahadur / Poudel, Ashish / Adhikari, Binaya / Khadka, Binod / Poudel, Samrat / Sapkota, Sanjog Chhetri: Exploring the potential of Himalayan Giant Nettle fiber and supplementary cementitious materials for sustainable concrete development. In: Asian Journal of Civil Engineering.

    https://doi.org/10.1007/s42107-024-01211-9

  3. Saha, Amit / Sapkota, Sanjog Chhetri / Saha, Prasenjit / Debnath, Prasenjit / Hazari, Suman / Das, Sourav / Samui, Pijush: Prediction of bearing capacity of geogrid-reinforced sand over stone columns in soft clay. In: Proceedings of the Institution of Civil Engineers - Ground Improvement.

    https://doi.org/10.1680/jgrim.24.00032

  4. Panth, Gaurav / Shrestha, Ajad / Sapkota, Sanjog Chhetri (2024): Comparative nonlinear analysis of confined masonry walls: simplified micro-modelling versus finite element modelling in ETABS. In: Asian Journal of Civil Engineering, v. 25, n. 7 (Juli 2024).

    https://doi.org/10.1007/s42107-024-01123-8

  5. Shrestha, Ajad / Sapkota, Sanjog Chhetri (2024): Hybrid machine learning model to predict the mechanical properties of ultra-high-performance concrete (UHPC) with experimental validation. In: Asian Journal of Civil Engineering, v. 25, n. 7 (Juli 2024).

    https://doi.org/10.1007/s42107-024-01109-6

  6. 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

  7. Ghani, Sufyan / Sapkota, Sanjog Chhetri / Singh, Raushan Kumar / Bardhan, Abidhan / Asteris, Panagiotis G. (2024): Modelling and validation of liquefaction potential index of fine-grained soils using ensemble learning paradigms. In: Soil Dynamics and Earthquake Engineering, v. 177 (Februar 2024).

    https://doi.org/10.1016/j.soildyn.2023.108399

  8. 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

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