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Y. K. Kong ORCID

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. Kong, Y. K. / Kurumisawa, Kiyofumi (2023): Application of machine learning in predicting workability for alkali-activated materials. In: Case Studies in Construction Materials, v. 18 (July 2023).

    https://doi.org/10.1016/j.cscm.2023.e02173

  2. Kong, Y. K. / Kurumisawa, Kiyofumi (2023): Fresh properties and characteristic testing methods for alkali-activated materials: A review. In: Journal of Building Engineering, v. 75 (September 2023).

    https://doi.org/10.1016/j.jobe.2023.106830

  3. Chu, S. H. / Kurumisawa, K. / Kong, Y. K. (2023): Physically explicable mathematical model for strength prediction of UHPFRC. In: Engineering Structures, v. 275 (January 2023).

    https://doi.org/10.1016/j.engstruct.2022.115191

  4. Kong, Y. K. / Kurumisawa, Kiyofumi (2022): Prediction of the drying shrinkage of alkali-activated materials using artificial neural networks. In: Case Studies in Construction Materials, v. 17 (December 2022).

    https://doi.org/10.1016/j.cscm.2022.e01166

  5. Kong, Y. K. / Chu, S. H. (2022): Modeling the Drying Shrinkage of Cement Paste Prepared with Wastewater. In: Journal of Materials in Civil Engineering (ASCE), v. 34, n. 6 (June 2022).

    https://doi.org/10.1061/(asce)mt.1943-5533.0004249

  6. Chu, S. H. / Kong, Y. K. (2021): Mathematical model for strength of alkali-activated materials. In: Journal of Building Engineering, v. 44 (December 2021).

    https://doi.org/10.1016/j.jobe.2021.103189

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