Prediction of self-consolidating concrete properties using XGBoost machine learning algorithm: Rheological properties
Rheological properties are critical for assessing self-consolidating concrete (SCC)’s performance and application. However, predicting these properties accurately, specifically plastic viscosity and yield stress, faces challenges due to inconsistent data, small sample sizes, and measurement inaccura...
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| Published in: | Powder technology Vol. 438; p. 119623 |
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| Main Authors: | , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
Elsevier B.V
01.04.2024
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| Subjects: | |
| ISSN: | 0032-5910, 1873-328X |
| Online Access: | Get full text |
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