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This overview highlights techniques for assessing bridge integrity using vibrations and machine learning, suggesting future improvements.
An overview of the main recent techniques of Bridge Health Monitoring (BHM) is here presented. The use of vibrations induced by artificial or natural loads is investigated in terms of review of State-of-Art, together with ordinary (i.e. traffic, wind) or extreme events (i.e. seism, impact). The data can be interpreted by direct modelling or by machine learning routines in order to obtain advertises to a deeper investigation on integrity or serviceability of the bridge. A brief discussion on key gaps and perspectives is finally presented.
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Bacha et al. (2026) studied this question.
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