Comparison of artificial neural network and response surface methodology prediction in key performance of two-component grout material in shield tunneling

In this study, response surface methodology (RSM) and artificial neural network (ANN) techniques were employed to predict the key performance of a two-component grout material used in shield tunneling, considering the 28 d compressive strength, gel time, initial and final setting times, and water-to...

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Бібліографічні деталі
Автори:	Kailong Lu, Xudong Chen, Jiahong Zhang, Jiaming Chen, Zhenwei Liu, Lulu Chen
Формат:	Artigo
Мова:	Inglês
Опубліковано:	Elsevier 2025-12-01
Серія:	Case Studies in Construction Materials
Предмети:	Response surface method Two-component grout Artificial neural network Mix proportion Shield tunneling
Онлайн доступ:	http://www.sciencedirect.com/science/article/pii/S2214509525008186
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Comparison of artificial neural network and response surface methodology prediction in key performance of two-component grout material in shield tunneling

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