A framework for quantifying the value of vibration-based structural health monitoring

The difficulty in quantifying the benefit of Structural Health Monitoring (SHM) for decision support is one bottlenecks to an extensive adoption SHM on real-world structures. In this paper, we present a framework such quantification value vibration-based SHM, which can be flexibly applied different use cases. These cover SHM-based decisions at time scales, from near-real diagnostics prognosis slowly evolving deterioration processes over lifetime structure. includes advanced model system. It employs Bayesian filter tasks sequential joint state-parameter estimation and structural reliability updating, using continuously identified modal intermittent visual inspection data. also realistic maintenance throughout life-cycle. On basis, Value quantified by difference expected total life-cycle costs with without SHM. We investigate through application numerical two-span bridge system, subjected gradual shock deterioration, as well changing environmental conditions, its lifetime. results show that used a-priori tool inform whether or not install system structure, wide range