Journals Proceedings

Abstract

Smart structures are adopting the sensorization and leading the structural systems into a non-trivial situation. Hence those structures required complex monitoring, controlling and updating techniques. In order to understand the changes over time of such systems it is essential to understand the effect of uncertainties. There are several known and unknown sources of uncertainties such as environmental variation which may alter the frequencies of the structures as a results they might encounter severe problems or even full collapse. In order to get the best out of the implemented technologies it is necessary to understand the uncertainties issues related to structural properties i.e., stiffness, damping and mass. Additionally, the structural systems required proper treatment as they will essentially handle extreme unknown dynamic loads. For adapting with the aforementioned changes system parameters need to be identified and updated/adjusted throughout their life time. As dynamic loads are always serious concern, hence, herein the El Centro 1940 earthquake is employed and the response is evaluated. The response is evaluated for several cases for understanding the uncertainty effects of stiffness, damping and mass of the system. In a nutshell, in this study, the dynamical states and system parameters both are assumed to be unknown simultaneously which forms a nonlinear identification problem. To this end, a nonlinear filter so-called the unscented Kalman filter (UKF) is employed. The numerically obtained results show potential which requires further investigation by combining with the different control techniques.