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Damage detection for bridges via adaptive modal neighborhood standardization considering environmental variability

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Structural Health Monitoring: An International Journal

Published online on

Abstract

Structural Health Monitoring, Ahead of Print.
Data-driven unsupervised learning models are widely regarded as valuable tools for bridge damage detection. However, variable environmental conditions introduce nonlinear and non-Gaussian characteristics in modal frequencies, along with local ...