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Interpretable machine learning for quantifying environmental and operational impacts on structural responses in long-span bridges

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Structural Health Monitoring: An International Journal

Published online on

Abstract

Structural Health Monitoring, Ahead of Print.
Machine learning techniques have established sophisticated relationships between long-span bridge responses and environmental and operational variations (EOVs) for structural health monitoring (SHM) systems. Enhancing the interpretability of the machine ...