Abstract
To decrease the contaminant leaching and radon exhalation from uranium tailings, a phosphoric acid-based geopolymer (PAG) precursor was selected as a solidifying agent to bind coarse sands to achieve compact structures. Machine learning was applied to explore the optimal ratio of geopolymer preparation, aimed at achieving a higher compressive strength of solidified bodies. Results showed that the maximum compressive strength of 18.964 MPa appeared at the mass ratio of 2.8 for phosphoric acid/kaolin. The uranium leaching rate of 0.70 × 10−6 cm/d on the 42nd day was three orders of magnitude less than the clay mixture-based geopolymer solidified bodies. The successful synthesis of geopolymer was evidenced by the X-ray diffraction (XRD) and Fourier transform infrared spectroscopy (FTIR), the homogeneous and dense structure of solidified bodies was characterized by the scanning electron microscopy (SEM).
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References
Liu B, Peng T, Sun H, Yue H (2017) Release behavior of uranium in uranium mill tailings under environmental conditions. J Environ Radioact 171:160–168. https://doi.org/10.1016/j.jenvrad.2017.02.016
Vu T, Gowripalan N (2018) Mechanisms of heavy metal immobilisation using geopolymerisation techniques – a review. J Adv Concr Technol 16:124–135. https://doi.org/10.3151/jact.16.124
Jiang F, Guo J, Wang X, Liu Y, Li X, Chen G, Wang Z, Yang J, Tan B (2020) Experimental study on the leaching performance of U(VI) solidified by uranium tailing cement with different admixtures and ratios. Environ Technol Innov. https://doi.org/10.1016/j.eti.2019.100506
Jiang F, Hao Y, Wu H, Liu Y, Wang Z, Tan B, Zhang C, Lan M (2022) Study on damage degradation and radon emission from uranium tailing polymer-solidified soil under freeze-thaw cycles. J Radioanal Nucl Chem. https://doi.org/10.1007/s10967-022-08219-y
Wang F, Chen G, Ji L, Yuan Z (2020) Preparation and mechanical properties of cemented uranium tailing backfill based on alkali-activated slag. Adv Mater Sci Eng. https://doi.org/10.1155/2020/6345206
Singh B, Ishwarya G, Gupta M, Bhattacharyya SK (2015) Geopolymer concrete: a review of some recent developments. Constr Build Mater 85:78–90. https://doi.org/10.1016/j.conbuildmat.2015.03.036
El-Eswed BI, Yousef RI, Alshaaer M, Hamadneh I, Al-Gharabli SI, Khalili F (2015) Stabilization/solidification of heavy metals in kaolin/zeolite based geopolymers. Int J Miner Process 137:34–42. https://doi.org/10.1016/j.minpro.2015.03.002
Tan Q, Li N, Xu Z, Chen X, Peng X, Shuai Q, Yao Z (2019) Comparative performance of cement and metakaolin based-geopolymer blocks for strontium immobilization. J Ceram Soc Jpn 127:44–49. https://doi.org/10.2109/jcersj2.18130
Zhao SJ, Xia M, Yu L, Huang X, Jiao BQ, Li DW (2021) Optimization for the preparation of composite geopolymer using response surface methodology and its application in lead-zinc tailings solidification. Constr Build Mater. https://doi.org/10.1016/j.conbuildmat.2020.120969
Liu LP, Cui XM, Qiu SH, Yu JL, Lin Z (2010) Preparation of phosphoric acid-based porous geopolymers. Appl Clay Sci 50:600–603
Derouiche R, Baklouti S (2021) Phosphoric acid based geopolymerization: Effect of the mechanochemical and the thermal activation of the kaolin. Ceram Int 47:13446–13456. https://doi.org/10.1016/j.ceramint.2021.01.203
Baifa Z, Guo H, Yuan P, Deng L, Zhong X, Li Y, Wang Q, Liu D (2020) Novel acid-based geopolymer synthesized from nanosized tubular halloysite: the role of precalcination temperature and phosphoric acid concentration. Cement Concr Compos 110:103601. https://doi.org/10.1016/j.cemconcomp.2020.103601
Chen S, Zhou Z-W, Sun X-W (2021) Immobilization of simulated 137CsCl using metakaolin based geopolymers obtained by hybrid hydrothermal-sintering processes. J Radioanal Nucl Chem 330:1285–1298. https://doi.org/10.1007/s10967-021-08048-5
Jiang F, Chen G, Li M, Liu Y, Li X, Guo J, Wu H, Wang Z (2019) Experimental study of different admixture effects on the properties of uranium mill tailing solidified bodies. J Radioanal Nucl Chem 322:1159–1168. https://doi.org/10.1007/s10967-019-06825-x
Yang Q, Xu R, Wu P, He J, Liu C, Jiang W (2021) Three-step treatment of real complex, variable high-COD rolling wastewater by rational adjustment of acidification, adsorption, and photocatalysis using big data analysis. Sep Purif Technol. https://doi.org/10.1016/j.seppur.2021.118865
Louati S, Baklouti S, Samet B (2016) Acid based geopolymerization kinetics: effect of clay particle size. Appl Clay Sci 132:571–578. https://doi.org/10.1016/j.clay.2016.08.007
Zhang B, Guo H, Deng L, Fan W, Yu T, Wang Q (2020) Undehydrated kaolinite as materials for the preparation of geopolymer through phosphoric acid-activation. Appl Clay Sci. https://doi.org/10.1016/j.clay.2020.105887
Mathivet V, Jouin J, Gharzouni A, Sobrados I, Celerier H, Rossignol S, Parlier M (2019) Acid-based geopolymers: Understanding of the structural evolutions during consolidation and after thermal treatments. J Non-Cryst Solids 512:90–97. https://doi.org/10.1016/j.jnoncrysol.2019.02.025
Styskalik A, Skoda D, Moravec Z, Abbott JG, Barnes CE, Pinkas J (2014) Synthesis of homogeneous silicophosphate xerogels by non-hydrolytic condensation reactions. Micropor Mesopor Mater 197:204–212. https://doi.org/10.1016/j.micromeso.2014.06.019
Bekiaris G, Peltre C, Jensen LS, Bruun S (2016) Using FTIR-photoacoustic spectroscopy for phosphorus speciation analysis of biochars. Spectroch Acta Part A: Molecul Biomol Spectrosc. https://doi.org/10.1016/j.saa.2016.05.049
Jastrzębski W, Sitarz M, Rokita M, Bułat K (2011) Infrared spectroscopy of different phosphates structures. Spectrochimica Acta Part A: Molecul Biomol Spectrosc. https://doi.org/10.1016/j.saa.2010.08.044
Djobo JNY, Nkwaju RY (2021) Preparation of acid aluminum phosphate solutions for metakaolin phosphate geopolymer binder. RSC Adv 11:32258–32268. https://doi.org/10.1039/d1ra05433c
Tchakoute HK, Ruescher CH, Kamseu E, Andreola F, Leonelli C (2017) Influence of the molar concentration of phosphoric acid solution on the properties of metakaolin-phosphate-based geopolymer cements. Appl Clay Sci 147:184–194. https://doi.org/10.1016/j.clay.2017.07.036
Tchakoute HK, Ruescher CH, Kamseu E, Djobo JNY, Leonelli C (2017) The influence of gibbsite in kaolin and the formation of berlinite on the properties of metakaolin-phosphate-based geopolymer cements. Mater Chem Phys 199:280–288. https://doi.org/10.1016/j.matchemphys.2017.07.020
Liu L, Han G, Xu Z, Jiang J, Shu L, Martinez-Garcia M (2022) Boundary tracking of continuous objects based on binary tree structured svm for industrial wireless sensor networks. IEEE Trans Mob Comput 21:849–861. https://doi.org/10.1109/tmc.2020.3019393
Yoon S, Hyun-Tae B, Kim G-Y, Min JH (2021) Evaluation of a thermal conductivity prediction model for compacted clay based on a machine learning method (기계학습법을 통한 압축 벤토나이트의 열전도도 추정 모델 평가). KSCE J Civil Environ Eng Resear 41:123–131
Jin W, Zhang J-q, Zhang X (2011) Face recognition method based on support vector machine and particle swarm optimization. Expert Syst Appl 38:4390–4393. https://doi.org/10.1016/j.eswa.2010.09.108
Tan X, Yu F, Zhao X (2019) Support vector machine algorithm for artificial intelligence optimization. Clust Comput J Netw Softw Tool Appl 22:15015–15021. https://doi.org/10.1007/s10586-018-2490-7
Jiang F, Tan B, Wang Z, Liu Y, Hao Y, Zhang C, Wu H, Hong C (2022) Preparation and related properties of geopolymer solidified uranium tailings bodies with various fibers and fiber content. Environ Sci Pollut Res 29:20603–20616. https://doi.org/10.1007/s11356-021-17176-0
Acknowledgements
This work was supported by the Project Approved by the Provincial Education Department of Hunan Province, China (No.19A420), the Natural science foundation of Hunan Province (Grant Nos. 2020JJ5463; 2021JJ40463).
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Zhao, T., Wu, H., Sun, J. et al. Immobilization of uranium tailings by phosphoric acid-based geopolymer with optimization of machine learning. J Radioanal Nucl Chem 331, 4047–4054 (2022). https://doi.org/10.1007/s10967-022-08454-3
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DOI: https://doi.org/10.1007/s10967-022-08454-3