The accuracy achieved by the data models indicates that MID could potentially be used as a damage detection method. This magnitude of frequency shift is similar to the level of frequency shift reported for a range of bridge damage cases found by others and validated with FE models. It was determined that the data models could reliably detect frequency shifts as low as 0.01 Hz. The results from MID were assessed to determine whether they could detect a suitably small shift in frequency, which is indicative of damage. This approach will be investigated to determine whether MID is a feasible approach for monitoring short- and medium- span bridges. MID is an approach that utilises low-cost, easily implementable sensors that are potentially feasible for operators to purchase and operate across a network. Therefore, this study proposes Minimal Information Data-modelling (MID). Historically, the logistical difficulty of collecting data on short- and medium-span bridges has meant that the usefulness of vibration-based methods on these bridges is largely unknown. However, vibration-based monitoring has mostly been undertaken on long-span bridges using data collected with a dense network of sensors. Within SHM, vibration-based monitoring is generally seen as one of the more cost-effective types of monitoring. Structural Health Monitoring (SHM) is a technique that involves gathering information to ensure that a structure is safe and behaving as expected.
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