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Number of items: 8.

Cui, Tianyi, Kulasegaram, Sivakumar ORCID: https://orcid.org/0000-0002-9841-1339 and Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 2024. Design automation of sustainable self-compacting concrete containing fly ash via data driven performance prediction. Journal of Building Engineering 87 , 108960. 10.1016/j.jobe.2024.108960
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Gao, Zhenghui, Cui, Tianyi, Qian, Hang, Sapsford, Devin J. ORCID: https://orcid.org/0000-0002-6763-7909, Cleall, Peter J. ORCID: https://orcid.org/0000-0002-4005-5319 and Harbottle, Michael J. ORCID: https://orcid.org/0000-0002-6443-5340 2024. Can wood waste be a feedstock for anaerobic digestion? A machine learning assisted meta-analysis. Chemical Engineering Journal 487 , 150496. 10.1016/j.cej.2024.150496
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Gao, Zhenghui, Qian, Hang, Cui, Tianyi, Ren, Zongqiang and Wang, Xingjing 2024. Comprehensive meta-analysis reveals the impact of non-biodegradable plastic pollution on methane production in anaerobic digestion. Chemical Engineering Journal 484 , 149703. 10.1016/j.cej.2024.149703
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Alshahrani, Abdullah ORCID: https://orcid.org/0000-0002-2454-3427, Cui, Tianyi, Almutlaqah, Ayman and Kulasegaram, Sivakumar ORCID: https://orcid.org/0000-0002-9841-1339 2023. Designing sustainable high-strength self-compacting concrete with high content of supplementary cementitious materials. European Journal of Environmental and Civil Engineering 10.1080/19648189.2023.2279563
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Cui, Tianyi, Kulasegaram, Sivakumar ORCID: https://orcid.org/0000-0002-9841-1339 and Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 2023. Prediction of mechanical properties of steel fibre-reinforced self-compacting concrete by machine learning algorithms. Presented at: International RILEM Conference on Synergising expertise towards sustainability and robustness of CBMs and concrete structures, 14-16 June 2023. SynerCrete 2023, RILEM Bookseries. , vol.44 Cham, Switzerland: Springer, pp. 703-711. 10.1007/978-3-031-33187-9_65
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Cui, Tianyi, Kulasegaram, Sivakumar ORCID: https://orcid.org/0000-0002-9841-1339 and Li, Haijiang ORCID: https://orcid.org/0000-0001-6326-8133 2022. Predicting fresh and hardened properties of self-compacting concrete containing fly ash by artificial neural network model. Presented at: Concrete Solutions 2022:8th International Conference on Concrete Repair, Durability, Service Life and Concrete Technology, Leeds, UK, 11-13 July 2022. MATEC Web of Conferences: Concrete Solutions 2022 – 8th International Conference on Concrete Repair, Durability & Technology. EDP Sciences, 05005. 10.1051/matecconf/202236105005
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Alshahrani, Abdullah ORCID: https://orcid.org/0000-0002-2454-3427, Cui, Tianyi and Kulasegaram, Sivakumar ORCID: https://orcid.org/0000-0002-9841-1339 2022. Effect of sand to aggregate ratio on the properties of self-compacting high-performance concrete. International Journal of Civil Infrastructure (IJCI) 5 , pp. 37-42. 10.11159/ijci.2022.006
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Alshahrani, Abdullah ORCID: https://orcid.org/0000-0002-2454-3427, Cui, Tianyi and Kulasegaram, Sivakumar ORCID: https://orcid.org/0000-0002-9841-1339 2022. Influence of sand to aggregate ratio on the fresh and mechanical properties of self-compacting high-performance concrete. Presented at: The 7th World Congress on Civil, Structural, and Environmental Engineering (CSEE'22), 10-12 April 2022. Proceedings of the 7th World Congress on Civil, Structural, and Environmental Engineering (CSEE'22). ICSECT, 10.11159/icsect22.171
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