Prediction of UHPC mechanical properties using optimized hybrid machine learning model with robust sensitivity and uncertainty analysis
This study presents a comprehensive evaluation of three hybrid machine learning models XGB-LGB, RF-XGB, and ET-LGB for predicting the mechanical performance of Ultra-High-Performance Concrete (UHPC), including compressive strength (CS), flexural strength (FS), and tensile strength (TS). Each dataset...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2025-01-01
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| Series: | Materials Research Express |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2053-1591/adf8c4 |
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