System identification of structures based on measured response data can play a key role in
improving reliability based structural designs. However, the experimental limitations of in situ
tests and uncertainties of required model complexity together with the inverse nature of
system identification give rise to a number of challenging issues. Common examples of
these issues in spatially varying parameter identification problems are poor modelling or ill-
conditioning problems that are created due to inappropriate discretization of the parameter …

Abstract System identification of structures based on measured response data can play a
key role in improving reliability based structural designs. However, the experimental
limitations of in situ tests and uncertainties of required model complexity together with the
inverse nature of system identification give rise to a number of challenging issues. Common
examples of these issues in spatially varying parameter identification problems are poor
modelling or ill-conditioning problems that are created due to inappropriate discretization of …