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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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
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| Series: | Case Studies in Construction Materials |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2214509525008186 |
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