[1] [1] SWAMY R N. High performance and durability through design[J]. Special Publication, 1996, 159: 209-230.

[2] [2] BHARATKUMAR B H, NARAYANAN R, RAGHUPRASAD B K, et al. Mix proportioning of high performance concrete[J]. Cement and Concrete Composites, 2001, 23(1): 71-80.

[3] [3] DUSHIMIMANA A, NIYONSENGA A A, NZAMURAMBAHO F. A review on strength development of high performance concrete[J]. Construction and Building Materials, 2021, 307: 124865.

[12] [12] YEH I C. Concrete compressive strength[CP]. UCI Machine Learning Repository, 2007.

[15] [15] MUKHERJEE A, NAG BISWAS S. Artificial neural networks in prediction of mechanical behavior of concrete at high temperature[J]. Nuclear Engineering and Design, 1997, 178(1): 1-11.

[16] [16] BAI J, WILD S, WARE J A, et al. Using neural networks to predict workability of concrete incorporating metakaolin and fly ash[J]. Advances in Engineering Software, 2003, 34(11/12): 663-669.

[19] [19] WANG K W, REN J, YAN J W, et al. Research on a concrete compressive strength prediction method based on the random forest and LCSSA-improved BP neural network[J]. Journal of Building Engineering, 2023, 76: 107150.