The consistent and secure operation can be well ensured in an engineering system by effectively identifying the damage in the structures.
Cawley and Adams (Cawley and Adams 1979) introduced a simple method for identifying the damage location by structural natural frequencies.
In conclusion, the possibility of identifying the damage parameters by means of pseudo-experimental data is examined.
Therefore, many researchers have focused on identifying the damage location.
Mutuality was established between the quantity of training data and the accuracy of answers to the two questions of interest, and was experimentally validated by identifying the position of actual damage in carbon fibre-reinforced composite laminates.
In order to detect structural damage using measured displacements from video, an unscented Kalman filter is used to remove noise from the displacement measurement and simultaneously detect damage by identifying the current stiffness and damping coefficient values, given a known mass, which are used to detect damage.
Within exotic forests, however, the risk of landslide damage could be alleviated by identifying the 'most-at-risk' areas and consider their exclusion from commercial forest use.
Thus, our focus in the present studies was to investigate the putative link between genotoxicant-induced DNA damage and neuronal function by identifying the genes in immature neurons specifically targeted by different genotoxicants (i.e., MAM, HN2).
As commented earlier, these two first models were monitored by accelerometers in order to identify the damage influence on the dynamic behavior of the joint.
From the obtained mode shapes, the CMD were calculated by the central difference operation to identify the damage in composite beams.
