Description:
<jats:p>The subject of this research is the implementation of a Smart Structural Health Monitoring based on structural analysis and its validation on the plate under compressive loading. In the given context the structural analysis provides the most probable failure mode of the structure, e.g. buckling and the stress and deformation state at failure. With this information an algorithm analyses the onset of failure and infers from these analysis results the measurement values, which have to be monitored to identify the damage. By means of this, an appropriate sensor and the optimal sensor placement are chosen. As this pre-process supports the damage identification it is referred to as Smart Structural Health Monitoring (SSHM). The potential of SSHM to optimize the damage identification process is compared to a simple Structural Health Monitoring is demonstrated with a plate under compressive loading. In an experimental setup the plate is loaded up to buckling. After buckling the loading still increases up to failure of the plate caused by the deformations in the post buckling region. With a minimum of sensors and in combination with the analysis results of the SSHM the damage of the plate is detected, located and quantified.</jats:p>