Publica
Hier finden Sie wissenschaftliche Publikationen aus den FraunhoferInstituten. Statistical approach for active buckling control with uncertainty
 Clerck, J. de ; Society for Experimental Mechanics: Topics in Modal Analysis I, Vol.7. 32nd IMAC, A Conference and Exposition on Structural Dynamics 2014. Proceedings : Held in Orlando, Florida, February 3–6, 2014 Cham: Springer International Publishing, 2014 ISBN: 9783319047522 (Print) ISBN: 9783319047539 (Online) ISBN: 3319047523 S.291297 
 Conference and Exposition on Structural Dynamics <2014, Orlando/Fla.> International Modal Analysis Conference(IMAC) <32, 2014, Orlando/Fla.> 

 Englisch 
 Konferenzbeitrag 
 Fraunhofer LBF () 
 statistical approach; active buckling control 
Abstract
Buckling of loadcarrying column structures is an important failure scenario in lightweight structures as it may result in the collapse of the entire structure. If the actual loading is unknown, stability becomes uncertain. To investigate uncertainty, a critically loaded beamcolumn, subject to buckling, clamped at the base and pinned at the upper end is considered, since it is highly sensitive to small changes in loading. To control the uncertainty of failure due to buckling, active forces are applied with two piezoelectric stack actuators arranged in opposing directions near the beamcolumn’s base to prevent it from buckling. In this paper, active buckling control is investigated experimentally. A mathematical model of the beamcolumn is built and a model based Linear Quadratic Regulator (LQR) is designed to stabilize the system. The controller is implemented on the experimental test setup and a statistically relevant number of experiments is conducted to prove the effect of active stabilization. It is found that the load bearing capacity of the beamcolumn could be increased by more than 40% for the experimental test setup using different controller parameters for three ranges of axial loading.