Editorial

摘要

With the increasing age of civil infrastructures combined with the application of new technologies and materials, there is a need to derive knowledge about the actual condition of a structure, aiming not just at knowing that its performance may have deteriorated, but rather to be able to pinpoint the degradation location and more importantly to assess remaining performance levels and life. This has led to the development of the field of SHM and system identification (Carden and Fanning, 2004; Das et al., 2016). Due to inherent randomness, probabilistic methods must be applied, while considering all aspects of uncertainties arising from external loading, structural properties, etc. for better description and assessment of structural behaviour and health status during the service period.