Optimized design method for underwater anti-dispersive cement-based materials based on multi-scale coupling of molecular dynamics and machine learning

Water flow in underwater grouting causes severe slurry dispersion, compromising cement-based material stability. Traditional empirical mix design cannot simultaneously optimize fluidity, anti-dispersion performance, and mechanical strength. To solve this, we propose a multi-scale framework combining...

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Ngā kaituhi matua:	Lingfeng Zhao, Zengguang Xu, Xican Cui, Jingxin Pan, Fan Zhang, Zimeng Chen, Cheng Cao, Junrui Chai
Hōputu:	Artigo
Reo:	Inglês
I whakaputaina:	Elsevier 2026-04-01
Rangatū:	Developments in the Built Environment
Ngā marau:	Molecular Dynamics (MD) Machine learning (XGBoost–SHAP) Anti-dispersion cementitious materials Interfacial interaction mechanisms Diffusion and hydration dynamics Multi-scale design framework
Urunga tuihono:	http://www.sciencedirect.com/science/article/pii/S266616592600061X
Ngā Tūtohu:	Tāpirihia he Tūtohu Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!