[1] [1] MSILA X, LABUSCHAGNE F, BARNARD W, et al. Radioactive nuclides in phosphogypsum from the lowveld region of South Africa[J]. South African Journal of Science, 2016, 112(1/2): 5.

[4] [4] WANG C Q, CHEN S, HUANG D M, et al. Safe environmentally friendly reuse of red mud modified phosphogypsum composite cementitious material[J]. Construction and Building Materials, 2023, 368: 130348.

[5] [5] DING C, SUN T, SHUI Z H, et al. Physical properties, strength, and impurities stability of phosphogypsum-based cold-bonded aggregates[J]. Construction and Building Materials, 2022, 331: 127307.

[7] [7] OUYANG G S, SUN T, YU Z C, et al. Investigation on macroscopic properties, leachability and microstructures of surface reinforced phosphogypsum-based cold-bonded aggregates[J]. Journal of Building Engineering, 2023, 69: 106305.

[9] [9] BIEGLER-KNIG F, BRMANN F. A learning algorithm for multilayered neural networks based on linear least squares problems[J]. Neural Networks, 1993, 6(1): 127-131.

[13] [13] DUAN Z H, KOU S C, POON C S. Prediction of compressive strength of recycled aggregate concrete using artificial neural networks[J]. Construction and Building Materials, 2013, 40: 1200-1206.

[23] [23] GAO S, GUO J, ZHU Y G, et al. Study on the influence of the properties of interfacial transition zones on the performance of recycled aggregate concrete[J]. Construction and Building Materials, 2023, 408: 133592.