Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects
Structural health in civil engineering involved maintaining a structure's integrity and performance over time, resisting loads and environmental effects. Ensuring long-term functionality was vital to prevent accidents, economic losses, and service interruptions. Structural health monitoring (SH...
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| Main Authors: | A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
AIMS Press
2024-10-01
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| Series: | AIMS Mathematics |
| Subjects: | |
| Online Access: | https://www.aimspress.com/article/doi/10.3934/math.20241472?viewType=HTML |
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