“…Bayesian inference has been widely used in model-based structural health monitoring and prognostics in the context of damage diagnosis and damage prognosis, where sensor data of any kind is used in conjunction with physics and measuring characterising models to assess the state of a single component or a whole structure while taking into account system-inherent uncertainties and variabilities, e.g. [11,12]. In the presence of unknown parameters that govern the physics-based models, for example parameters of a damage evolution model, the inverse problem becomes even more complex.…”